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Number of frames available for inference: 936 then no run #99
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My system is windows11+wsl+utuntu, many slowly |
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(base) root@zhixingren:
# cd automatic1111-stable-diffusion-webui/automatic1111-stable-diffusion-webui# python launch.py(base) root@zhixingren:
Python 3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0]
Commit hash: 0cc0ee1bcb4c24a8c9715f66cede06601bfc00c8
Installing requirements for Web UI
Installing wav2lip_uhq requirement: dlib-bin
Installing wav2lip_uhq requirement: opencv-python
Installing wav2lip_uhq requirement: pillow
Installing wav2lip_uhq requirement: librosa==0.10.0.post2
Installing wav2lip_uhq requirement: opencv-contrib-python
Installing wav2lip_uhq requirement: git+https://github.com/suno-ai/bark.git
Installing wav2lip_uhq requirement: insightface==0.7.3
Installing wav2lip_uhq requirement: onnx==1.14.0
Installing wav2lip_uhq requirement: onnxruntime==1.15.0
Installing wav2lip_uhq requirement: onnxruntime-gpu==1.15.0
Installing wav2lip_uhq requirement: opencv-python>=4.8.0
Launching Web UI with arguments:
/root/miniconda3/lib/python3.11/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
No module 'xformers'. Proceeding without it.
Loading weights [6ce0161689] from /root/automatic1111-stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Creating model from config: /root/automatic1111-stable-diffusion-webui/configs/v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying cross attention optimization (Doggettx).
Textual inversion embeddings loaded(0):
Model loaded in 5.2s (load weights from disk: 0.4s, create model: 0.4s, apply weights to model: 3.2s, apply half(): 0.2s, move model to device: 0.5s, load textual inversion embeddings: 0.4s).
Running on local URL: https://127.0.0.1:7860
To create a public link, set
share=True
inlaunch()
.then i run it,
To create a public link, set
share=True
inlaunch()
.Using cuda for inference.
Reading video frames...
Number of frames available for inference: 936
(80, 1321)
Length of mel chunks: 491
0%| | 0/4 [00:00<?, ?it/s] 0%| | 0/31 [00:00<?, ?it/s]
no run down ,help
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