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-T2V-14B-Q6_K.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 12.5 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q6_K.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q6_K.gguf
-
curl -L -o Wan2.1-T2V-14B-Q6_K.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/73b7161c2aa8e18def568ce25c247db38f422f88/models/diffusion_models/WAN/Wan2.1-T2V-14B-Q6_K.gguf
12.5 GB
- Xet hash:
- d7e10971d24aca548d108b6c793cc8b978a23d9766d091865f483bd97c2b316c
- Size of remote file:
- 12.5 GB
- SHA256:
- cce46ed3d8e6a96c1c88bab8a70b31b91ab328b86d8235b2a1039c226104d9de
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