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/FLUX/Flux1-Canny-Dev-Q5_0.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 8.28 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/FLUX/Flux1-Canny-Dev-Q5_0.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/FLUX/Flux1-Canny-Dev-Q5_0.gguf
-
curl -L -o Flux1-Canny-Dev-Q5_0.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/dc426751977654a2d19b184097259dcfc9426928/models/diffusion_models/FLUX/Flux1-Canny-Dev-Q5_0.gguf
8.28 GB
- Xet hash:
- d3aaaa75890739a0328638159315c07e1685635091be14f1ce592e214121bd1a
- Size of remote file:
- 8.28 GB
- SHA256:
- 442acd4a732f244e043e997bb6cf05bff79ecb65c08e3d7a19cbefcab63ec57c
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