Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download models/diffusion_models/WAN/Wan2.1-VACE-14B-Q6_K.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 14.5 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q6_K.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q6_K.gguf
-
curl -L -o Wan2.1-VACE-14B-Q6_K.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q6_K.gguf
14.5 GB
- Xet hash:
- 75ae3422b9fc2af64f4e8300cf24b7dd0749abc2ceec503cf63ade8b5143443f
- Size of remote file:
- 14.5 GB
- SHA256:
- 2d7b6937bfebaad58de5c6c418e9efbaa8686caaf4946718bf416752ccd7e751
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