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/unet/FLUX/flux1-dev-Q4_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.81 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d5b4d3ead39529d48e04a6c0cc2c3aec68ec268c/models/unet/FLUX/flux1-dev-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@d5b4d3ead39529d48e04a6c0cc2c3aec68ec268c/models/unet/FLUX/flux1-dev-Q4_K_S.gguf
-
curl -L -o flux1-dev-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/d5b4d3ead39529d48e04a6c0cc2c3aec68ec268c/models/unet/FLUX/flux1-dev-Q4_K_S.gguf
6.81 GB
- Xet hash:
- 15c62c8273bdd9ec66606fe4d191c12db3fa0a0ab514c2a46f0297567d6535c9
- Size of remote file:
- 6.81 GB
- SHA256:
- 75bb19459b5240c9f373b5af527584af15b675867fa142efadf7478d6abbf62b
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