ErrLookup › lllyasviel/ControlNet

lllyasviel/ControlNet

Let us control diffusion models! · Python · 407 source files

Analyzed at ed85cd1e25 on 2026-08-27. 27 documented errors.

Code / MessageTypeSeverityTags
resize_method {self.__resize_method} not implemented
validation error midas, resize, config, value-error
Not a PFM file:
validation error midas, pfm, file-format, depth-map
Malformed PFM header.
validation error pfm, midas, corrupt-file, parsing
Image dtype must be float32.
validation error pfm, numpy, dtype, midas
Image must have H x W x 3, H x W x 1 or H x W dimensions.
validation error pfm, numpy, shape, image-io
inverted_residual_setting should be non-empty or a 4-element
validation error mlsd, mobilenet, model-config, value-error
inverted_residual_setting should be non-empty or a 4-element
validation error mlsd, mobilenet, model-config, value-error
provide num_res_blocks either as an int (globally constant)
validation error controlnet, config, unet, value-error
unknown loss type '{loss_type}'
validation error diffusion, training, config, loss-function
Parameterization {self.parameterization} not yet supported
validation error diffusion, parameterization, training, config
encoder_posterior of type '{type(encoder_posterior)}' not ye
validation error diffusion, vae, latent, type-error
Unsupported noise schedule {}. The schedule needs to be 'dis
validation error dpm-solver, sampling, diffusion, config
Unsupported skip_type {}, need to be 'logSNR' or 'time_unifo
validation error dpm-solver, sampling, timesteps, config
'order' must be '1' or '2' or '3'.
validation error dpm-solver, sampling, order, value-error
'solver_type' must be either 'dpm_solver' or 'taylor', got {
validation error dpm-solver, sampling, solver-type, value-error
Solver order must be 1 or 2 or 3, got {}
validation error dpm-solver, order, sampling, value-error
Malformed PFM header.
validation error midas, pfm, file-format, depth-estimation, header-parsing
Image dtype must be float32.
validation error midas, pfm, numpy, dtype, depth-estimation
Image must have H x W x 3, H x W x 1 or H x W dimensions.
validation error midas, pfm, numpy, shape, depth-estimation
Expected key `target` to instantiate.
validation critical latent-diffusion, stable-diffusion, config, reflection, instantiation
Invalid learning rate: {}
validation error optimizer, adamw, learning-rate, diffusion-training, validation
Invalid epsilon value: {}
validation error optimizer, adamw, epsilon, diffusion-training, validation
Invalid beta parameter at index 0: {}
validation error optimizer, adamw, betas, diffusion-training, validation
Invalid beta parameter at index 1: {}
validation error optimizer, adamw, betas, diffusion-training, validation
Invalid weight_decay value: {}
validation error optimizer, adamw, weight-decay, diffusion-training, validation
Invalid ema_decay value: {}
validation error optimizer, adamw, ema, diffusion-training, validation
AdamW does not support sparse gradients
validation error optimizer, adamw, sparse-gradients, pytorch, embeddings, diffusion-training