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-Q4_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 10.6 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q4_K_S.gguf
-
curl -L -o Wan2.1-VACE-14B-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/0197b94fa96fbcf8522c4646499a6c99c832d8b8/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q4_K_S.gguf
10.6 GB
- Xet hash:
- 688cb6d8d746785f9b3c376dc508b95d8888e9f84b882a89c1b7dd321bce3faf
- Size of remote file:
- 10.6 GB
- SHA256:
- 4ffac58131d2dd6c0508783488ed43df801f1514c5438ecfa4c625da8573b25e
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