ErrLookup › lllyasviel/Fooocus
lllyasviel/Fooocus
Focus on prompting and generating · Python · 196 source files
Analyzed at ae05379cc9 on 2026-08-15. 71 documented errors.
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| checkpoint url or path is invalid | exception | error | blip, checkpoint, file-not-found, config |
| checkpoint url or path is invalid | exception | error | blip, nlvr, checkpoint, file-not-found |
| Max depth of recursive function `tie_encoder_to_decoder` rea | exception | critical | blip, pytorch, recursion, weight-tying, model-config |
| The hidden size (%d) is not a multiple of the number of atte | validation | error | blip, bert, config, attention, model-construction |
| Wrong shape for input_ids (shape {}) or attention_mask (shap | validation | error | blip, bert, attention-mask, shape-mismatch |
| You cannot specify both input_ids and inputs_embeds at the s | validation | error | blip, bert, input-validation, kwargs |
| You have to specify either input_ids or inputs_embeds or enc | validation | error | blip, bert, input-validation, kwargs |
| The hidden size (%d) is not a multiple of the number of atte | validation | error | blip, nlvr, bert, config, attention |
| Wrong shape for input_ids (shape {}) or attention_mask (shap | validation | error | blip, nlvr, attention-mask, shape-mismatch |
| You cannot specify both input_ids and inputs_embeds at the s | validation | error | blip, nlvr, input-validation, kwargs |
| You have to specify either input_ids or inputs_embeds or enc | validation | error | blip, nlvr, input-validation |
| {model_name} is not implemented. | exception | error | facexlib, face-detection, model-name, not-implemented |
| No paddings to do, output_size must be None or {} | validation | error | facexlib, face-alignment, padding, argument-validation |
| Not (0 <= inner_padding_factor <= 1.0) | validation | error | facexlib, face-alignment, padding, argument-validation |
| Not (outer_padding[0] < output_size[0] and outer_padding[1] | validation | error | facexlib, face-alignment, padding, argument-validation |
| Must have (output_size - outer_padding)= some_scale * (crop_ | validation | error | facexlib, face-alignment, aspect-ratio, argument-validation |
| reference_pts.shape must be (K,2) or (2,K) and K>2 | validation | error | facexlib, face-alignment, landmarks, shape-validation |
| facial_pts.shape must be (K,2) or (2,K) and K>2 | validation | error | facexlib, face-alignment, landmarks, shape-validation |
| facial_pts and reference_pts must have the same shape | validation | error | facexlib, face-alignment, landmarks, shape-mismatch |
| cp2tform:twoUniquePointsReq | exception | error | facexlib, face-alignment, linear-algebra, degenerate-input, landmarks |
| network_name={network_name} | exception | error | facexlib, retinaface, model-config, not-implemented |
| {model_name} is not implemented. | exception | error | facexlib, face-parsing, model-config, not-implemented |
| "suffix" must be a string or tuple of strings | validation | error | facexlib, filesystem, typeerror, scandir |
| An image must be set with .set_image(...) before mask predic | exception | error | sam, segment-anything, state-machine, runtimeerror |
| An image must be set with .set_image(...) to generate an emb | exception | error | sam, embeddings, state-machine, runtimeerror |
| Unsupported blend mode: {mode} | validation | error | comfyui, latent-blend, blend-mode, fooocus |
| Input size must have a shape of (*, 3, H, W). Got {image.sha | validation | error | kornia, tensor-shape, canny, image-preprocessing |
| Unknown data type: {image.dtype} | validation | error | kornia, dtype, canny, typeerror |
| Unsupported blend mode: {mode} | validation | error | comfyui, blend-mode, post-processing, image-ops |
| provide num_res_blocks either as an int (globally constant) | validation | error | controlnet, unet-config, validation, stable-diffusion |
| Order {order} too high for step {i} | validation | error | k-diffusion, sampler, lms, multistep |
| eta must be 0 for reverse sampling | validation | error | k-diffusion, dpm-solver, sampler-config, eta |
| order should be 2 or 3 | validation | error | k-diffusion, dpm-solver, sampler-config, adaptive |
| sigma_min and sigma_max must not be 0 | validation | error | k-diffusion, dpm-solver, sigma-schedule, validation |
| solver_type must be 'heun' or 'midpoint' | validation | error | k-diffusion, dpm-solver, sampler-config, sde |
| input has {x.ndim} dims but target_dims is {target_dims}, wh | validation | error | k-diffusion, broadcasting, tensor-shape, utility |
| hash of {path} (url: {url}) failed to validate | exception | error | k-diffusion, download, sha256, integrity |
| Not enough memory, use lower resolution (max approx. {max_re | exception | error | cuda, memory, attention, resolution, out-of-memory, diffusion |
| CORRUPTED MODEL: one of the q-k-v values for the text encode | exception | critical | corruption, checkpoint, text-encoder, clip, conversion, safetensors |
| invalid style model {} | exception | error | style-model, t2i-adapter, invalid-file, model-loading, validation |
| ERROR: Could not detect model type of: {} | exception | error | checkpoint, model-detection, unet, unsupported-model, model-loading |
| scale {scale} is not supported. Supported scales: 2^n and 3. | exception | error | super-resolution, dat, upscale, config, valueerror |
| scale {scale} is not supported. Supported scales: 2^n and 3. | exception | error | super-resolution, hat, upscale, config, valueerror |
| Upsample mode [{self.upsampler}] is not found | exception | error | super-resolution, rrdb, esrgan, upsampler, config, naming |
| upsample mode [{upsampler}] is not found | exception | error | super-resolution, spsr, upsampler, config, naming |
| scale {scale} is not supported. Supported scales: 2^n and 3. | exception | error | super-resolution, swin2sr, upscale, config, valueerror |
| scale {scale} is not supported. Supported scales: 2^n and 3. | exception | error | super-resolution, swinir, upscale, config, valueerror |
| activation layer [{:s}] is not found | exception | error | super-resolution, activation, block, config, notimplementederror |
| normalization layer [{:s}] is not found | exception | error | super-resolution, normalization, block, config, notimplementederror |
| padding layer [{:s}] is not implemented | exception | error | super-resolution, padding, block, config, notimplementederror |
| Wrong params! | exception | error | codeformer, face-restoration, vqgan, checkpoint, wrong-file |
| normalize should be True if scale is passed | validation | error | codeformer, position-embedding, detr, constructor, config |
| activation should be relu/gelu, not {activation}. | exception | error | codeformer, activation, transformer, config, case-sensitive |
| Wrong activation value in EqualLinear: {activation}Supported | exception | error | pytorch, stylegan, face-restoration, constructor-validation, model-config |
| Wrong sample mode {self.sample_mode}, supported ones are ['u | exception | error | pytorch, stylegan, face-restoration, constructor-validation, resampling |
| Wrong activation value in EqualLinear: {activation}Supported | exception | error | pytorch, stylegan, face-restoration, constructor-validation, code-duplication |
| invalid distribution {distribution} | exception | error | pytorch, weight-init, timm, constructor-validation |
| **** ERROR: Saving image outside the output folder is not al | exception | error | security, path-traversal, filesystem, image-saving, sanitization |
| sam model {sam_model} does not exist. | validation | error | segment-anything, model-download, config, match-statement, validation |
| You have selected base model other than SDXL. This is not su | exception | error | sdxl, checkpoint, model-compatibility, pipeline, not-implemented |
| Folder path is not a valid directory. | validation | error | filesystem, validation, directory-scan, user-input |
| Invalid value for parameter `type`: {type}. Please choose fr | validation | error | gradio, ui, constructor-validation, version-compatibility |
| Invalid value for parameter `source`: {source}. Please choos | validation | error | gradio, ui, constructor-validation, version-compatibility |
| Image streaming only available if source is 'webcam'. | validation | error | gradio, ui, webcam, streaming, constructor-validation |
| Unknown type: {self.type}. Please choose from: 'numpy', 'pil | exception | error | gradio, ui, postprocess, state-mutation |
| Unsupported image type in input | exception | error | gradio, base64, image-decoding, pillow, input-validation |
| Cannot process this value as an Image | exception | error | gradio, ui, serialization, type-mismatch, examples |
| Error: running this interpretation for images requires sciki | exception | error | gradio, optional-dependency, scikit-image, interpretation, environment |
| Error running command. Command: {command} Error code: {resul | exception | critical | subprocess, pip, launch, installation, environment, network |
| {str(e)} File corrupted: {path} Fooocus has tried to move t | exception | error | fooocus, model-loading, corrupted-file, download, monkey-patch, file-io |
| error invalid scheduler | exception | error | fooocus, scheduler, validation, enum, pipeline, typeerror |