THtianhao/ComfyUI-Portrait-Maker

ERROR:root:!!! Exception during processing !!!

opanterao opened this issue · 6 comments

opanterao commented

ERROR:root:!!! Exception during processing !!!
ERROR:root:Traceback (most recent call last):
File "D:\AI\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\AI\ComfyUI\execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\AI\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\AI\ComfyUI\nodes.py", line 476, 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 "D:\AI\ComfyUI\comfy\sd.py", line 400, in load_checkpoint_guess_config
sd = comfy.utils.load_torch_file(ckpt_path)
File "D:\AI\ComfyUI\comfy\utils.py", line 13, in load_torch_file
sd = safetensors.torch.load_file(ckpt, device=device.type)
File "D:\AI\ComfyUI\venv\lib\site-packages\safetensors\torch.py", line 308, in load_file
with safe_open(filename, framework="pt", device=device) as f:
safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer

THtianhao commented

Please use the correct safetensor

opanterao commented

Please use the correct safetensor

Is there an issue with my model?

jakeytan commented

got prompt
Requested to load BaseModel
Loading 1 new model
ERROR:root:!!! Exception during processing !!!
ERROR:root:Traceback (most recent call last):
File "/home/jk/ComfyUI/execution.py", line 155, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/jk/ComfyUI/execution.py", line 85, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/home/jk/ComfyUI/execution.py", line 78, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/jk/ComfyUI/nodes.py", line 1355, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/home/jk/ComfyUI/nodes.py", line 1325, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/home/jk/ComfyUI/comfy/sample.py", line 93, in sample
real_model, positive_copy, negative_copy, noise_mask, models = prepare_sampling(model, noise.shape, positive, negative, noise_mask)
File "/home/jk/ComfyUI/comfy/sample.py", line 86, in prepare_sampling
comfy.model_management.load_models_gpu([model] + models, model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:])) + inference_memory)
File "/home/jk/ComfyUI/comfy/model_management.py", line 434, in load_models_gpu
cur_loaded_model = loaded_model.model_load(lowvram_model_memory)
File "/home/jk/ComfyUI/comfy/model_management.py", line 301, in model_load
raise e
File "/home/jk/ComfyUI/comfy/model_management.py", line 297, in model_load
self.real_model = self.model.patch_model(device_to=patch_model_to) #TODO: do something with loras and offloading to CPU
File "/home/jk/ComfyUI/comfy/model_patcher.py", line 210, in patch_model
self.model.to(device_to)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in to
return self._apply(convert)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
module._apply(fn)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
module._apply(fn)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply
module._apply(fn)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 833, in _apply
param_applied = fn(param)
File "/home/jk/ComfyUI/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1158, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: operation not supported
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Prompt executed in 0.12 seconds

jakeytan commented

Error occurred when executing KSampler: CUDA error: operation not supported CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. File "/home/jk/ComfyUI/execution.py", line 155, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/home/jk/ComfyUI/execution.py", line 85, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "/home/jk/ComfyUI/execution.py", line 78, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "/home/jk/ComfyUI/nodes.py", line 1355, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/home/jk/ComfyUI/nodes.py", line 1325, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "/home/jk/ComfyUI/comfy/sample.py", line 93, in sample real_model, positive_copy, negative_copy, noise_mask, models = prepare_sampling(model, noise.shape, positive, negative, noise_mask) File "/home/jk/ComfyUI/comfy/sample.py", line 86, in prepare_sampling comfy.model_management.load_models_gpu([model] + models, model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:])) + inference_memory) File "/home/jk/ComfyUI/comfy/model_management.py", line 434, in load_models_gpu cur_loaded_model = loaded_model.model_load(lowvram_model_memory) File "/home/jk/ComfyUI/comfy/model_management.py", line 301, in model_load raise e File "/home/jk/ComfyUI/comfy/model_management.py", line 297, in model_load self.real_model = self.model.patch_model(device_to=patch_model_to) #TODO: do something with loras and offloading to CPU File "/home/jk/ComfyUI/comfy/model_patcher.py", line 210, in patch_model self.model.to(device_to) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in to return self._apply(convert) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 833, in _apply param_applied = fn(param) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1158, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
Queue size: 0

THtianhao commented

Error occurred when executing KSampler: CUDA error: operation not supported CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. File "/home/jk/ComfyUI/execution.py", line 155, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/home/jk/ComfyUI/execution.py", line 85, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "/home/jk/ComfyUI/execution.py", line 78, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "/home/jk/ComfyUI/nodes.py", line 1355, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/home/jk/ComfyUI/nodes.py", line 1325, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "/home/jk/ComfyUI/comfy/sample.py", line 93, in sample real_model, positive_copy, negative_copy, noise_mask, models = prepare_sampling(model, noise.shape, positive, negative, noise_mask) File "/home/jk/ComfyUI/comfy/sample.py", line 86, in prepare_sampling comfy.model_management.load_models_gpu([model] + models, model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:])) + inference_memory) File "/home/jk/ComfyUI/comfy/model_management.py", line 434, in load_models_gpu cur_loaded_model = loaded_model.model_load(lowvram_model_memory) File "/home/jk/ComfyUI/comfy/model_management.py", line 301, in model_load raise e File "/home/jk/ComfyUI/comfy/model_management.py", line 297, in model_load self.real_model = self.model.patch_model(device_to=patch_model_to) #TODO: do something with loras and offloading to CPU File "/home/jk/ComfyUI/comfy/model_patcher.py", line 210, in patch_model self.model.to(device_to) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1160, in to return self._apply(convert) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 810, in _apply module._apply(fn) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 833, in _apply param_applied = fn(param) File "/home/jk/miniconda3/envs/tk/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1158, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) Queue size: 0

进群沟通吧，你这是comfyui的问题