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-Q5_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 12.3 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q5_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q5_K_S.gguf
-
curl -L -o Wan2.1-VACE-14B-Q5_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/a2c3629407cf47bf7a6ef36a5cf3a856c3f94bc0/models/diffusion_models/WAN/Wan2.1-VACE-14B-Q5_K_S.gguf
12.3 GB
- Xet hash:
- 45e561b83b5964f0144edbb673d99ab1b7067804cb62475944fcbc302e369923
- Size of remote file:
- 12.3 GB
- SHA256:
- 66dde54e0e74940dc3cb8d1f1ebc841ebc0df26a8fdab1fbd09b5b2178184e06
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