error loading SD3.5 medium

[marcoA152]

got this error loading stableDiffusion35_medium.safetensors using Local Managed Server for Krita

probably is related that ComfyUI version is not the latest(?) https://github.com/comfyanonymous/ComfyUI/releases/tag/v0.2.5 and https://www.reddit.com/r/StableDiffusion/comments/1gevd96/comment/ludkop2/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

Thanks for your work!!!

ComfyUI Error Report

Error Details

• Node Type: CheckpointLoaderSimple
• Exception Type: RuntimeError

• Exception Message: Error(s) in loading state_dict for OpenAISignatureMMDITWrapper: size mismatch for joint_blocks.0.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.0.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.1.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.1.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.2.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.2.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.3.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.3.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.4.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.4.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.5.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.5.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.6.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.6.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.7.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.7.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.8.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.8.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.9.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.9.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.10.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.10.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.11.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.11.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for joint_blocks.12.x_block.adaLN_modulation.1.weight: copying a param with shape torch.Size([13824, 1536]) from checkpoint, the shape in current model is torch.Size([9216, 1536]). size mismatch for joint_blocks.12.x_block.adaLN_modulation.1.bias: copying a param with shape torch.Size([13824]) from checkpoint, the shape in current model is torch.Size([9216]).

  Stack Trace

  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\execution.py", line 323, in execute
  output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\execution.py", line 198, in get_output_data
  return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\execution.py", line 169, in _map_node_over_list
  process_inputs(input_dict, i)
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\execution.py", line 158, in process_inputs
  results.append(getattr(obj, func)(**inputs))
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\nodes.py", line 540, in load_checkpoint
  out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\comfy\sd.py", line 560, in load_checkpoint_guess_config
  out = load_state_dict_guess_config(sd, output_vae, output_clip, output_clipvision, embedding_directory, output_model, model_options, te_model_options=te_model_options)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\comfy\sd.py", line 601, in load_state_dict_guess_config
  model.load_model_weights(sd, diffusion_model_prefix)
  
  File "C:\ComfyUI_windows_portable\krita2\ComfyUI\comfy\model_base.py", line 223, in load_model_weights
  m, u = self.diffusion_model.load_state_dict(to_load, strict=False)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  
  File "C:\ComfyUI_windows_portable\krita2\python\Lib\site-packages\torch\nn\modules\module.py", line 2215, in load_state_dict
  raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(

[arcusmaximus]

Relatedly, the addon references a version of the "ComfyUI-GGUF" custom node that doesn't support SD3.5 yet - the error message is clearer in this case, saying that the "sd3" identifier is not recognized. (The latest version does support this)

[DrSiemer]

Update Comfy, that fixed it for me. I used the ComfyUI Manager and first executed "Update ComfyUI" and then "Update All".

[Acly]

v1.28.0 managed install uses latest ComfyUI/GGUF so SD3.5 medium should work there too now