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
ComfyUI-Auto-Installer-Assets / models /diffusion_models /WAN /Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors
Download models/diffusion_models/WAN/Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 16.6 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/114e387384ec77da4dadc9b0d0b1c384a47639c1/models/diffusion_models/WAN/Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@114e387384ec77da4dadc9b0d0b1c384a47639c1/models/diffusion_models/WAN/Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors
-
curl -L -o Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/114e387384ec77da4dadc9b0d0b1c384a47639c1/models/diffusion_models/WAN/Wan2.1-Fun-V1_1-InP-14B_fp8_e4m3fn.safetensors
16.6 GB
- Xet hash:
- 4408b15db46fd6dbe8b4576e01cc1c35c63587ef1d82460c5bd69620497938e7
- Size of remote file:
- 16.6 GB
- SHA256:
- 765adec2b141836cbf7a163a4a6b346fd31dda5966654b31d937c2ba241c45dd
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