** ComfyUI start up time: 2023-11-13 17:38:24.795915

Prestartup times for custom nodes:
   0.0 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager

Total VRAM 10240 MB, total RAM 64664 MB
xformers version: 0.0.22.post7+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
VAE dtype: torch.bfloat16
Using xformers cross attention
### Loading: ComfyUI-Manager (V0.30.4)
### ComfyUI Revision: 1677 [4aeef781]

Import times for custom nodes:
   0.0 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_stable_fast
   0.0 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-WD14-Tagger
   0.3 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager

Starting server

To see the GUI go to: http://127.0.0.1:8188
FETCH DATA from: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json
got prompt
model_type EPS
adm 2816
Using xformers attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using xformers attention in VAE
missing {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
triton not installed, skip
Requested to load SDXLClipModel
Loading 1 new model
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()
Requested to load SDXL
Loading 1 new model
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:157: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  obj_type = tensors[start].item()
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:216: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  size = tensors[start].item()
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:226: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  size = tensors[start].item()
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:212: TracerWarning: Converting a tensor to a Python list might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  return bytes(tensors[start].tolist()), start + 1
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:203: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  return int(tensors[start].item()), start + 1
D:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py:619: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  assert y.shape[0] == x.shape[0]
D:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py:125: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  assert x.shape[1] == self.channels
D:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py:83: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  assert x.shape[1] == self.channels
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\sfast\utils\flat_tensors.py:21: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
  return torch.tensor([num], dtype=torch.int64)
D:\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\cuda\graphs.py:88: UserWarning: The CUDA Graph is empty. This usually means that the graph was attempted to be captured on wrong device or stream. (Triggered internally at ..\aten\src\ATen\cuda\CUDAGraph.cpp:193.)
  super().capture_end()

100%|██████████████████████████████████████████████████████████████████████████████████| 55/55 [08:32<00:00,  1.50it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 55/55 [08:32<00:00,  9.32s/it]
[93mWarning: Your graphics card doesn't have enough video memory to keep the model. Disable stable fast cuda graph, Flexibility will be improved but speed will be lost.[0m
Prompt executed in 517.57 seconds