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I will pre-emptively say I:
FETCH DATA from: L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json [DONE] got prompt [rgthree] Using rgthree's optimized recursive execution. [rgthree] First run patching recursive_output_delete_if_changed and recursive_will_execute. [rgthree] Note: If execution seems broken due to forward ComfyUI changes, you can disable the optimization from rgthree settings in ComfyUI. model_path is L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts\LiheYoung/Depth-Anything\checkpoints\depth_anything_vitl14.pth using MLP layer as FFN model_type EPS Using pytorch attention in VAE Using pytorch attention in VAE LoadAndApplyICLightUnet: Checking IC-Light Unet path LoadAndApplyICLightUnet: Loading IC-Light Unet weights LoadAndApplyICLightUnet: Attempting to add patches with IC-Light Unet weights LoadAndApplyICLightUnet: Added LoadICLightUnet patches Requested to load CLIPVisionModelProjection Loading 1 new model L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py:357: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:455.) out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False) Requested to load SD1ClipModel Loading 1 new model Requested to load AutoencoderKL Loading 1 new model Requested to load BaseModel Loading 1 new model WARNING SHAPE MISMATCH diffusion_model.input_blocks.0.0.weight WEIGHT NOT MERGED torch.Size([320, 8, 3, 3]) != torch.Size([320, 4, 3, 3]) Merged with diffusion_model.input_blocks.0.0.weight channel changed from torch.Size([320, 4, 3, 3]) to [320, 8, 3, 3] !!! Exception during processing!!! 'ModuleList' object has no attribute '1' Traceback (most recent call last): File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1344, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1314, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 37, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 761, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 663, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 650, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 625, in inner_sample self.conds = process_conds(self.inner_model, noise, self.conds, device, latent_image, denoise_mask, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 587, in process_conds pre_run_control(model, conds[k]) File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 439, in pre_run_control x['control'].pre_run(model, percent_to_timestep_function) File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 306, in pre_run comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device())) File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 302, in set_attr_param return set_attr(obj, attr, torch.nn.Parameter(value, requires_grad=False)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 296, in set_attr obj = getattr(obj, name) ^^^^^^^^^^^^^^^^^^ File "L:\Clean Comfy\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1709, in getattr raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'") AttributeError: 'ModuleList' object has no attribute '1'
This is the error screen from inside Comfy itself.
The text was updated successfully, but these errors were encountered:
No branches or pull requests
I will pre-emptively say I:
This is the full console log starting from me pressing Queue Process
FETCH DATA from: L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json [DONE]
got prompt
[rgthree] Using rgthree's optimized recursive execution.
[rgthree] First run patching recursive_output_delete_if_changed and recursive_will_execute.
[rgthree] Note: If execution seems broken due to forward ComfyUI changes, you can disable the optimization from rgthree settings in ComfyUI.
model_path is L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts\LiheYoung/Depth-Anything\checkpoints\depth_anything_vitl14.pth
using MLP layer as FFN
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
LoadAndApplyICLightUnet: Checking IC-Light Unet path
LoadAndApplyICLightUnet: Loading IC-Light Unet weights
LoadAndApplyICLightUnet: Attempting to add patches with IC-Light Unet weights
LoadAndApplyICLightUnet: Added LoadICLightUnet patches
Requested to load CLIPVisionModelProjection
Loading 1 new model
L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py:357: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:455.)
out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False)
Requested to load SD1ClipModel
Loading 1 new model
Requested to load AutoencoderKL
Loading 1 new model
Requested to load BaseModel
Loading 1 new model
WARNING SHAPE MISMATCH diffusion_model.input_blocks.0.0.weight WEIGHT NOT MERGED torch.Size([320, 8, 3, 3]) != torch.Size([320, 4, 3, 3])
Merged with diffusion_model.input_blocks.0.0.weight channel changed from torch.Size([320, 4, 3, 3]) to [320, 8, 3, 3]
!!! Exception during processing!!! 'ModuleList' object has no attribute '1'
Traceback (most recent call last):
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1344, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 37, in sample
samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 761, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 663, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 650, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 625, in inner_sample
self.conds = process_conds(self.inner_model, noise, self.conds, device, latent_image, denoise_mask, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 587, in process_conds
pre_run_control(model, conds[k])
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 439, in pre_run_control
x['control'].pre_run(model, percent_to_timestep_function)
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 306, in pre_run
comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device()))
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 302, in set_attr_param
return set_attr(obj, attr, torch.nn.Parameter(value, requires_grad=False))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 296, in set_attr
obj = getattr(obj, name)
^^^^^^^^^^^^^^^^^^
File "L:\Clean Comfy\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1709, in getattr
raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")
AttributeError: 'ModuleList' object has no attribute '1'
This is the error screen from inside Comfy itself.
The text was updated successfully, but these errors were encountered: