ErrLookup › invoke-ai/InvokeAI

invoke-ai/InvokeAI

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products. · Python · 2,490 source files

Analyzed at 0b6a024f2f on 2026-08-29. 1054 documented errors.

Code / Message	Type	Severity	Tags
Invalid or expired token	http	error	tensor, quantization, shape-validation, valueerror
User not found or inactive	http	error	scheduler, config-validation, valueerror, diffusion
Missing authentication credentials	http	error	scheduler, config-validation, valueerror, diffusion
Invalid or expired authentication token	http	error	scheduler, config-validation, valueerror, rectified-flow
User account is inactive or does not exist	http	error	scheduler, not-implemented, config-validation, diffusion
Authentication required	http	error	scheduler, argument-validation, valueerror, diffusion
Admin privileges required	http	error	model-loading, spandrel, type-validation, upscaling
Not authorized to modify this image	http	error	auth, forbidden, image, multiuser, ownership
Image not found	http	error	http-404, image, not-found, deleted-resource
Not authorized to access this image	http	error	auth, forbidden, image, multiuser, board-visibility
Board not found	http	error	http-404, board, not-found, deleted-resource
Not authorized to access this board	http	error	auth, forbidden, board, multiuser, board-visibility
str(e)	http	warning	http-422, config, gpu-device
No external provider config fields provided	http	error	http-400, api-request, validation
Unknown external provider '{provider_id}'	http	error	http-404, api-request, unknown-identifier
Multiuser mode is disabled. Authentication is not required i	http	warning	http-403, authentication, config
Incorrect email or password	http	error	http-401, authentication, invalid-credentials
User account is disabled	http	error	http-403, authentication, account-disabled
Authentication required	http	error	http-401, authentication, bearer-token
Invalid or expired token	http	error	http-401, jwt, token-expired
User not found	http	error	http-404, authentication, stale-token
Multiuser mode is disabled. Admin setup is not required in s	http	warning	http-403, authentication, config
Administrator account already configured	http	error	http-400, auth, setup, fastapi
str(e)	http	error	http-400, validation, auth, password-policy
The system user cannot be deleted, deactivated, promoted to	http	error	http-400, users, protected-resource, auth
Cannot remove the last administrator	http	error	http-400, auth, admin, users, lockout
str(e) (ValueError from user service update, e.g. LastAdmini	http	error	http-400, users, race-condition, validation
str(e) (ValueError from user service delete, e.g. LastAdmini	http	error	http-400, race-condition, user-service, last-admin
Current password is required to set a new password	http	error	http-400, password-change, validation, auth
Current password is incorrect	http	error	http-400, wrong-password, authentication, password-change
Board not found	http	error	http-404, board, not-found, rest-api
Not authorized to modify this board	http	error	http-403, authorization, board, permissions
Not authorized to move this image	http	error	http-403, authorization, image, board
Failed to add image to board	http	critical	http-500, server-error, board, storage
Failed to remove image from board	http	error	http-500, api, database, invokeai
Failed to add images to board	http	error	http-500, api, batch, database
Failed to remove images from board	http	error	http-500, api, batch, database
Failed to create board	http	error	http-500, api, boards, database
Board not found	http	warning	http-404, api, boards, stale-reference
Not authorized to access this board	http	error	http-403, authorization, multi-user, boards
Not authorized to update this board	http	error	http-403, authorization, multi-user, boards
Failed to update board	http	error	http-500, api, boards, validation
Not authorized to delete this board	http	warning	http-403, authorization, boards, ownership
Failed to delete board after partially deleting media	http	error	http-500, partial-failure, boards, consistency
Failed to delete board	http	error	http-500, boards, database
Invalid request: Must provide either 'all' or both 'offset'	http	warning	http-400, validation, pagination, boards
Error getting client state	http	error	http-500, client-state, persistence, database
Error setting client state	http	error	http-500, client-state, persistence, write-failure
Error getting client state keys	http	error	http-500, client-state, persistence, database
Error deleting client state key	http	error	http-500, client-state, persistence, deletion
Failed to get intermediates	http	error	http-500, api, invokeai
Failed to update image	http	error	http-400, api, invokeai
Failed to delete images	http	error	http-500, api, invokeai
Failed to star images	http	error	http-500, api, invokeai
Failed to unstar images	http	error	http-500, api, invokeai
No images or board id specified.	http	warning	http-400, validation, api
Not authorized to access this download	http	warning	http-403, authorization, multi-user
Failed to get image names	http	error	http-500, search, api
Failed to get image DTOs	http	error	http-500, api, invokeai
The model with key {key} is not a main SD 1/2/XL checkpoint	http	error	http-400, model-manager, checkpoint-conversion
str(e) (Exception during conversion)	http	error	http-409, model-conversion, install-failure
Cannot relate a model to itself.	http	warning	http-400, validation, model-relationships
str(e) (ValueError, relationship already exists)	http	info	http-409, duplicate, model-relationships
Cannot unlink a model from itself.	http	warning	http-400, validation, model-relationships
str(e) (ValueError, relationship not found)	http	info	http-404, not-found, model-relationships
Not authorized to access image {image_name}	http	warning	http-403, authorization, image-access
The 'strict' and 'append' query parameters are mutually excl	http	warning	http-400, validation, query-parameters
Error setting recall parameter {param_key}	http	error	http-500, persistence, client-state
Error updating recall parameters	http	error	http-500, unhandled-exception, recall-parameters
Error retrieving recall parameters	http	error	fastapi, http-500, api, database
Unexpected error while enqueuing batch: {e}	http	error	fastapi, http-500, queue, api
Unexpected error while listing all queue items: {e}	http	error	fastapi, http-500, queue, api
Unexpected error while listing all queue item ids: {e}	http	error	fastapi, http-500, queue, api
Failed to get queue items	http	error	fastapi, http-500, queue, api
Failed to get queue item summaries	http	error	fastapi, http-500, queue, api
Unexpected error while resuming queue: {e}	http	error	fastapi, http-500, queue, processor, api
Unexpected error while pausing queue: {e}	http	error	fastapi, http-500, queue, processor, api
Unexpected error while canceling all except current: {e}	http	error	fastapi, http-500, queue, cancellation, api
Unexpected error while deleting all except current: {e}	http	error	fastapi, http-500, queue, deletion, api
Unexpected error while canceling by batch id: {e}	http	error	http-500, fastapi, queue, database
Unexpected error while canceling by destination: {e}	http	error	http-500, fastapi, queue, database
Queue item with id {item_id} not found in queue {queue_id}	http	error	http-404, queue, validation, rest
You do not have permission to retry queue item {item_id}	http	error	http-403, permissions, auth, queue
Unexpected error while retrying queue items: {e}	http	error	http-500, fastapi, queue, retry
Unexpected error while clearing queue: {e}	http	error	http-500, fastapi, queue, database
Unexpected error while pruning queue: {e}	http	error	http-500, fastapi, queue, database
Unexpected error while getting current queue item: {e}	http	error	http-500, fastapi, queue, polling
Unexpected error while getting next queue item: {e}	http	error	http-500, fastapi, queue, polling
Unexpected error while getting queue status: {e}	http	error	fastapi, http-500, queue, database
Unexpected error while getting batch status: {e}	http	error	fastapi, http-500, queue, database
Unexpected error while fetching queue item: {e}	http	error	fastapi, http-500, queue, data-corruption
You do not have permission to delete this queue item	http	warning	fastapi, http-403, authorization, multi-user
Unexpected error while deleting queue item: {e}	http	error	fastapi, http-500, queue, database
You do not have permission to cancel this queue item	http	error	http-403, authorization, multi-user, invokeai
Unexpected error while canceling queue item: {e}	http	error	http-500, queue, database, unexpected-error
Unexpected error while fetching counts by destination: {e}	http	error	http-500, queue, database, unexpected-error
Unexpected error while deleting by destination: {e}	http	error	http-500, queue, database, unexpected-error
Not authorized to access this style preset	http	error	http-403, authorization, style-presets, multi-user
Default style presets cannot be modified	http	error	http-403, authorization, style-presets, immutable-resource
Not authorized to modify this style preset	http	error	http-403, authorization, style-presets, ownership
Style preset not found	http	warning	http-404, style-presets, not-found, invokeai
Invalid preset data	http	error	fastapi, pydantic, http-400, request-validation
Not an image	http	error	http-415, content-type, file-upload, fastapi
Failed to read image	http	error	http-415, pillow, image-decoding, file-upload
str(e)	http	warning	http-409, image-upload, validation, conflict
Only admins can create default presets	http	error	http-403, authorization, permissions, multiuser
System prompt not found	http	error	http-404, not-found, rest-api, fastapi
Not authorized to access this system prompt	http	warning	http-403, authorization, multiuser, fastapi
Not authorized to update this system prompt	http	warning	http-403, authorization, multiuser, fastapi
Not authorized to delete this system prompt	http	warning	http-403, authorization, multiuser, fastapi
Model '{model_key}' is not a TextLLM model (got {model_confi	http	error	valueerror, model-type, textllm, invokeai
Model '{body.model_key}' not found	http	error	http-404, model-not-found, invokeai, model-manager
Model '{model_key}' is not a LLaVA OneVision model (got {mod	http	error	valueerror, model-type, llava-onevision, invokeai
Expected LlavaOnevisionForConditionalGeneration, got {type(m	http	error	transformers, type-mismatch, llava, model-loading
Expected LlavaOnevisionProcessor, got {type(processor).__nam	http	error	transformers, processor, type-mismatch, llava
Image '{body.image_name}' not found	http	error	http-404, image-not-found, api
Not authorized to modify this video	http	error	http-403, authorization, multiuser, videos
Not authorized to move this video	http	error	http-403, authorization, multiuser, videos
Board not found	http	error	http-404, board-not-found, api
Not authorized to modify this board	http	error	http-403, authorization, boards, multiuser
Video not found	http	error	http-404, video-not-found, api
Not authorized to access this video	http	error	http-403, authorization, multiuser, videos
Video must use a browser-compatible H.264/AVC codec	http	error	video, codec, ffmpeg, upload, h264
Video has no decodable frame	http	error	video, decode, ffmpeg, corrupt-file, upload
Failed to delete video	http	error	http-500, server-error, filesystem, sqlite, video
Failed to update video	http	error	http-400, bad-request, rest-api, video, fastapi
Video record not found	http	warning	http-404, rest-api, video, fastapi
Video metadata not found	http	info	http-404, metadata, video, rest-api
Video workflow not found	http	info	http-404, workflow, video, rest-api
Video file not found	http	error	http-404, filesystem, video, oserror
Video thumbnail not found	http	info	http-404, thumbnail, video, media
Video URLs not found	http	error	http-404, rest-api, video, invokeai
Failed to get video names	http	error	http-500, rest-api, database, invokeai
Failed to add video to board	http	error	http-500, rest-api, boards, invokeai
Failed to remove video from board	http	error	http-500, rest-api, boards, invokeai
Failed to get virtual boards by date	http	error	http-500, rest-api, database, gallery, invokeai
Failed to get image names for date	http	error	http-500, rest-api, gallery, date-parsing, invokeai
Failed to get gallery item names for date	http	error	http-500, rest-api, gallery, invokeai
Workflow not found	http	error	http-404, rest-api, workflow, invokeai
Not authorized to access this workflow	http	warning	http-403, authorization, multiuser, workflow, invokeai
Not authorized to update this workflow	http	error	http-403, authorization, multiuser, rest-api
Not authorized to delete this workflow	http	error	http-403, authorization, multiuser, rest-api
Not an image	http	warning	http-415, content-type, upload, thumbnail
Failed to read image	http	warning	http-415, image-parsing, pillow, upload
str(e)	http	error	http-500, thumbnail, storage, server-error
Unsupported control_lllite type: {type(control_lllite)}	exception	error	python, type-error, controlnet, anima, internal-validation
The Anima ControlNet-LLLite model '{lllite_field.control_mod	exception	error	python, controlnet, anima, validation, duplicate-model
This Anima ControlNet-LLLite adapter is an inpainting adapte	exception	error	python, controlnet, anima, mask, validation
Unsupported Anima ControlNet-LLLite adapter: expected 3 or 4	exception	error	python, controlnet, anima, model-compatibility, validation
denoising_start ({self.denoising_start}) must be less than d	exception	error	validation, denoising, invokeai
denoising_start should be 0 when initial latents are not pro	exception	error	validation, denoising, latents
Initial latents are required when using an inpaint mask (ima	exception	error	validation, inpainting, latents
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	lora, type-error, model-loading
Expected AutoencoderKLWan or FluxAutoEncoder for Anima VAE,	exception	error	vae, type-error, model-loading
Expected AutoencoderKLWan or FluxAutoEncoder, got {type(vae)	exception	error	vae, type-error, device-management
Expected AutoencoderKLWan or FluxAutoEncoder for Anima VAE,	exception	error	vae, type-error, decode
Expected AutoencoderKLWan or FluxAutoEncoder, got {type(vae)	exception	error	vae, type-error, device-management
Unknown lora: {lora_key}!	exception	error	lora, model-not-found, invoke
LoRA "{lora_key}" already applied to transformer.	exception	error	lora, duplicate, invokeai, validation
LoRA "{lora_key}" already applied to Qwen3 encoder.	exception	error	lora, duplicate, qwen3, invokeai
Unknown lora: {lora.lora.key}!	exception	error	lora, missing-model, invokeai, model-manager
LoRA '{lora.lora.key}' is for {lora.lora.base.value if lora.	exception	error	lora, model-compatibility, invokeai, base-model-type
Expected PreTrainedModel for text encoder, got {type(text_en	exception	error	type-mismatch, text-encoder, qwen3, invokeai
Expected PreTrainedTokenizerBase for tokenizer, got {type(to	exception	error	type-mismatch, tokenizer, qwen3, invokeai
Tokenizer returned unexpected types.	exception	error	tokenizer, type-mismatch, pytorch, invokeai
Text encoder did not return hidden_states.	exception	error	text-encoder, hidden-states, transformers, invokeai
Expected at least 1 hidden state, got {len(outputs.hidden_st	exception	error	text-encoder, hidden-states, transformers, invokeai
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	lora, model-patch, type-mismatch, invokeai
RequiredConnectionException	validation	error	invocation-graph, missing-edge, input-validation
MissingInputException	validation	error	invocation-graph, missing-input, input-validation
NotExecutableNodeError	exception	error	non-executable-node, batch, misuse
Latents to blend must be the same size.	exception	error	tensor-shape-mismatch, latents, stable-diffusion
'${field_name}' is not a call_saved_workflow dynamic input f	exception	error	valueerror, workflow, field-naming
Invalid call_saved_workflow dynamic input field '${field_nam	exception	error	valueerror, workflow, field-naming
A saved workflow must be selected before executing call_save	validation	error	validation, workflow, invokeai
The selected saved workflow '${self.workflow_id}' could not	exception	error	validation, workflow, not-found, invokeai
The selected saved workflow '${self.workflow_id}' is not acc	exception	error	permissions, multiuser, workflow, invokeai
Invalid CFG scale type: ${type(self.cfg_scale)}	exception	error	validation, types, denoise, cogview4
denoising_start should be 0 when initial latents are not pro	exception	error	validation, denoise, img2img, cogview4
stop must be greater than start	validation	error	validation, pydantic, collections
Blend is not supported here - you need to get tokens for eac	exception	error	prompt, tokenizer, compel, unsupported-operation
The subject image has zero height or width	exception	error	images, validation, composition
Unable to load pixels from subject image	exception	error	images, pil, composition, pixel-access
Invalid mode selected	exception	error	python, valueerror, image-processing, invalid-enum
cfg_scale must be greater than 1	validation	error	python, pydantic, validation, cfg, stable-diffusion
Unexpected control_input type: ${type(control_input)}	exception	error	python, valueerror, typeerror, controlnet
Unexpected T2I-Adapter base model type: '${t2i_adapter_model	exception	error	python, valueerror, t2i-adapter, model-config, stable-diffusion
'latents' or 'noise' must be provided!	exception	error	python, valueerror, latents, missing-input, stable-diffusion
Incompatible 'noise' and 'latents' shapes: ${latents.shape=}	exception	error	python, valueerror, shape-mismatch, latents, stable-diffusion
Negative conditioning is required when guidance_scale > 1.0	exception	error	python, valueerror, cfg, missing-input, ernie, diffusion
denoising_start must be 0 when no initial latents are provid	exception	error	python, valueerror, denoising, latents, ernie, diffusion
Selected model provider '{model_config.provider_id}' does no	exception	error	validation, model-config, invokeai
Face IDs must be a comma-separated list of integers (e.g. "1	validation	error	pydantic, validation, input-format
denoising_start should be 0 when initial latents are not pro	exception	error	validation, diffusion, latents
LoRA '{lora_config.name}' is a {lora_variant.value} LoRA and	exception	error	validation, lora, flux2, model-variant
Unknown lora: {lora_key}!	exception	error	model-manager, lora, missing-model
LoRA "{lora_key}" already applied to transformer.	exception	error	lora, duplicate, validation
LoRA "{lora_key}" already applied to Mistral encoder.	exception	error	lora, duplicate, mistral-encoder
Unknown lora: {lora.lora.key}!	exception	error	model-manager, lora, missing-model
LoRA '{lora.lora.key}' is for {lora.lora.base.value if lora.	exception	error	lora, flux2, base-model-mismatch, validation
FLUX.2 [dev] loader requires a FLUX.2 [dev] transformer, but	exception	error	model-variant, flux2, validation, model-loader
No VAE source provided. Single-file / GGUF transformers requ	exception	error	invokeai, model-loader, missing-input, flux2
No Mistral encoder source provided. Single-file / GGUF trans	exception	error	invokeai, model-loader, text-encoder, missing-input, flux2
The {model_name} model must be a Diffusers format model. The	exception	error	invokeai, model-format, diffusers, validation, flux2
The {model_name} model must be a FLUX.2 [dev] pipeline, but	exception	error	invokeai, model-variant, validation, flux2, text-encoder
Expected PreTrainedModel for text encoder, got {type(text_en	exception	error	invokeai, type-mismatch, text-encoder, corrupted-model, flux2
Mistral encoder did not return hidden_states. Ensure output_	exception	error	invokeai, runtime-error, text-encoder, transformers, flux2
Mistral encoder returned only {num_layers} hidden layer(s),	exception	error	invokeai, model-architecture, text-encoder, layer-count, flux2
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	invokeai, lora, type-mismatch, corrupted-model, flux2
LoRA '{lora_config.name}' is a FLUX.2 [dev] LoRA and cannot	exception	error	invokeai, lora, variant-mismatch, validation, flux2
Unknown lora: {lora_key}!	exception	error	invokeai, lora, model-not-found, stale-reference, flux2
LoRA "{lora_key}" already applied to transformer.	exception	error	lora, duplicate, flux2-klein, invokeai
LoRA "{lora_key}" already applied to Qwen3 encoder.	exception	error	lora, duplicate, qwen3-encoder, invokeai
Unknown lora: {lora.lora.key}!	exception	error	model-not-found, lora, invokeai
LoRA '{lora.lora.key}' is for {lora.lora.base.value if lora.	exception	error	lora, base-model-mismatch, flux2-klein, invokeai
No VAE source provided. Standalone safetensors/GGUF models r	exception	error	vae, missing-input, flux2-klein, invokeai
No Qwen3 Encoder source provided. Standalone safetensors/GGU	exception	error	text-encoder, missing-input, qwen3, invokeai
The {model_name} model must be a Diffusers-style FLUX.2 pipe	exception	error	model-format, diffusers, validation, invokeai
The {model_name} model must be a FLUX.2 Klein pipeline, but	exception	error	variant-mismatch, qwen3, flux2-klein, invokeai
Qwen3 encoder variant mismatch: FLUX.2 Klein {main_config.va	exception	error	variant-mismatch, qwen3, model-size, invokeai
Qwen3 encoder variant mismatch: FLUX.2 Klein {main_config.va	exception	error	variant-mismatch, qwen3, text-encoder, invokeai
Expected PreTrainedModel for text encoder, got {type(text_en	exception	error	model-loading, type-check, transformers
Expected PreTrainedTokenizerBase for tokenizer, got {type(to	exception	error	tokenizer, model-loading, type-check
Text encoder did not return hidden_states. Ensure output_hid	exception	error	transformers, model-output, text-encoder
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	lora, model-loading, type-check
FLUX.2 PiD decode expected a 32-channel latent from flux2_de	exception	error	latent, shape-mismatch, pipeline
Expected PreTrainedModel for Gemma encoder, got {type(gemma_	exception	error	model-loading, type-check, transformers
Expected PreTrainedTokenizerBase for Gemma tokenizer, got {t	exception	error	tokenizer, model-loading, type-check
Expected PidNet for PiD decoder, got {type(pid_net).__name__	exception	error	model-loading, type-check, pidnet
Unknown lora: {self.lora.key}!	exception	error	lora, model-not-found, workflow
denoising_start should be 0 when initial latents are not pro	validation	error	denoising, validation, txt2img
Control LoRAs cannot be used with FLUX Schnell	validation	error	flux, schnell, control-lora, invalid-combination
fill_conditioning was provided, but the model is not a FLUX	validation	error	flux, flux-fill, inpainting, invalid-combination
A VAE (e.g., controlnet_vae) must be provided to use Kontext	validation	error	flux, kontext, vae, missing-input
Unsupported model format: {config.format}	exception	error	flux, model-format, quantization, unsupported
Unsupported cfg_scale type: {type(cfg_scale)}	exception	error	cfg-scale, type-error, flux, validation
Invalid cfg_scale_start_step. Out of range: {cfg_scale_start	validation	error	cfg-scale, range-error, flux, validation
Invalid cfg_scale_end_step. Out of range: {cfg_scale_end_ste	validation	error	cfg-scale, range-error, flux, validation
cfg_scale_start_step ({cfg_scale_start_step}) must be before	validation	error	cfg-scale, range-error, flux, validation
Unsupported controlnet type: {type(self.control)}	exception	error	controlnet, type-error, flux, field-type
A ControlNet VAE is required when using an InstantX FLUX Con	validation	error	controlnet, instantx, vae, missing-input
Unsupported IP-Adapter type: {type(self.ip_adapter)}	exception	error	python, valueerror, flux, ip-adapter, type-mismatch
Unsupported IP-Adapter image type: {type(ip_adapter_field.im	exception	error	python, valueerror, flux, ip-adapter, image-field
FLUX IP-Adapter only supports a single image prompt (receive	validation	error	python, valueerror, flux, ip-adapter, constraint
IP-Adapter masks are not yet supported in Flux.	validation	error	python, valueerror, flux, ip-adapter, unsupported-feature
Unknown lora: {lora_key}!	exception	error	python, valueerror, lora, model-not-found, flux
LoRA "{lora_key}" already applied to transformer.	validation	error	lora, duplicate-model, flux, invokeai
LoRA "{lora_key}" already applied to CLIP encoder.	validation	error	lora, duplicate-model, clip, flux, invokeai
LoRA "{lora_key}" already applied to T5 encoder.	validation	error	lora, duplicate-model, t5, flux, invokeai
Unknown lora: {lora.lora.key}!	exception	error	lora, missing-model, model-registry, flux, invokeai
LoRA '{lora.lora.key}' is for {lora.lora.base.value if lora.	validation	error	lora, model-compatibility, flux, wrong-architecture, invokeai
Unknown model: {key}	exception	error	missing-model, model-loader, flux, invokeai
The selected FLUX model does not ship its own {', '.join(mis	validation	error	missing-model, flux, sdnq, model-loader, invokeai
Expected PreTrainedModel for Gemma encoder, got {type(gemma_	exception	error	type-error, gemma, text-encoder, flux, invokeai
Expected PreTrainedTokenizerBase for Gemma tokenizer, got {t	exception	error	type-error, gemma, tokenizer, flux, invokeai
Expected PidNet for PiD decoder, got {type(pid_net).__name__	exception	error	type-error, pidnet, decoder, flux, invokeai
Unsupported IP-Adapter base type: '{ip_adapter_info.base}'.	exception	error	ip-adapter, model-config, invokeai, unsupported-model
Unexpected IP-Adapter method: '{self.method}'.	exception	error	ip-adapter, workflow, invokeai, invalid-enum-value
per_layer_weights must be comma-separated numbers: {e}	validation	error	validation, parsing, invokeai, krea2
per_layer_weights must have exactly {_NUM_TEXT_LAYERS} value	validation	error	validation, invokeai, krea2, arity-mismatch
per_layer_weights must contain only finite values.	validation	error	validation, invokeai, krea2, nan
cfg_scale values must be finite.	validation	error	validation, pydantic, invokeai, krea2, cfg-scale
shift must be finite.	validation	error	validation, pydantic, invokeai, krea2, shift
At least one Krea-2 conditioning is required.	exception	error	invokeai, krea2, validation, missing-input
Krea-2 conditioning mask shape {tuple(mask.shape)} does not	exception	error	invokeai, krea2, shape-mismatch, validation
All Krea-2 conditioning batch items must have the same valid	exception	error	invokeai, krea2, batch, shape-mismatch
cfg_scale list has {len(self.cfg_scale)} values but the mode	exception	error	invokeai, krea2, cfg, validation
Invalid CFG scale type: {type(self.cfg_scale)}	exception	error	invokeai, krea2, type-error, cfg
The requested denoising range does not contain any effective	exception	error	invokeai, krea2, denoising-range, validation
denoising_start must be less than denoising_end.	exception	error	invokeai, krea2, denoising-range, validation
Initial latents are required when a denoise mask is provided	exception	error	invokeai, krea2, missing-input, inpainting
denoising_start should be 0 when initial latents are not pro	exception	error	invokeai, krea2, denoising-range, validation
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	invokeai, krea2, lora, type-error
Unknown lora: {lora_key}!	exception	error	model-manager, lora, valueerror, missing-model
LoRA '{lora_key}' is for {stored_config.base.value if stored	exception	error	lora, model-compatibility, base-model-mismatch, valueerror
LoRA '{lora_key}' has conflicting weights on the transformer	exception	error	lora, conflicting-weights, graph-validation, valueerror
Unknown lora: {lora.lora.key}!	exception	error	model-manager, lora, missing-model, valueerror
LoRA '{lora.lora.key}' is for {stored_config.base.value if s	exception	error	lora, model-compatibility, base-model-mismatch, valueerror
LoRA '{lora.lora.key}' has conflicting weights on the transf	exception	error	lora, invokeai, model-loading, configuration
Model '{main_config.name}' is not a Krea-2 main model. Selec	exception	error	invokeai, model-loading, model-type, configuration
VAE '{vae_config.name}' is not compatible with Krea-2. Selec	exception	error	invokeai, model-loading, vae, compatibility
Encoder '{encoder_config.name}' is not a Qwen3-VL encoder co	exception	error	invokeai, model-loading, text-encoder, model-type
To extract the VAE and Qwen3-VL encoder, the {model_name} mo	exception	error	invokeai, model-format, diffusers, model-loading
Qwen3-VL encoder did not return hidden_states; cannot build	exception	critical	runtime-error, text-encoder, transformers, model-compatibility
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	type-error, lora, model-manager, configuration
{noise_type} noise width and height must be a multiple of {m	exception	error	validation, dimensions, noise, configuration
Unsupported noise type: {noise_type}	exception	error	validation, unsupported-value, noise, configuration
Expected noise with shape {expected_shape}, got {tuple(noise	exception	error	validation, shape-mismatch, noise, tensor
Cannot divide by zero	validation	error	invokeai, pydantic, validation, division-by-zero
Qwen-Image PiD decode expected a single temporal frame, got	validation	error	invokeai, qwen-image, vae, latent-shape, valueerror
Qwen-Image PiD decode expected a 16-channel latent, got shap	validation	error	invokeai, qwen-image, vae, latent-shape, valueerror
Unknown model: {model_key}	exception	error	model-loading, sdxl, invalid-model-key
Expected PreTrainedModel for Gemma encoder, got {type(gemma_	exception	error	type-check, huggingface, pid-decode
Expected PreTrainedTokenizerBase for Gemma tokenizer, got {t	exception	error	type-check, tokenizer, huggingface
Expected PidNet for PiD decoder, got {type(pid_net).__name__	exception	error	type-check, pid-decode, model-loading
If both point_lists and bounding_boxes are provided, they mu	validation	error	validation, pydantic, segment-anything
Invalid mask filter: {self.mask_filter}	validation	error	validation, enum, segment-anything
The selected system prompt '{system_prompt_id}' could not be	validation	error	lookup, system-prompt, llm
The selected system prompt '{system_prompt_id}' is not acces	validation	error	permissions, multiuser, llm
cfg_scale must be greater than 1	validation	error	validation, pydantic, cfg-scale
Unsupported blend mode: '{self.blend_mode}'.	validation	error	validation, invokeai, enum
Invalid RealESRGAN model: {self.model_name}	validation	error	validation, invokeai, upscale
Control weights must be within -1 to 2 range	validation	error	validation, invokeai, controlnet
Begin step percent must be less than or equal to end step pe	validation	error	validation, invokeai, scheduling
video_concat requires at least two input videos.	validation	error	validation, invokeai, video
All inputs must share the same dimensions. Got: {sorted(widt	validation	error	validation, video, dimensions
Input videos are {width}x{height}; H.264 encoding requires e	validation	error	video, encoding, h264
Concatenation produced zero output frames.	validation	error	video, encoding, empty-output
Input videos have different frame rates; set Output FPS to r	validation	error	video, framerate, invokeai
The requested transition needs an estimated {estimated_mib:.	validation	error	memory, video, validation
Input video {i} ({self.videos[i].video_name}) decoded to zer	validation	error	video, decoding, input-validation
Clip {i} has {n_frames} frames but the requested transitions	validation	error	video, validation, frame-count
Cannot resolve negative frame index for video {self.video.vi	validation	error	video, negative-index, probe
Video {self.video.video_name} has no decodable frames (probe	validation	error	video, decoding, frame-count
frame_index {self.frame_index} is out of range for a {n_fram	validation	error	video, index-out-of-range, validation
Failed to extract frame {index} from {self.video.video_name}	validation	error	video, decoding, frame-extraction
Video {video_name} is {width}x{height}; H.264 encoding requi	validation	error	video, encoding, h264, validation
Cannot determine frame count for {self.video.video_name}: pr	validation	error	video, probe, frame-count
Video {self.video.video_name} has no decodable frames (probe	validation	error	video, decoding, frame-count
end_frame ({self.end_frame} → {end}) must be >= start_frame	validation	error	validation, video, range
Decoded only {num_frames} of {expected_frames} requested fra	validation	error	video, decode, metadata
{field_name}={value} is out of range for a {n_frames}-frame	validation	error	validation, video, index-out-of-range
Could not determine Wan variant from model {config.name!r}:	validation	error	model-config, wan, configuration
TI2V-5B requires width and height to be multiples of 32 (got	validation	error	validation, wan, dimensions
Wan reference condition must be a 5D tensor; got shape {tupl	validation	error	wan, tensor-shape, validation
Wan reference condition requires batch size 1; got {conditio	validation	error	wan, tensor-shape, batch-size
Wan reference condition requires {channels} channels; got {c	validation	error	wan, tensor-shape, channels
Wan reference condition requires {expected}; got {condition.	validation	error	wan, tensor-shape, temporal
Wan reference condition requires {width}x{height} latent spa	validation	error	wan, tensor-shape, spatial-dimensions
Wan image denoise expects initial latent dimensions {expecte	validation	error	invokeai, wan, shape-mismatch, latent-dimensions
denoising_start should be 0 when initial latents are not pro	validation	error	invokeai, wan, invalid-configuration, img2img
Initial latents are required when using an inpaint mask (img	validation	error	invokeai, wan, inpainting, missing-input
Source dimensions must be positive.	validation	error	invokeai, wan, invalid-input, dimensions
Source longer side ({long_side}px) is smaller than the Wan p	validation	error	invokeai, wan, dimensions, validation
Expected AutoencoderKLWan for Wan VAE, got {type(vae_info.mo	exception	error	invokeai, wan, type-error, vae, wrong-model
Wan latents-to-image expects a 4D or 5D latent tensor [B, C,	validation	error	invokeai, wan, shape-mismatch, tensor-rank
Wan latents-to-image requires batch size 1; got {latents.sha	validation	error	invokeai, wan, batch-size, validation
These latents hold {latents.shape[2]} frames of video; this	validation	error	invokeai, wan, video-latents, wrong-node
Expected AutoencoderKLWan for Wan VAE, got {type(vae_info.mo	exception	error	invokeai, wan, type-error, vae, wrong-model
Latent channel mismatch: these latents have {latents.shape[1	validation	error	wan, vae, shape-mismatch, latent-channels
Wan latents-to-video requires batch size 1; got {latents.sha	validation	error	wan, batch-size, validation, video
Wan latents-to-video expects a 5D latent tensor [B, C, T, H,	validation	error	wan, tensor-shape, validation, video
Wan latents-to-video requires non-empty temporal and spatial	validation	error	wan, empty-tensor, validation, video
Expected AutoencoderKLWan for Wan VAE, got {type(vae_info.mo	validation	error	wan, vae, type-mismatch, model-loading
Latent channel mismatch: these latents have {latents.shape[1	validation	error	wan, vae, shape-mismatch, latent-channels
Wan VAE decode produced zero frames.	validation	error	wan, vae-decode, empty-output, video
Wan VAE decode produced {num_frames} frames; expected {t_pix	validation	error	wan, frame-count, vae-decode, video
Model '{lora_key}' is not a Wan LoRA (resolved to type={geta	validation	error	wan, lora, model-config, validation
LoRA '{lora_key}' targets Wan {lora_variant.value.upper()} m	validation	error	wan, lora, variant-mismatch, model-config
Unknown lora: {lora_key}!	validation	error	invokeai, lora, model-manager, missing-model
LoRA "{lora_key}" already applied to primary transformer lis	validation	error	invokeai, lora, duplicate, workflow
LoRA "{lora_key}" already applied to low-noise transformer l	validation	error	invokeai, lora, duplicate, low-noise
The same model is wired to both 'Transformer' and 'Transform	validation	error	invokeai, wan, model-loader, configuration, a14b
'Transformer (Low Noise)' must be a single-file Wan model (G	validation	error	invokeai, wan, model-loader, model-format, a14b
The high-noise and low-noise models must use the same Wan va	validation	error	invokeai, wan, model-loader, variant-mismatch, a14b
Both selected models are tagged as the {primary_expert}-nois	validation	error	invokeai, wan, model-loader, expert-tag, a14b
Unsupported main model format for Wan: {main_format.value}.	validation	error	model-loader, unsupported-format, wan, validation
No source for VAE. Either set 'VAE' to a standalone Wan VAE,	validation	error	model-loader, missing-model, wan, vae
The Wan T5 Encoder must resolve to a standalone Wan T5 encod	validation	error	model-loader, wrong-model-type, wan, t5-encoder
No source for Wan T5 encoder. Either set 'Wan T5 Encoder' to	validation	error	model-loader, missing-model, wan, t5-encoder
The {label} model must resolve to a Wan main model.	validation	error	model-loader, wrong-model-type, wan, validation
The Component Source model must resolve to a Wan main model.	validation	error	model-loader, wrong-model-type, wan, validation
The Component Source model must be in Diffusers format. The	validation	error	model-loader, unsupported-format, wan, diffusers
The Component Source VAE is incompatible with the selected t	validation	error	model-loader, incompatible-models, wan, vae, variant-mismatch
The VAE must resolve to a standalone Wan VAE model.	validation	error	model-loader, wrong-model-type, wan, vae
The standalone VAE is incompatible with the selected transfo	validation	error	model-loader, incompatible-models, wan, vae, channel-mismatch
num_frames must satisfy (num_frames - 1) %% 4 == 0 for the W	validation	error	validation, video, num-frames, wan
Reference-image encoder requires AutoencoderKLWan, got {type	validation	error	type-error, vae, wan, model-mismatch
End-image (FLF2V) interpolation is only supported for I2V-A1	validation	error	validation, flf2v, wan, unsupported-combination
TI2V-5B I2V requires width and height to be multiples of 32	validation	error	validation, resolution, ti2v-5b, wan
num_frames must satisfy (num_frames - 1) %% 4 == 0 for the W	validation	error	validation, video, num-frames, wan
Reference-image conditioning is only supported by Wan 2.2 I2	validation	error	validation, reference-image, variant-mismatch, wan
Reference-image dimensions ({self.ref_image.width}x{self.ref	validation	error	validation, dimension-mismatch, reference-image, wan
Reference-image num_frames ({self.ref_image.num_frames}) mus	validation	error	validation, num-frames, reference-image, wan
Workflow return key must not be empty.	validation	error	validation, workflow, empty-string
Duplicate workflow return key '{key}'.	validation	error	workflow, validation, duplicate-key
Workflow return key '{key}' was not found.	validation	error	workflow, key-lookup, validation
denoising_start should be 0 when initial latents are not pro	exception	error	diffusion, validation, img2img
Initial latents are required when using an inpaint mask (ima	exception	error	inpainting, diffusion, validation
Unsupported Z-Image model format: {transformer_config.format	exception	error	model-format, z-image, unsupported
VAE is required when using Z-Image Control. Connect a VAE to	exception	error	controlnet, vae, missing-connection
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	lora, type-error, model-compatibility
Expected AutoencoderKL or FluxAutoEncoder for Z-Image VAE, g	exception	error	vae, type-error, model-compatibility
Expected AutoencoderKL or FluxAutoEncoder, got {type(vae).__	exception	error	vae, type-error, model-loading, race-condition
Expected AutoencoderKL or FluxAutoEncoder for Z-Image VAE, g	exception	error	vae, model-type, typeerror, z-image, decode
Expected AutoencoderKL or FluxAutoEncoder, got {type(vae).__	exception	error	vae, race-condition, model-cache, typeerror, z-image
Unknown lora: {lora_key}!	exception	error	lora, model-not-found, z-image, validation
LoRA "{lora_key}" already applied to transformer.	exception	error	lora, duplicate, z-image, graph
LoRA "{lora_key}" already applied to Qwen3 encoder.	exception	error	lora, duplicate, qwen3, z-image
Unknown lora: {lora.lora.key}!	exception	error	lora, model-not-found, z-image, stale-reference
LoRA '{lora.lora.key}' is for {lora.lora.base.value if lora.	exception	error	lora, base-model-mismatch, z-image, compatibility
No VAE source provided. Either set 'VAE' to a FLUX VAE model	exception	error	model-loader, missing-input, vae, z-image
No Qwen3 Encoder source provided. Either set 'Qwen3 Encoder'	exception	error	model-loader, missing-input, qwen3, text-encoder, z-image
The {model_name} model must be a Diffusers-style Z-Image pip	exception	error	model-format, diffusers, z-image, model-loader
Expected PreTrainedModel for Gemma encoder, got {type(gemma_	exception	error	type-check, transformers, gemma, z-image
Expected PreTrainedTokenizerBase for Gemma tokenizer, got {t	exception	error	type-check, tokenizer, gemma, z-image
Expected PidNet for PiD decoder, got {type(pid_net).__name__	exception	error	type-check, pidnet, decoder, z-image
Expected PreTrainedModel for text encoder, got {type(text_en	exception	error	type-check, qwen3, text-encoder, z-image
Expected PreTrainedTokenizerBase for tokenizer, got {type(to	exception	error	type-check, tokenizer, qwen3, z-image
Expected torch.Tensor for input_ids, got {type(text_input_id	exception	error	type-check, tokenizer, torch, z-image
Expected torch.Tensor for attention_mask, got {type(attentio	exception	error	type-check, tokenizer, attention-mask, z-image
Text encoder did not return hidden_states. Ensure output_hid	exception	error	hidden-states, qwen3, text-encoder, runtime-error
Expected at least 2 hidden states from text encoder, got {le	exception	error	hidden-states, qwen3, model-config, runtime-error
Expected torch.Tensor for prompt embeddings, got {type(promp	exception	error	python, type-error, torch, text-encoder
Expected ModelPatchRaw for LoRA '{lora.lora.key}', got {type	exception	error	python, type-error, lora, model-loading
JWT secret not found in database. This should have been crea	exception	critical	runtime-error, jwt, database, migration
JWT secret has not been initialized. Call set_jwt_secret() d	exception	critical	runtime-error, jwt, initialization, auth
Invalid regex: {e}	validation	error	config, validation, regex, pydantic
Invalid generation_devices value '{v}'. Use 'auto' or a list	validation	error	config, validation, pydantic, devices
generation_devices cannot be an empty list. Use 'auto' or a	validation	error	config, validation, pydantic, devices
base_url must not start with reserved path segment '/{first_	validation	error	config, validation, pydantic, routing
Failed to load and migrate v3 config file {config_path}: {e}	exception	error	config, migration, runtime-error, pydantic
Failed to load config file {config_path}: {e}	exception	critical	config, yaml, pydantic, startup
Failed to load api keys file {api_keys_file_path}: expected	exception	error	config, yaml, api-keys
Failed to load api keys file {api_keys_file_path}: value for	exception	error	config, yaml, type-error, api-keys
Attempt to start the download service twice	exception	error	lifecycle, double-start, download, threads
The download service is not currently accepting requests. Pl	exception	error	lifecycle, download, service-inactive
only relative download paths accepted	validation	error	security, path-traversal, download
Unrecognized job	exception	warning	download, job-lookup, stale-id
Timeout exceeded	exception	warning	timeout, download, polling
Job was cancelled before start	exception	info	download, cancellation, worker, queue
Resume refused by server. Restart required.	exception	warning	network, http-range, download-resume, http-416
{reason}	http	error	network, http, download, http-client
Cannot derive a safe filename for {url} from '{file_name}'	validation	error	validation, path-traversal, security, download
Free disk space {free_space / GB:.2f} GB is not enough for d	exception	error	filesystem, disk-space, download, resource-exhaustion
[Errno 17] File {job.download_path} exists	exception	error	filesystem, file-exists, download, oserror
Job was cancelled at caller's request	exception	info	download, cancellation, control-flow, resume
Download interrupted. Resume required.	exception	error	network, download, resume, interrupted-transfer
No external provider registered for '{request.model.provider	exception	error	configuration, provider-registry, external-generation
Provider '{request.model.provider_id}' is missing credential	exception	error	configuration, credentials, missing-env-var, external-generation
Rate limit exceeded after all retries	exception	error	rate-limit, retry, external-api, throttling
Mode '{request.mode}' is not supported by {request.model.nam	exception	error	validation, capability-mismatch, external-generation
Reference images are not supported by {request.model.name}	exception	error	validation, capability-mismatch, reference-images
{request.model.name} supports at most {capabilities.max_refe	exception	error	validation, capability-mismatch, reference-images, limits
{request.model.name} supports at most {capabilities.max_imag	exception	error	validation, capability-mismatch, limits, batch
{request.model.name} supports a maximum size of {capabilitie	exception	error	validation, capability-mismatch, image-size, limits
{request.model.name} does not support aspect ratio {ratio_la	exception	error	validation, capability-mismatch, aspect-ratio, image-size
Mode '{request.mode}' requires an init image for {request.mo	exception	error	validation, request-validation, image-input, external-provider
Mode '{request.mode}' requires a mask image for {request.mod	exception	error	validation, request-validation, inpainting, mask-image
Alibaba Cloud DashScope API key is not configured	exception	error	configuration, api-key, missing-env-var, dashscope, alibabacloud
Unknown DashScope model_id '{model_id}'. Add it to _SYNC_MOD	exception	error	configuration, model-not-supported, dashscope, alibabacloud, whitelist
DashScope request failed with status {response.status_code}	exception	error	network, http-error, dashscope, alibabacloud, api-response
DashScope async request failed with status {response.status_	exception	error	network, http-error, dashscope, alibabacloud, async
DashScope async response missing task_id: {data}	exception	error	schema, api-contract, dashscope, alibabacloud, async, response-parsing
DashScope task {task_id} timed out after {_TASK_POLL_TIMEOUT	exception	error	timeout, polling, dashscope, alibabacloud, async
DashScope task poll failed with status {response.status_code	exception	error	network, http-error, polling, dashscope, alibabacloud
DashScope task {task_id} failed: {message}	exception	error	remote-task-failure, dashscope, alibabacloud, async, content-policy
DashScope response missing output: {data}	exception	error	dashscope, api-response, schema-mismatch, external-provider
DashScope response missing choices: {data}	exception	error	dashscope, api-response, schema-mismatch, content-moderation
DashScope response contained no images: {data}	exception	error	dashscope, empty-response, content-filter, image-generation
DashScope async response missing results: {output}	exception	error	dashscope, async-task, schema-mismatch, polling
DashScope async response contained no images: {output}	exception	error	dashscope, async-task, empty-response, schema-mismatch
Failed to download image from DashScope: {exc}	exception	error	network, http, image-download, timeout
Failed to download image from DashScope (status {response.st	exception	error	http, image-download, expired-url, forbidden
DashScope image exceeds {_DOWNLOAD_MAX_BYTES} byte cap (Cont	exception	error	image-download, size-limit, content-length, safety-cap
DashScope image exceeds {_DOWNLOAD_MAX_BYTES} byte cap	exception	error	image-download, size-limit, streaming, safety-cap
{label} network error: {exc}	exception	error	network, retry, timeout, http, dashscope
{label} failed after retries: {last_exc}	exception	error	network, retry-exhausted, external-api, http
Gemini API key is not configured	exception	error	configuration, missing-credentials, api-key, gemini
Gemini rate limit exceeded. {f'Retry after {retry_after:.0f}	exception	warning	rate-limit, http-429, gemini, retry-after, quota
Gemini request failed with status {response.status_code} for	exception	error	http-error, gemini, api-key, external-api, authentication
Gemini response payload was not a JSON object	exception	error	json, response-shape, gemini, proxy, schema
Gemini response payload missing candidates	exception	error	gemini, response-shape, safety-filter, empty-response
Gemini returned fileUri instead of inline image data: {file_	exception	error	gemini, files-api, response-shape, image-data, unsupported-feature
Gemini response contained no images.{detail}	exception	error	gemini, empty-response, safety-filter, text-only-response
OpenAI API key is not configured	exception	error	configuration, missing-credentials, api-key, openai
OpenAI image edits require at least one image (init image or	exception	error	validation, openai, image-edit, missing-input, bad-request
Seedream response payload missing image data	exception	error	external-provider, api-contract, image-generation, response-validation
Seedream returned no images. Provider reported: {message or	exception	error	external-provider, content-filter, image-generation, empty-result
Seedream response contained no images	exception	error	external-provider, image-generation, empty-result, api-contract
ImageFileNotFoundException	exception	error	file-not-found, storage, image-files, disk
ImageFileSaveException	exception	error	storage, disk-io, image-files, save-failed
ImageFileDeleteException	exception	error	storage, file-delete, image-files, two-phase-delete
Invalid staged-delete token	exception	error	type-error, api-misuse, image-files, two-phase-delete
Invalid image name, potential directory traversal detected	validation	error	security, path-traversal, validation
Image path outside outputs folder, potential directory trave	validation	error	security, path-traversal, filesystem
Backslashes not allowed in subfolder path	validation	error	validation, path, windows
Absolute paths not allowed in subfolder path	validation	error	validation, path, absolute-path
Parent directory references not allowed in subfolder path	validation	critical	security, path-traversal, validation
Empty path segments not allowed in subfolder path	validation	warning	validation, path, normalization
Unknown subfolder strategy: {strategy_name}. Valid options:	validation	error	configuration, validation, factory
Cannot start image move while queue work is active	exception	error	concurrency, queue, state-conflict
An image move job is already running	exception	error	concurrency, background-job, state-conflict
An image move job is already active	exception	error	concurrency, journal, recovery, state-conflict
Cannot create an image move job with no items	validation	error	validation, image-move, empty-input
Cannot create image move job while another active image move	validation	error	concurrency, image-move, job-state
Source image does not exist: {move.old_path}	exception	error	filesystem, file-not-found, image-move, preflight
Destination image already exists: {move.new_path}	exception	error	filesystem, file-exists, image-move, preflight
Old and new paths are identical for {move.image_name}	validation	error	validation, image-move, preflight, path-resolution
Duplicate destination path: {move.new_path}	validation	error	validation, image-move, duplicate, preflight
Duplicate destination thumbnail path: {move.new_thumbnail_pa	validation	error	validation, image-move, thumbnail, duplicate
Image {move.image_name} already has an active image move job	validation	error	concurrency, image-move, job-state, preflight
Destination thumbnail already exists: {move.new_thumbnail_pa	exception	error	filesystem, file-exists, thumbnail, image-move
Image move job {job_id} has no items	exception	error	image-move, job-state, database, runtime
Both old and new image files exist for {item.image_name}	exception	error	filesystem, image-move, duplicate-file, runtime
Neither old nor new image file exists for {item.image_name}	exception	error	filesystem, image-move, missing-file, runtime
Image move job {job_id} failed commit validation	exception	error	database, image-move, consistency, sqlite
Image move job not found: {job_id}	validation	error	database, image-move, not-found, valueerror
Unknown image subfolder strategy: {strategy}	validation	error	configuration, image-move, validation, valueerror
Unable to decode image {image_path}: {e}	exception	error	image-processing, pillow, corrupt-file, thumbnail
Cross-filesystem image move is not supported: {source} -> {d	validation	error	filesystem, image-move, mount, configuration
No existing parent found for {path}	exception	error	filesystem, path, not-found, configuration
ImageRecordNotFoundException	exception	error	database, sqlite, not-found, image-records
No job with id {id} known	exception	error	api, state-management, valueerror
Timeout exceeded	exception	error	timeout, download, concurrency
Attempted migration of unsupported `models.yaml` v{yaml_vers	exception	critical	migration, config, startup
No files associated with {source}	exception	error	download, huggingface, model-source
Invalid external model source: '{source_stripped}'	exception	error	validation, parsing, valueerror
Unsupported model source: '{source}'	exception	error	validation, parsing, model-source
Model key '{key}' already exists. Provide a different key to	exception	error	duplicate, idempotency, api
{source}: No downloadable files found	exception	error	download, huggingface, validation
Unsupported model source: '{url}'	exception	error	model-install, huggingface, url-validation, value-error
The model at {checkpoint} is potentially infected by malware	exception	critical	security, malware, picklescan, model-load
Error scanning model at {checkpoint} for malware. Aborting l	exception	error	picklescan, malware-scan, corrupt-file, model-load
source_url must be a string	validation	error	pydantic, validation, type-error, model-records
source_url must be an http or https URL	validation	error	pydantic, validation, url-validation, model-records
More than one model matched the search criteria: base_model=	exception	error	duplicate-model, model-records, lookup-ambiguity
No model config class found for type={target_type!r}	validation	error	model-config, schema-mismatch, unknown-type, validation
A model with path '{config.path}' is already installed	exception	error	duplicate-model, unique-constraint, sqlite, model-records
model not found	exception	error	model-not-found, delete, idempotency, sqlite
key does not match new_config.key	validation	error	invokeai, model-manager, argument-mismatch, valueerror
Cannot relate a model to itself.	validation	warning	invokeai, model-relationships, valueerror, argument-mismatch
{name}	exception	error	invokeai, object-serializer, disk, file-not-found, torch
Multiple generation devices require DefaultSessionRunner; go	exception	error	invokeai, session-processor, multi-device, configuration, valueerror
call_saved_workflow child workflow is malformed	exception	error	invokeai, workflow, batch, schema-validation
call_saved_workflow does not yet support child workflows tha	exception	error	workflow, batch, unsupported-node, invokeai
Unsupported batch group id '{batch_group_id}' in called work	exception	error	workflow, batch, validation, invokeai
call_saved_workflow batch child workflow node inputs are mal	exception	error	workflow, batch, schema, invokeai
call_saved_workflow batch child workflow node is missing req	exception	error	workflow, batch, missing-input, invokeai
call_saved_workflow batch child workflow node '{node_data.ge	exception	error	workflow, batch, type-error, invokeai
Unsupported float generator type '{generator_type}'	exception	error	workflow, generator, unsupported-type, invokeai
Unsupported integer generator type '{generator_type}'	exception	error	workflow, generator, unsupported-type, invokeai
Unsupported string generator type '{generator_type}'	exception	error	workflow, generator, unsupported-type, invokeai
call_saved_workflow could not access board '{board_id}' for	exception	error	board, workflow, permissions, storage, invokeai
call_saved_workflow caller does not have access to board '{b	exception	error	board, workflow, permissions, authorization, invokeai
Unsupported image generator type '{generator_type}'	exception	error	workflow, validation, unsupported-feature
call_saved_workflow generator node is malformed	exception	error	workflow, schema-validation, malformed-json
call_saved_workflow generator node '{generator_node_data.get	exception	error	workflow, missing-input, schema-validation
call_saved_workflow generator node '{generator_node_data.get	exception	error	workflow, schema-validation, batch
call_saved_workflow exceeds remaining queue capacity for chi	exception	error	queue, capacity, batch
Unsupported generator node type '{node_type}'	exception	error	workflow, unsupported-feature, batch
call_saved_workflow does not yet support multiple connected	exception	error	workflow, graph-edges, unsupported-feature
call_saved_workflow does not yet support connected batch chi	exception	error	workflow, graph-edges, unsupported-feature
call_saved_workflow generator-backed batch child workflow is	exception	error	workflow, dangling-edge, batch
call_saved_workflow image-generator-backed batch child workf	exception	error	invokeai, batch, workflow-call, missing-dependency
call_saved_workflow generator-backed batch child workflow no	validation	error	invokeai, batch, workflow-call, empty-collection
call_saved_workflow batch child workflow node '{node_id}' mu	validation	error	invokeai, batch, workflow-call, validation
call_saved_workflow batch child workflow node '{node_id}' is	validation	error	invokeai, batch, workflow-call, graph-connectivity
call_saved_workflow batch child workflow contains no support	validation	error	invokeai, batch, workflow-call, unsupported-node
call_saved_workflow exceeds remaining queue capacity for chi	validation	error	invokeai, queue, workflow-call, capacity
Workflow call did not produce any child executions.	exception	error	invokeai, queue, workflow-call, invariant-violation
The selected saved workflow must contain exactly one workflo	validation	error	invokeai, workflow-call, graph-validation, missing-node
The selected saved workflow must not contain more than one w	validation	error	workflow, validation, graph
The selected saved workflow produced an unsupported number o	exception	error	workflow, session, runtime
The selected saved workflow did not produce a valid workflow	exception	error	workflow, session, runtime
Zipped batch items must all have the same length	validation	error	batch, validation, pydantic
All items in a batch must have the same type	validation	error	batch, validation, types
Each batch data must have unique node_id and field_name	validation	error	batch, validation, duplicate
Node {batch_data.node_path} not found in graph	validation	error	batch, graph, validation
Field {batch_data.field_name} not found in node {batch_data.	validation	error	batch, graph, validation
No queue item with id {item_id}	exception	error	queue, sqlite, not-found
call_saved_workflow exceeds remaining queue capacity for chi	validation	error	queue, capacity, limit-exceeded
Node ids must be unique, found duplicates {duplicate_node_id	validation	error	graph, duplicate-id, validation
Node ids must match, got {node_dict_id} and {node.id}	validation	error	graph, validation, invokeai, node-id
Edge source node {edge.source.node_id} does not exist in the	validation	error	graph, validation, invokeai, edges
Edge destination node {edge.destination.node_id} does not ex	validation	error	graph, validation, invokeai, edges
Edge source field {edge.source.field} does not exist in node	validation	error	graph, validation, invokeai, edges, fields
Edge destination field {edge.destination.field} does not exi	validation	error	graph, validation, invokeai, edges, fields
Graph contains cycles	validation	error	invokeai, graph-validation, cycle, dag
Edge source and target types do not match ({edge})	validation	error	invokeai, graph-validation, type-mismatch, edges
Invalid iterator node ({node.id}): {err}	validation	error	invokeai, graph-validation, iterator, collect
Invalid collector node ({node.id}): {err}	validation	error	invokeai, graph-validation, collector, collect
Problem validating graph {e}	exception	error	invokeai, graph-validation, unknown-error, bug
One or both nodes don't exist ({edge})	validation	error	invokeai, graph-validation, missing-node, edges
Edge already exists ({edge})	validation	error	invokeai, graph-validation, duplicate-edge, edges
Edge creates a cycle in the graph ({edge})	validation	error	invokeai, graph-validation, cycle, edges
Field types are incompatible ({edge})	validation	error	invokeai, graph-validation, type-mismatch, edges
Iterator input type does not match iterator output type ({ed	validation	error	invokeai, graph-validation, iterator, type-mismatch
Node {node_id} has already been prepared or executed and can	exception	error	graph, invokeai, state-error, queue
Destination node {edge.destination.node_id} has already been	exception	error	graph, invokeai, state-error, edges
Destination node {edge.destination.node_id} has already been	exception	error	graph, invokeai, state-error, edges
Queue user is not authorized to access this image	exception	error	permissions, multiuser, invokeai, image-access
Queue user is not authorized to save images	exception	error	permissions, multiuser, invokeai, image-save
Queue user is not authorized to save images to this board	exception	error	permissions, multiuser, invokeai, boards
Queue user is not authorized to access this video	exception	error	permissions, multiuser, invokeai, video-access
Queue user is not authorized to save videos	exception	error	permissions, multiuser, invokeai, video-save
Queue user is not authorized to save videos to this board	exception	error	permissions, boards, multi-user
No model found with name {name}, base {base}, and type {type	exception	error	models, lookup, not-found
More than one model found with name {name}, base {base}, and	exception	error	models, ambiguous, duplicates
External API models cannot be loaded from disk	exception	error	models, external-api, unsupported-operation
Database contains unknown applied migration IDs: {unknown_id	exception	critical	database, migrations, version-mismatch
Database is at version {version}, expected {expected}	exception	critical	database, migrations, sqlite
Database contains unknown legacy migration version: {legacy_	exception	critical	database, migrations, legacy, bootstrap
Database contains inconsistent applied migration state: {mig	exception	critical	database, migrations, consistency
Database contains inconsistent applied migration state: lega	exception	critical	database, migrations, consistency
Problem bootstrapping applied migrations: {e}	exception	critical	database, sqlite, migrations, bootstrap
Database contains unknown applied migration IDs: {unknown_id	exception	error	database, sqlite, migration, version-mismatch
Database contains inconsistent applied migration state: {mig	exception	error	database, sqlite, migration, data-corruption
Database contains inconsistent applied migration state: {mig	exception	error	database, sqlite, migration, data-corruption
call_saved_workflow input '{input_name}' is not exposed by t	validation	error	workflow, validation, input
call_saved_workflow input '{input_name}' targets missing chi	validation	error	workflow, validation, schema
call_saved_workflow input '{input_name}' targets missing chi	validation	error	workflow, validation, input
call_saved_workflow input '{input_name}' targets invalid chi	validation	error	workflow, validation, schema
Failed to create user: {e}	exception	error	sqlite, unique-constraint, valueerror, user-creation
User {user_id} not found	exception	error	valueerror, not-found, user-management, lookup
LAST_ADMIN_DETAIL	exception	error	last-admin, business-rule, user-management, policy
Parent directory references not allowed in subfolder path	validation	error	security, path-traversal, filesystem
Empty path segments not allowed in subfolder path	validation	error	filesystem, validation, path
Sidecar path outside outputs folder, potential directory tra	validation	error	security, path-traversal, filesystem
Invalid workflow meta version: {version}	validation	error	pydantic, validation, semver
A workflow may not contain more than one workflow_return nod	validation	error	workflow, validation, pydantic
Workflow with id {workflow_id} not found	exception	error	database, sqlite, not-found
Default workflows cannot be created via this method	validation	error	workflow, validation, business-rule
Default workflows cannot be updated	validation	error	workflow, validation, business-rule
Default workflows cannot be deleted	validation	error	workflow, validation, business-rule
Unsupported resize_mode: '{resize_mode}'.	exception	error	controlnet, validation, enum
Cannot achieve the target of num_channels={num_channels}.	exception	error	python, valueerror, controlnet, image-processing
Profiler not initialized. Call start() first.	exception	error	python, runtimeerror, profiling, lifecycle
Refusing to download from '{host}': it resolves to a non-pub	exception	error	security, ssrf, network, download
Unsupported URL scheme '{parts.scheme}'. Only http and https	validation	error	security, ssrf, url, validation
Download URL '{url}' has no host.	exception	error	security, url, validation, download
Download URL '{url}' has an invalid port.	exception	error	security, url, validation, download
Can't start `--dev_reload` because jurigged is not found; `p	exception	error	python, missing-dependency, dev-environment, hot-reload
Unsupported base model: {base_model}	validation	error	python, valueerror, unsupported-model, preview
Unsupported model base: {model_identifier.base}	validation	error	python, valueerror, unsupported-model, model-identifier
configure_torch_cuda_allocator() must be called before impor	exception	error	pytorch, cuda, import-order, configuration
Attempted to configure the PyTorch CUDA memory allocator, bu	exception	error	pytorch, cuda, gpu, environment
Failed to configure the PyTorch CUDA memory allocator. Expec	exception	error	pytorch, cuda, allocator, configuration
Decoded frame must be RGB; got shape {frame.shape}	validation	error	opencv, video, numpy, color-space
Decoded frame dimensions {width}x{height} exceed the maximum	validation	error	video, numpy, resource-limit, validation
Unable to validate video dimensions for {video_path}	validation	error	video, opencv, validation, corrupt-file
Video reports invalid dimensions {width}x{height}	validation	error	video, opencv, metadata, validation
Video dimensions {width}x{height} exceed the maximum decodab	validation	error	video, resource-limit, validation, ffmpeg
Unable to open video at {video_path}	exception	error	opencv, video, filenotfound, ffmpeg
No frames decoded from {video_path}	exception	error	video, opencv, decoding, subprocess
Video decode worker timed out after {timeout}s	exception	error	video, timeout, subprocess, decoding
Unable to open video decoder output stream	exception	error	video, subprocess, file-descriptors, resources
Timed out decoding frames from {video_path}	exception	error	video, timeout, streaming, decoding
Decoder returned an invalid frame for {video_path}	validation	error	video, ipc, protocol, numpy, internal-error
{message}: {detail}	exception	error	video, timeout, subprocess, process-tree
Timed out waiting to decode frames from {video_path}	exception	error	video, timeout, concurrency, backpressure, semaphore
Unable to open video at {video_path}	exception	error	video, probe, file-not-found, validation
Video at {video_path} reports invalid dimensions {width}x{he	validation	error	video, ffprobe, validation, dimensions
Video at {video_path} reports an invalid duration {duration}	validation	error	video, ffprobe, validation, metadata
Unexpected cond image shape: {tuple(rgb_bchw_01.shape)} (exp	validation	error	pytorch, shape-mismatch, controlnet, validation
Unexpected mask shape: {tuple(mask_b1hw_01.shape)} (expected	validation	error	pytorch, shape-mismatch, controlnet, validation
Unrecognized LLLite module name: '{name}'	validation	error	controlnet, naming, validation, checkpoint
State dict appears to be in a legacy ControlNet-LLLite weigh	validation	error	controlnet, checkpoint, legacy-format, migration
State dict contains no LLLite modules (no 'lllite_dit_blocks	validation	error	controlnet, checkpoint, validation, missing-keys
LLLite module '{name}' is missing key '{down_key}'	validation	error	controlnet, checkpoint, missing-keys, validation
LLLite target for '{m.lllite_name}' is {type(target).__name_	validation	error	controlnet, pytorch, type-mismatch, model-architecture
LLLite module '{m.lllite_name}' was trained for in_features=	validation	error	pytorch, shape-mismatch, controlnet
LLLite module '{name}' targets block {block_idx}, but the tr	validation	error	pytorch, indexing, controlnet, config
{type(scheduler).__name__} does not accept an explicit sigma	validation	error	diffusion, scheduler, pytorch
Negative conditioning is required when cfg_scale != 1.0	validation	error	diffusion, cfg, validation
Latent spatial dims must be even, got {h}x{w}	validation	error	pytorch, shape-mismatch, vae, validation
Invalid denoising window: start={denoising_start}, end={deno	validation	error	diffusion, validation, scheduler
The denoising window [{denoising_start}, {denoising_end}] ro	validation	error	diffusion, scheduler, validation
Hidden size {params.hidden_size} must be divisible by num_he	validation	error	pytorch, config, transformer, validation
Got {params.axes_dim} but expected positional dim {pe_dim}	validation	error	config, validation, flux, controlnet
Input img and txt tensors must have 3 dimensions.	validation	error	tensor-shape, validation, flux, controlnet
Didn't get guidance strength for guidance distilled model.	validation	error	flux, guidance, missing-argument, controlnet
Hidden size {params.hidden_size} must be divisible by num_he	validation	error	config, validation, divisibility, flux
Got {params.axes_dim} but expected positional dim {pe_dim}	validation	error	config, validation, positional-embedding, flux
Input img and txt tensors must have 3 dimensions.	validation	error	tensor-shape, validation, flux, xlabs
Didn't get guidance strength for guidance distilled model.	validation	error	flux, guidance, missing-argument, xlabs
Negative text conditioning is required when cfg_scale is not	validation	error	cfg, flux, missing-conditioning, denoising
Unexpected key: {k}	validation	error	state-dict, checkpoint, ip-adapter, key-mismatch
Hidden size {params.hidden_size} must be divisible by num_he	validation	error	flux, config-validation, model-init, transformer
Got {params.axes_dim} but expected positional dim {pe_dim}	validation	error	flux, config-validation, positional-embedding, model-init
Input img and txt tensors must have 3 dimensions.	validation	error	flux, tensor-shape, runtime-validation, forward-pass
Didn't get guidance strength for guidance distilled model.	validation	error	flux, guidance-distillation, missing-argument, forward-pass
Unknown variant for FLUX max seq len: {variant}	validation	error	flux, variant-lookup, unsupported-value, config
Unknown variant for FLUX transformer params: {variant}	validation	error	flux, variant-lookup, model-loading, unsupported-value
Negative text conditioning is required when cfg_scale is not	validation	error	flux2, cfg, missing-argument, denoising
Unsupported controlnet type for control image preprocessing.	exception	error	hidiffusion, controlnet, unsupported-value, preprocessing
Unsupported controlnet type for image preprocessing.	exception	error	hidiffusion, controlnet, unsupported-value, preprocessing
class_labels should be provided when num_class_embeds > 0	validation	error	diffusers, unet, missing-argument, conditioning
{self.__class__} has the config param `addition_embed_type`	validation	error	diffusers, unet, kandinsky, missing-argument, conditioning
{self.__class__} has the config param `addition_embed_type`	validation	error	diffusers, unet, sdxl, missing-argument, conditioning
{self.__class__} has the config param `addition_embed_type`	validation	error	diffusers, unet, sdxl, missing-argument, conditioning
{self.__class__} has the config param `addition_embed_type`	validation	error	diffusers, unet, kandinsky, missing-argument, conditioning
{self.__class__} has the config param `addition_embed_type`	validation	error	diffusers, unet, kandinsky, missing-argument, controlnet
{self.__class__} has the config param `encoder_hid_dim_type`	validation	error	diffusers, unet, kandinsky, missing-argument, conditioning
{self.__class__} has the config param `encoder_hid_dim_type`	exception	error	diffusers, unet, ip-adapter, missing-argument, conditioning
Error model. HiDiffusion now only supports sd15, sd21, sdxl,	exception	error	hidiffusion, configuration, unsupported-model
Provided model was not a diffusers model/pipeline, as expect	exception	error	hidiffusion, type-check, diffusers, api-misuse
{name_or_path} is not a supported model. HiDiffusion now onl	exception	error	hidiffusion, unsupported-model, model-loading, diffusion
missing keys after fp8 load: {missing[:10]}	exception	error	pytorch, state-dict, checkpoint, quantization
height and width must be divisible by {PIXELS_PER_IMAGE_TOKE	validation	error	validation, dimensions, resolution
expected {LATENT_DIM} packed channels, got {channels}	validation	error	validation, tensor-shape, latent
guidance_schedule has length {len(self.guidance_schedule)},	validation	error	validation, scheduler, configuration
prompt has {num_text_tokens} tokens, exceeds max_text_tokens	validation	error	validation, tokenizer, prompt-length
color_tensor must be a 3xHxW tensor	validation	error	validation, tensor-shape, color-space
Unsupported reference_illuminant: {reference_illuminant}	validation	error	validation, color-space, unsupported-value
%s is not supported	exception	error	watermark, unsupported-value, vendored-code
image too small, should be larger than 256x256	exception	error	watermark, image-size, vendored-code
Unknown model (%s)	exception	error	python, invalid-argument, model-registry, runtime-error
in_channels must be divisible by groups	validation	error	python, pytorch, convolution, invalid-argument
out_channels must be divisible by groups	validation	error	python, pytorch, convolution, invalid-argument
x_min ({self.x_min}) is greater than x_max ({self.x_max}).	validation	error	python, pydantic, validation, bounding-box
y_min ({self.y_min}) is greater than y_max ({self.y_max}).	validation	error	validation, pydantic, image, bounding-box
Either bounding_box or points must be provided	validation	error	validation, pydantic, segmentation, missing-argument
Invalid number of channels.	validation	error	numpy, image, shape, validation
Selected CLIP Vision Model is incompatible with the current	exception	error	pytorch, ip-adapter, clip, model-compatibility, shape-mismatch
Encountered unexpected IP Adapter state dict key: '{key}'.	exception	error	ip-adapter, checkpoint-loading, model-conversion
Unsupported IP-Adapter Plus cross-attention dimension: {cros	exception	error	ip-adapter, model-architecture, dimension-mismatch
'{ip_adapter_ckpt_path}' has an unrecognized IP-Adapter mode	validation	error	ip-adapter, model-architecture, checkpoint-loading
Krea-2 regional attention mask shape {tuple(regional_attenti	validation	error	krea2, regional-prompting, attention-mask, shape-mismatch
At least one Krea-2 text conditioning is required.	validation	error	krea2, regional-prompting, validation
Krea-2 regional mask has {conditioning.mask.numel()} values,	validation	error	krea2, regional-prompting, mask, shape-mismatch
Expected AutoencoderKLQwenImage or AutoencoderKLWan, got {ty	exception	error	krea2, vae, type-error, model-compatibility
AutoencoderKLWan is not Qwen-Image-compatible (z_dim={z_dim}	validation	error	krea2, vae, config-mismatch, model-compatibility
{len(images)} images were provided as input to the LLaVA One	validation	warning	llava-onevision, input-validation, image-count-limit
Image-to-prompt generation stalled (no output for {STREAM_TI	exception	error	llava-onevision, timeout, inference-stall, streaming
This model can not be loaded. If you're looking for help, co	exception	error	invokeai, model-loading, hash, blocklist, security
Algorithm {algorithm} not available	validation	error	invokeai, configuration, hash, valueerror
Not a valid file or directory: {model_path}	exception	error	invokeai, filesystem, path, hash
source_url must be a string	validation	error	invokeai, pydantic, validation, type-mismatch
source_url must be an http or https URL	validation	error	invokeai, pydantic, validation, url
Model config dict 'type' field must be a string or Enum	validation	error	invokeai, pydantic, discriminator, type-mismatch
Model config dict 'format' field must be a string or Enum	validation	error	invokeai, pydantic, discriminator, type-mismatch
Model config dict 'base' field must be a string or Enum	validation	error	invokeai, pydantic, discriminator, type-mismatch
Model config dict 'variant' field must be a string or Enum	validation	error	invokeai, pydantic, discriminator, clip-embed
CLIP Embed model config dict must include a 'variant' field	validation	error	invokeai, pydantic, discriminator, missing-field, clip-embed
Model config discriminator value must be computed from a dic	validation	error	python, model-manager, type-error, config
state dict has Anima ControlNet-LLLite keys but no lllite_co	validation	error	python, controlnet, state-dict, model-probing
state dict does not look like an Anima ControlNet-LLLite mod	validation	error	python, controlnet, lllite, model-probing
external API models are not probed from disk	validation	warning	python, external-api, model-manager, unsupported-operation
File extension {path.suffix} is not a recognized model forma	validation	error	python, file-extension, model-probing, validation
Directory contains more than {_MAX_FILES_IN_MODEL_DIR} files	validation	error	python, directory, validation, model-probing
No model files or config files found in directory {path}. Ex	validation	error	python, directory, model-probing, validation
model does not match FLUX Tools Redux heuristics	validation	error	python, flux, redux, model-probing
missing config.json at {config_path}	validation	error	python, gemma2, text-encoder, model-probing
directory looks like a full diffusers pipeline, not a standa	validation	error	python, gemma2, diffusers, model-probing
Gemma2 hidden_size {hidden_size} is incompatible with PiD, w	validation	error	model-compatibility, gemma2, model-import
directory does not contain Gemma2 tokenizer files (tokenizer	validation	error	model-import, tokenizer, missing-file
not a readable GGUF file: {e}	validation	error	gguf, corrupt-file, model-import
GGUF file is missing the 'general.architecture' metadata fie	validation	error	gguf, metadata, model-import
not a .gguf file: {mod.path.name}	validation	warning	gguf, file-extension, model-import
GGUF architecture '{architecture}' is not 'gemma2'	validation	error	gguf, architecture-mismatch, model-import
Gemma2 GGUF embedding_length {hidden_size} is incompatible w	validation	error	gguf, model-compatibility, gemma2
unable to load config file(s): {problems}	validation	error	config-file, json, model-import
missing _class_name or architectures field	validation	error	config-file, json, model-import
unable to determine class name from config file: {config}	validation	error	config-file, json, model-import
_class_name or architectures field is not a string: {config_	validation	error	model-config, validation, invokeai
invalid class name from config: {actual_class_name}	validation	error	model-config, class-mismatch, invokeai
unknown override field: {field_name}	validation	error	validation, pydantic, invokeai
invalid override for field '{field_name}': {e}	validation	error	validation, pydantic, invokeai
model path is not a file	validation	error	filesystem, path, invokeai
model path is not a directory	validation	error	filesystem, path, invokeai
base is {recognized_base}, not {expected_base}	validation	error	ip-adapter, model-base-mismatch, invokeai
missing ip_adapter.bin weights file	validation	error	ip-adapter, missing-file, invokeai
missing image_encoder.txt metadata file	validation	error	ip-adapter, missing-file, metadata, invokeai
unable to determine cross attention dimension: {e}	validation	error	ip-adapter, state-dict, invokeai
unrecognised/unsupported architecture for OMI LoRA: {archite	exception	warning	model-loading, lora, omi, not-a-match
model looks like Control LoRA	exception	warning	lora, control-lora, flux, not-a-match
model does not match LyCORIS LoRA heuristics	exception	warning	lora, lycoris, heuristics, not-a-match
model looks like an Anima LoRA, not a Stable Diffusion LoRA	exception	warning	lora, anima, sd, key-detection
unrecognized token vector length {token_vector_length}	exception	error	lora, model-import, base-model-detection, invokeai
model is not a FLUX.2 LoRA	exception	error	lora, flux, model-import, format-detection, invokeai
model does not match Z-Image LoRA heuristics	exception	error	lora, z-image, model-import, heuristic-matching, invokeai
model does not look like a Z-Image LoRA	exception	error	lora, z-image, base-model-detection, invokeai
model does not match Qwen Image LoRA heuristics	exception	error	lora, qwen-image, model-import, heuristic-matching, invokeai
model does not look like a Qwen Image Edit LoRA	exception	error	invokeai, model-manager, lora, qwen-image, not-a-match, model-install
model does not match Krea-2 LoRA heuristics (no complete lor	exception	error	invokeai, model-manager, lora, krea2, not-a-match, model-install
Krea-2 LoRA has an incomplete lora_A/B (or lora_down/up) wei	exception	error	invokeai, model-manager, lora, krea2, corrupt-weights, model-install
model does not look like a Krea-2 LoRA	exception	error	invokeai, model-manager, lora, krea2, not-a-match, model-install
model does not match Anima LoRA heuristics	exception	error	invokeai, model-manager, lora, anima, not-a-match, model-install
model does not look like an Anima LoRA	exception	error	model-manager, lora, model-detection, invokeai
model does not match Wan LoRA heuristics	exception	error	model-manager, lora, heuristic-mismatch, invokeai
model does not look like a Wan LoRA	exception	error	model-manager, lora, base-detection, invokeai
model state dict does not look like a Flux Control LoRA	exception	error	model-manager, control-lora, flux, invokeai
missing pytorch_lora_weights.bin or pytorch_lora_weights.saf	exception	error	lora, diffusers, missing-file
model is not a FLUX.2 Diffusers LoRA	exception	info	lora, flux2, model-probe
base is {recognized_base}, not {expected_base}	exception	info	checkpoint, base-model, model-probe
unable to determine base type from state dict	exception	warning	checkpoint, state-dict, base-detection
unable to determine model variant from state dict	exception	warning	checkpoint, variant-detection, state-dict
unrecognized unet in_channels {in_channels} for base '{base}	exception	error	checkpoint, variant-detection, in-channels
state dict does not look like a main model	exception	error	checkpoint, state-dict, validation
state dict does not look like a FLUX checkpoint	exception	info	flux, checkpoint, model-probe
model is a FLUX.2 model, not FLUX.1	exception	info	flux, flux2, version-mismatch
state dict does not look like bnb quantized nf4	exception	warning	quantization, bitsandbytes, nf4, state-dict
state dict does not look like GGUF quantized	exception	warning	gguf, quantization, state-dict
transformer is SDNQ-quantized; use Main_SDNQ_Diffusers_FLUX_	exception	info	model-identification, quantization, sdnq, flux
directory is not a full FLUX.2 pipeline (no model_index.json	exception	error	model-identification, flux, pipeline-layout, diffusers
transformer is SDNQ-quantized; use Main_SDNQ_Diffusers_Flux2	exception	info	model-identification, quantization, sdnq, flux2
unrecognized cross_attention_dim {cross_attention_dim}	exception	info	model-identification, unet-config, cross-attention
unrecognized scheduler prediction_type {prediction_type}	exception	warning	model-identification, scheduler-config, diffusers
transformer is SDNQ-quantized; use Main_SDNQ_Diffusers_ZImag	exception	info	model-identification, quantization, sdnq, z-image
state dict does not look like a Z-Image model	exception	warning	model-identification, z-image, state-dict
state dict does not look like a Wan transformer	exception	error	model-manager, gguf, wan, model-identification
state dict has no undecorated transformer block weights — it	exception	error	model-manager, gguf, wan, lora, model-identification
{unsupported_reason}	exception	error	model-manager, gguf, wan, unsupported-variant
Wan 2.1 GGUF models are not supported by the Wan 2.2 loader	exception	error	model-manager, gguf, wan, version-incompatibility
Wan 2.1 GGUF models are not supported by the Wan 2.2 loader:	exception	error	model-manager, gguf, wan, version-incompatibility
could not determine Wan variant from state dict	exception	error	model-manager, gguf, wan, variant-detection
Wan A14B GGUF filename or metadata must identify the model a	exception	error	model-manager, gguf, wan, naming-convention
PiD checkpoint has a malformed latent_proj: expected a 4D co	exception	error	model-manager, pid-decoder, checkpoint-corruption, state-dict
PiD decoder has lq_proj hidden dim {lq_hidden_dim}, but Invo	exception	error	checkpoint, model-loader, unsupported-architecture
PiD checkpoint has {channels} latent channels; no supported	exception	error	checkpoint, model-loader, shape-mismatch
PiD checkpoint is missing {len(missing)} of the weights requ	exception	error	checkpoint, corrupt-file, missing-keys
PiD checkpoint has {len(unexpected)} keys PidNet does not ex	exception	error	checkpoint, unexpected-keys, strict-loading
PiD checkpoint has {len(mismatched)} weights whose shape Pid	exception	error	checkpoint, shape-mismatch, model-loader
state dict does not look like a PiD decoder (no 'lq_proj.*'	exception	warning	checkpoint, model-identification, wrong-model-type
latent channels={latent_channels} do not match backbone {exp	exception	info	model-identification, backbone-mismatch, expected-behavior
ambiguous 16-channel PiD checkpoint; defaulting to FLUX.1	exception	info	model-identification, ambiguity, naming
name indicates {named_base}, not {expected_base}	exception	info	model-identification, naming, override-conflict
hidden size does not match a known Qwen3 variant	exception	warning	gguf, model-identification, qwen3, variant-detection
state dict does not look like a Qwen3 model	exception	warning	model-identification, state-dict, qwen3, invokeai
state dict looks like a T5 encoder (has 'enc.blk.*' keys), n	exception	info	model-identification, gguf, t5, qwen3
state dict looks like a Gemma-2 encoder (has post_attention_	exception	info	model-identification, gguf, gemma, qwen3
state dict bundles a Qwen-VL visual tower; this is a Qwen-VL	exception	warning	model-identification, state-dict, qwen3, qwen-vl
state dict looks like GGUF quantized	exception	warning	gguf, quantization, model-identification, state-dict
directory looks like a full diffusers pipeline (has model_in	exception	info	diffusers, model-identification, directory-structure, qwen3
directory looks like a complete causal LM (config.json and t	exception	info	model-identification, tokenizer, directory-structure, qwen3
unable to load config file(s): {{PosixPath('{config_path_nes	exception	warning	missing-file, config-json, model-identification, qwen3
folder is SDNQ-quantized; use Qwen3Encoder_SDNQ_Folder_Confi	exception	warning	quantization, sdnq, model-identification, qwen3
state dict looks SDNQ-quantized; use Qwen3Encoder_SDNQ_Folde	exception	warning	quantization, sdnq, state-dict, model-identification
unable to read Qwen3 config.json: {e}	exception	warning	model-identification, json-parse, invokeai
hidden_size {hidden_size} does not match a known Qwen3 varia	exception	warning	model-identification, config-mismatch, invokeai
state dict does not look like GGUF quantized	exception	error	gguf, model-identification, invokeai, file-format
Krea-2 requires a Qwen3-VL 4B checkpoint with hidden size {_	exception	error	model-loading, checkpoint-validation, invokeai, krea-2, qwen3-vl
Krea-2 requires a Qwen3-VL 4B checkpoint containing language	validation	error	model-loading, checkpoint-validation, invokeai, krea-2, qwen3-vl
directory looks like a full diffusers pipeline (has model_in	validation	error	model-import, diffusers, invokeai, directory-structure
unable to load config file: {config_path_nested} does not ex	validation	error	model-import, missing-file, invokeai, huggingface
standalone Qwen3-VL encoder directory does not contain model	validation	error	model-import, missing-weights, invokeai, huggingface, partial-download
standalone Qwen3-VL encoder directory does not contain token	validation	error	invokeai, model-import, tokenizer, model-manager, not-a-match
expected a .safetensors file, got {mod.path.suffix or '(no s	validation	error	invokeai, model-import, safetensors, file-format, not-a-match
state dict does not look like a single-file Qwen3-VL encoder	validation	error	invokeai, model-import, state-dict, checkpoint, not-a-match
directory looks like a full diffusers pipeline (has model_in	validation	error	invokeai, model-import, diffusers, pipeline, not-a-match
missing text_encoder/ subfolder	validation	error	invokeai, model-import, diffusers, directory-layout, not-a-match
missing tokenizer/ subfolder	validation	error	model-install, qwen-vl, directory-layout
missing {config_path}	validation	error	model-install, qwen-vl, missing-file
could not read text_encoder/config.json: {e}	validation	error	model-install, json, corrupt-file
text_encoder class is {sorted(candidates) or 'unknown'}, exp	validation	error	qwen-vl, model-mismatch, config
expected a .safetensors file, got {mod.path.suffix or '(no s	validation	warning	safetensors, model-format, qwen-vl
could not read safetensors header: {e}	validation	error	safetensors, corrupt-file, model-install
state dict does not look like a Qwen2.5-VL/Qwen2-VL checkpoi	validation	warning	safetensors, qwen-vl, key-mismatch
model does not match SpandrelImageToImage heuristics	validation	warning	spandrel, upscaler, model-detection
base is {recognized_base}, not {expected_base}	validation	warning	t2i-adapter, base-model, model-detection
unrecognized adapter_type '{adapter_type}'	validation	error	t2i-adapter, config, adapter-type
missing text_encoder_2/model.safetensors.index.json	validation	info	model-identification, diffusers, not-a-match
filename does not look like bnb quantized llm_int8	validation	info	bitsandbytes, quantization, model-identification
state dict does not look like bnb quantized llm_int8	validation	info	bitsandbytes, state-dict, quantization
no tokenizer_2 folder resolvable for this SDNQ T5 encoder la	validation	info	tokenizer, sdnq, missing-files
no text_encoder_2/config.json or config.json at model root	validation	info	config-missing, diffusers-layout, not-a-match
text_encoder_2 does not look like an SDNQ-quantized T5 encod	validation	info	sdnq, quantization, not-a-match
state dict does not look like a T5 encoder (no 'enc.blk.*' k	validation	info	gguf, t5, state-dict
state dict does not look like GGUF quantized	validation	info	gguf, ggml, state-dict
model architecture '{class_name}' is not a causal language m	validation	error	architecture, text-llm, config
architecture 'Gemma2ForCausalLM' (2304-dim Gemma-2-2b) is ha	validation	info	gemma2, text-llm, model-identification
model is a Wan-family VAE, not a standard VAE	validation	warning	model-import, vae, model-detection
Files for model '{model_config.name}' not found at {model_pa	exception	error	file-not-found, model-manager, filesystem
No subclass of LoadedModel is registered for base={config.ba	exception	error	registry, unsupported-model, not-implemented
Checkpoint contains {len(load_result.unexpected_keys)} unexp	exception	error	checkpoint, state-dict, corrupt-checkpoint
Unexpected model config type: {type(config)}.	validation	error	type-check, ip-adapter, flux
Only Transformer submodels are supported for checkpoint form	validation	error	submodel, sdnq, flux
Expected Main_SDNQ_Diffusers_FLUX_Config, got {type(config).	validation	error	type-check, sdnq, flux
A submodel type must be provided when loading main pipelines	validation	error	submodel, sdnq, argument-validation
Unsupported submodel type: {submodel_type}	validation	error	submodel, sdnq, flux
Unmapped Gemma-2 GGUF tensor key component '{component}' (fr	validation	error	gguf, model-conversion, gemma2, key-mapping
Unmapped Gemma-2 GGUF tensor key '{key}'	validation	error	gguf, model-conversion, gemma2, key-mapping
Only Gemma2Encoder_Gemma2Encoder_Config models are supported	validation	error	model-loader, config-mismatch, gemma2
Unsupported submodel type for Gemma2 encoder: {submodel_type	validation	error	model-loader, submodel-type, gemma2
Only Gemma2Encoder_GGUF_Config models are supported here.	validation	error	model-loader, config-mismatch, gemma2, gguf
Unexpected keys loading Gemma-2 GGUF encoder: {unexpected[:1	validation	error	gguf, state-dict, gemma2, transformers-version
Gemma-2 GGUF encoder has parameters left on the meta device	validation	critical	gguf, meta-device, state-dict, gemma2
There are no submodels in models of type {model_class}	validation	error	diffusers, model-loader, submodel-type
The "{submodel_type}" submodel is not available for this mod	validation	error	diffusers, model-loader, submodel-type, missing-component
Unable to decipher Load Class based on given config.json	validation	error	config, diffusers, model-loading
An expected config.json file is missing from this model.	validation	error	config, diffusers, missing-file
{context}: {len(meta)} parameter(s) remain on the meta devic	validation	critical	weights, meta-device, accelerate, model-loading
Expected Main_Diffusers_Ideogram4_Config, got {type(config).	validation	error	type-mismatch, config, model-loading
A submodel type must be provided when loading Ideogram 4 mai	validation	error	api-misuse, model-loading
Unsupported submodel for Ideogram 4: {submodel_type.value if	validation	error	api-misuse, unsupported-submodel, model-loading
unexpected keys loading Ideogram 4 text encoder: {unexpected	validation	error	weights, checkpoint-mismatch, state-dict
There are no submodels in an IP-Adapter model.	validation	error	api-misuse, ip-adapter, model-loading
{what}: source keys {source_of.get(key)!r} and {source!r} bo	validation	critical	checkpoint, key-collision, weight-conversion
CheckpointConfigBase is not implemented for the Krea-2 diffu	validation	error	unsupported-format, checkpoint, model-loading
Only Qwen3VLEncoder_Checkpoint_Config models are supported h	validation	error	python, valueerror, model-loader, invokeai, config-mismatch
Unexpected submodel requested for LLaVA OneVision model.	validation	error	python, valueerror, model-loader, invokeai, llava, multimodal
There are no submodels in a LoRA model.	validation	error	python, valueerror, model-loader, invokeai, lora, submodel
LoRA model is in unsupported FLUX format	exception	error	python, valueerror, model-loader, invokeai, lora, flux, state-dict
Only MistralEncoder_Diffusers_Config models are supported he	exception	error	python, model-loading, config-validation, invokeai
Only Tokenizer and TextEncoder submodels are supported. Rece	exception	error	python, model-loading, submodel, invokeai
Only MistralEncoder_Checkpoint_Config models are supported h	exception	error	python, model-loading, config-validation, invokeai
Only MistralEncoder_GGUF_Config models are supported here.	exception	error	python, model-loading, gguf, config-validation, invokeai
A submodel type must be provided when loading onnx pipelines	exception	error	python, onnx, model-loading, submodel, invokeai
Unrecognised PiD decoder checkpoint extension: {suffix!r}	exception	error	python, checkpoint, file-format, model-loading, invokeai
Unexpected submodel requested for PiD decoder.	exception	error	python, model-loading, submodel, invokeai
CheckpointConfigBase is not implemented for Qwen Image Edit	exception	error	python, qwen-image, diffusers, model-loading, checkpoint, invokeai
A submodel type must be provided when loading main pipelines	exception	error	model-loader, invokeai, submodel-type, pipeline
Only CheckpointConfigBase models are currently supported her	exception	error	model-loader, invokeai, checkpoint, config-type
Only Transformer submodels are currently supported. Received	exception	error	model-loader, invokeai, submodel-type, unsupported
Expected Main_GGUF_QwenImage_Config, got {type(config).__nam	exception	error	model-loader, invokeai, gguf, config-type
Expected Main_Checkpoint_QwenImage_Config, got {type(config)	exception	error	model-loader, invokeai, safetensors, gguf, config-type
Expected QwenVLEncoder_Diffusers_Config, got {type(config)._	exception	error	model-loader, invokeai, qwen-vl, text-encoder, config-type
Only Tokenizer and TextEncoder submodels are supported. Rece	exception	error	model-loader, invokeai, qwen-vl, submodel-type, unsupported
Expected QwenVLEncoder_Checkpoint_Config, got {type(config).	exception	error	model-loader, invokeai, qwen-vl, checkpoint, config-type
Failed to load Qwen VL tokenizer. Single-file Qwen VL encode	exception	error	network, tokenizer, huggingface, offline
Failed to load Qwen VL architecture config. Single-file Qwen	exception	error	network, config, huggingface, offline, qwen
Failed to load all parameters from checkpoint. Meta tensors	exception	error	checkpoint, safetensors, meta-tensor, weight-loading, qwen
Unexpected submodel requested for LLaVA OneVision model.	exception	error	valueerror, submodel, siglip, model-loading
Unexpected submodel requested for Spandrel model.	exception	error	valueerror, submodel, spandrel, upscaling
A submodel type must be provided when loading main pipelines	exception	error	missing-argument, submodel, stable-diffusion, model-loading
No diffusers pipeline known for base={config.base}, variant=	exception	error	unsupported-model, checkpoint, stable-diffusion, singlefile, variant
Unexpected submodel requested for TextLLM model.	exception	error	valueerror, submodel, llm, model-loading
There are no submodels in a TI model.	exception	error	valueerror, submodel, textual-inversion, embeddings
The embedding file at {path} was not found	exception	error	filesystem, model-loading, textual-inversion
{type(config).__name__} is a single-file config; it does not	exception	error	type-mismatch, model-loading, wan
A submodel type must be provided when loading Wan main pipel	exception	error	missing-argument, model-loading, wan
{source} is missing model parameters: {sorted(incompatible_k	exception	error	state-dict, checkpoint, model-loading, wan
{source} has {len(unexpected)} weights that WanTransformer3D	exception	error	state-dict, unsupported-model, wan, checkpoint
{source} is missing {key} after prefix strip and key convers	validation	error	state-dict, checkpoint, model-loading, wan
Expected Main_GGUF_Wan_Config, got {type(config).__name__}.	exception	error	type-mismatch, gguf, wan, model-loading
Only the Transformer submodel is available from a GGUF Wan c	validation	error	gguf, wan, unsupported-operation, model-loading
Expected Main_Checkpoint_Wan_Config, got {type(config).__nam	exception	error	type-mismatch, checkpoint, wan, model-loading
Only the Transformer submodel is available from a single-fil	validation	error	checkpoint, wan, unsupported-operation, model-loading
A submodel type (Tokenizer or TextEncoder) must be provided.	validation	error	python, valueerror, model-loading, invalid-argument
Unsupported submodel type for WanT5Encoder: {submodel_type.v	validation	error	python, valueerror, model-loading, unsupported-type
Cannot split QKV tensor '{key}': first dimension ({tensor.sh	validation	error	python, gguf, model-loading, corrupt-file, tensor-shape
CheckpointConfigBase is not implemented for Z-Image models.	exception	error	python, notimplemented, model-loading, unsupported-format
A submodel type must be provided when loading main pipelines	exception	error	python, exception, model-loading, invalid-argument
Expected Main_Checkpoint_ZImage_Config, got {type(config).__	exception	error	python, model-loading, type-mismatch, invokeai
Expected Main_GGUF_ZImage_Config, got {type(config).__name__	exception	error	python, gguf, model-loading, type-mismatch, invokeai
Only Main_SDNQ_ZImage_Config or Main_SDNQ_Diffusers_ZImage_C	validation	error	python, quantization, sdnq, model-loading, invokeai
Single-file SDNQ Z-Image checkpoints only provide the Transf	validation	error	python, sdnq, submodel, model-loading, invokeai
Unsupported submodel type for SDNQ ZImagePipeline: {submodel	validation	error	python, sdnq, submodel, model-loading, invokeai
Unexpected keys loading SDNQ Qwen3 text encoder: {unexpected	validation	error	python, state-dict, qwen3, sdnq, weight-loading
Unexpected missing keys loading SDNQ Qwen3 text encoder: {mi	validation	error	python, state-dict, qwen3, sdnq, weight-loading
Only Qwen3Encoder_Qwen3Encoder_Config models are supported h	validation	error	python, qwen3, model-loading, type-mismatch, invokeai
Only Tokenizer and TextEncoder submodels are supported. Rece	validation	error	invokeai, z-image, model-loader, unsupported-submodel
Only CheckpointConfigBase models are supported here.	validation	error	invokeai, z-image, controlnet, config-type-mismatch
Only Qwen3Encoder_Checkpoint_Config models are supported her	validation	error	invokeai, z-image, qwen3, config-type-mismatch
Only TextEncoder and Tokenizer submodels are supported. Rece	validation	error	invokeai, z-image, qwen3, unsupported-submodel
Expected Qwen3Encoder_Checkpoint_Config, got {type(config)._	exception	error	invokeai, z-image, qwen3, typeerror, config-type-mismatch
Could not find attention/mlp weights to determine configurat	validation	error	invokeai, z-image, qwen3, checkpoint, missing-key, config-detection
Only Qwen3Encoder_GGUF_Config models are supported here.	validation	error	invokeai, z-image, gguf, qwen3, config-type-mismatch
Expected Qwen3Encoder_GGUF_Config, got {type(config).__name_	exception	error	invokeai, z-image, gguf, typeerror, config-type-mismatch
Expected 2D embed_tokens weight tensor, got shape {embed_sha	validation	error	gguf, model-loading, shape-mismatch, corrupt-file
Could not find attention/mlp weights in state dict to determ	validation	error	gguf, model-loading, missing-tensor, key-mapping
Failed to load all parameters from GGUF. The following remai	exception	critical	gguf, model-loading, meta-tensor, missing-tensor
Only Qwen3Encoder_SDNQ_Config or Qwen3Encoder_SDNQ_Folder_Co	validation	error	config, type-mismatch, sdnq, model-loading
Only TextEncoder and Tokenizer submodels are supported. Rece	validation	error	submodel-type, sdnq, model-loading, api-misuse
Expected Qwen3Encoder_SDNQ_Config or Qwen3Encoder_SDNQ_Folde	validation	error	typeerror, sdnq, config, type-mismatch
Expected 2D embed_tokens weight tensor, got shape {embed_sha	exception	error	sdnq, shape-mismatch, corrupt-file, model-loading
Failed to load all parameters from SDNQ. The following remai	exception	critical	model-loading, sdnq, quantization, meta-tensor, runtime
Unknown variant: {variant}	exception	error	model-loading, variant, not-implemented, size-estimation
'{url}' does not look like a HuggingFace model page	exception	error	url-parsing, huggingface, validation, metadata
The model {path.stem} is potentially infected by malware. Ab	exception	critical	security, malware, picklescan, pickle, model-loading
Error scanning the model at {path.stem} for malware. Abortin	exception	critical	security, picklescan, corrupt-file, pickle, model-loading
Unrecognized model extension: {path.suffix}	validation	error	model-loading, file-format, validation, unsupported-extension
No weight files found for this model	exception	error	model-loading, missing-file, diffusers, download, validation
Multiple weight files found for this model: {ps}. Please spe	exception	error	model-loading, config, ambiguous-path
Supported only pytorch safetensors files	exception	error	safetensors, format-mismatch, model-loading
The model {path} is potentially infected by malware. Abortin	exception	critical	security, pickle, malware-scan
Error scanning the model at {path} for malware. Aborting imp	exception	error	security, pickle, scan-failure
Unable to find token id for token '{trigger}'	exception	error	textual-inversion, tokenizer, embedding
Cannot load embedding for {trigger}. It was trained on a mod	validation	error	textual-inversion, dimension-mismatch, embedding
You should call create_session before running model	exception	error	onnx, lifecycle, initialization
Model not found: {model_path}	exception	error	onnx, file-not-found, path
Cannot force both direct and sidecar patching.	validation	error	loras, patching, config-conflict
The base model quantization format (likely bitsandbytes) is	exception	error	dora, lora, quantization, bitsandbytes
Unsupported lora format: {state_dict.keys()}	exception	error	lora, state-dict, key-format, valueerror
{layer_key} not expected	exception	error	lora, flux, state-dict, unexpected-key
Missing LoRA layer: '{src_key}'.	exception	error	lora, flux, diffusers, missing-key
Layer '{layer_name}' does not match the expected pattern for	exception	error	lora, flux, kohya, key-prefix
Key '{k}' does not match the expected pattern for FLUX LoRA	exception	error	lora, flux, kohya, regex, key-format
Layer '{layer_name}' does not match the expected pattern for	exception	error	lora, flux, onetrainer, key-prefix
Key '{key}' does not match the expected pattern for xlabs FL	exception	error	lora, flux, xlabs, regex, key-format
Key {key} does not match parsing tree {parsing_tree}.	exception	error	lora, kohya, parsing, key-format
Krea-2 LoRA has conflicting layers that normalize to the sam	exception	error	lora, state-dict, key-collision, krea2
Krea-2 LoRA has conflicting layers that normalize to the sam	exception	error	lora, kohya, key-collision, krea2
Krea-2 LoRA has conflicting layers that normalize to the sam	exception	error	lora, key-alias, krea2, prefix-collision
Malformed Krea-2 LoRA: layer '{layer_key}' has lora_A.weight	exception	error	lora, peft, corrupt-file, krea2
Unrecognized SDXL LoRA key prefix: '{full_key}'.	exception	error	lora, sdxl, key-format, unrecognized-prefix
The SDXL LoRA could only be partially converted to diffusers	exception	error	lora, sdxl, partial-conversion, mixed-format
Unknown ckpt_type {ckpt_type!r}. Valid: {VALID_CKPT_TYPES}	exception	error	keyerror, config, checkpoint, pid
Unknown (backbone, ckpt_type)=({backbone!r}, {ckpt_type!r}).	exception	error	keyerror, checkpoint-registry, pid, backbone
Unknown backbone '{name}'. Available: {list(PIPELINE_REGISTR	exception	error	valueerror, pipeline-registry, config, pid
Expected 4-D latent (B, C, H, W) after extraction, got shape	exception	error	runtime-error, tensor-shape, latent, pid
ed_hidden_size {self.ed_hidden_size} must be divisible by ed	exception	error	configuration, value-error, attention, divisibility
PixDiT_T2I context parallel is not implemented for the encod	exception	error	context-parallel, not-implemented, multi-gpu, configuration-conflict
Text embedding y must be [B, L, D]	exception	error	shape, value-error, text-embedding, tensor-rank
Failed to gather tensors: {e}	exception	error	context-parallel, all-gather, distributed, nccl, runtime-error
PiD decoder backbone {backbone!r} is not supported. Expected	exception	error	configuration, value-error, backbone, model-loading
PiD checkpoint has {len(not_strings)} keys that are not stri	exception	error	checkpoint, state-dict, runtime-error, corrupt-file
PiD checkpoint has unexpected keys not present in PidNet: {u	exception	error	checkpoint, state-dict, key-mismatch, model-loading
PiD checkpoint is missing {len(missing)} keys required by Pi	exception	error	checkpoint, state-dict, missing-keys, model-loading
PiD student schedule for num_steps={num_steps} is not strict	validation	error	sampling, value-error, num-steps, schedule
Unsupported PiD backbone: {backbone!r}	validation	error	valueerror, config, model-loading
degrade_sigma must broadcast to [B={batch_size}], got shape	validation	error	valueerror, shape-mismatch, tensor
encode_caption_for_pid requires at least one caption.	validation	error	valueerror, validation, empty-input
{node_title} requires a {node_base.value} PiD decoder, but t	validation	error	valueerror, model-mismatch, workflow
Operation changed the dtype of GGMLTensor unexpectedly.	exception	error	valueerror, quantization, gguf, dtype
Unexpected keys loading {model_name}: {unexpected}	validation	error	valueerror, state-dict, model-loading, quantization
Missing keys loading {model_name} (required parameters left	validation	critical	valueerror, missing-keys, meta-device, quantization
No safetensors files found in {model_path}	validation	error	valueerror, file-not-found, model-loading
Duplicate keys across SDNQ shards (model={model_path}): {sor	validation	error	valueerror, corrupt-model, sharded-checkpoint
Operation changed the dtype of SDNQTensor unexpectedly.	exception	error	valueerror, quantization, sdnq, dtype
Unexpected dtype '{dtype}'.	validation	error	python, valueerror, dtype, precision
unrecognized device {self.unet.device}	validation	error	python, valueerror, device, hardware
Source image required for inpaint mask when inpaint model us	validation	error	python, valueerror, inpainting, missing-argument
Unexpected conditioning mode: {conditioning_mode}	validation	error	python, valueerror, enum, conditioning
InpaintExt should be used only on normal (non-inpainting) mo	validation	error	python, valueerror, inpainting, model-probing
Source image required for inpaint mask when inpaint model us	validation	error	python, valueerror, inpainting, missing-argument
InpaintModelExt should be used only on inpaint models!	validation	error	python, valueerror, inpainting, extension
Unexpected T2I-Adapter base model type: '{model_config.base}	validation	error	python, valueerror, t2i-adapter, base-model
Regional prompting is not yet supported in Multi-Diffusion.	validation	error	python, notimplemented, multi-diffusion, regional-prompting
Text generation stalled (no output for {STREAM_TIMEOUT}s)	exception	error	timeout, streaming, llm, inference
Invalid embeddings file: {file_path.name}	validation	error	validation, embeddings, torch, model-loading
token_ids must not start with bos_token_id	exception	error	tokenization, textual-inversion, validation, contract-violation
token_ids must not end with eos_token_id	exception	error	tokenization, textual-inversion, validation, contract-violation
image size (({image_width}, {image_height})) must be divisib	validation	error	validation, tiling, image-processing, divisibility
unrecognized device {latents.device}	exception	error	device, torch, memory, unsupported-hardware
generation_devices requested '{device_str}', but no CUDA dev	validation	error	config, cuda, device, gpu-unavailable
generation_devices requested '{device_str}', but only {torch	validation	error	config, cuda, device-index, validation
generation_devices requested '{device_str}', but no XPU devi	validation	error	config, xpu, device, gpu-unavailable
generation_devices requested '{device_str}', but only {torch	validation	error	config, xpu, device-index, validation
generation_devices requested '{device_str}', but MPS is not	validation	error	pytorch, device-configuration, mps, macos
Refusing to record {compute_dtype} as an FP8 compute dtype;	exception	error	pytorch, dtype, fp8, quantization
Must provide the same number of `block_out_channels` as `dow	validation	error	config-validation, diffusers, controlnet, model-config
Must provide the same number of `only_cross_attention` as `d	validation	error	config-validation, diffusers, controlnet, model-config
Must provide the same number of `num_attention_heads` as `do	validation	error	config-validation, diffusers, controlnet, model-config
`encoder_hid_dim` has to be defined when `encoder_hid_dim_ty	validation	error	config-validation, valueerror, diffusers, model-init
encoder_hid_dim_type: {encoder_hid_dim_type} must be None, '	validation	error	config-validation, valueerror, enum, diffusers
`class_embed_type`: 'projection' requires `projection_class_	validation	error	config-validation, valueerror, sdxl, diffusers
addition_embed_type: {addition_embed_type} must be None, 'te	validation	error	config-validation, valueerror, enum, sdxl
A dict of processors was passed, but the number of processor	validation	error	attention-processors, count-mismatch, valueerror, ip-adapter, diffusers
You have provided {len(slice_size)}, but {self.config} has {	validation	error	valueerror, attention-slicing, config-mismatch
size {size} has to be smaller or equal to {dim}.	validation	error	valueerror, attention-slicing, out-of-range
unknown `controlnet_conditioning_channel_order`: {channel_or	validation	error	valueerror, controlnet, invalid-argument
class_labels should be provided when num_class_embeds > 0	validation	error	valueerror, unet, missing-argument
{self.__class__} has the config param `addition_embed_type`	validation	error	valueerror, sdxl, missing-argument
{self.__class__} has the config param `addition_embed_type`	validation	error	valueerror, sdxl, missing-argument
Level Zero loader is missing {name}	exception	error	attributeerror, intel-gpu, level-zero, missing-symbol
{fn_name} failed	exception	error	runtimeerror, intel-gpu, level-zero, device-enumeration
syslog is not available on this system	validation	error	valueerror, logging, syslog, platform
{args} is not a value argument list for syslog logging	validation	error	python, logging, config, valueerror
please provide filename for file logging using format 'file=	validation	error	python, logging, config, valueerror
please provide destination for http logging using format 'ht	validation	error	python, logging, config, valueerror
the http logging module can only log to HTTP URLs, but {url.	validation	error	python, logging, url, https, valueerror
Unsupported mask shape: {mask.shape}. Expected (1, h, w) or	validation	error	python, pytorch, tensor-shape, mask
out_dtype must be a float type, but got {out_dtype}	validation	error	python, pytorch, dtype, mask
Reference-image dimensions must be multiples of 8 (got {widt	validation	error	python, pytorch, image-processing, dimensions, wan
last_image (FLF2V) interpolation requires num_frames > 1.	validation	error	python, video, wan, flf2v, validation
activation_chunk_size must be positive	validation	error	python, pytorch, memory-optimization, validation, wan
Expected a Wan transformer with blocks, got {type(transforme	exception	error	python, context-manager, monkey-patching, memory-optimization, wan
Wan memory optimization context cannot be nested.	exception	error	runtime-error, nested-context, state-management, wan
Streaming Wan VAE decode does not support spatial tiling.	exception	error	value-error, vae, tiling, video-decode, unsupported-operation
positive_cap_feats is required when regional_attn_mask is pr	validation	error	value-error, regional-prompting, argument-validation, z-image
HiDiffusion Warning: The feature size is {(H, W)} and cannot	console	warning	warning, hidiffusion, resolution, window-attention, image-quality
I've had issues with optimizer in recent versions of PyTorch	console	warning	warning, onnx, pytorch, model-optimization, version-compatibility