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-Kontext-Dev-Q4_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.8 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/e473ea02988f2a199214024219ae31c38ce2aad3/models/diffusion_models/FLUX/Flux1-Kontext-Dev-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@e473ea02988f2a199214024219ae31c38ce2aad3/models/diffusion_models/FLUX/Flux1-Kontext-Dev-Q4_K_S.gguf
-
curl -L -o Flux1-Kontext-Dev-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/e473ea02988f2a199214024219ae31c38ce2aad3/models/diffusion_models/FLUX/Flux1-Kontext-Dev-Q4_K_S.gguf
6.8 GB
- Xet hash:
- cb67544bc204f7cf1a207c27508198aca64863ca480edb9ff6b1f7a503928675
- Size of remote file:
- 6.8 GB
- SHA256:
- cc22ff7a2debb02e63765fa53af8c5ae0b6883b462d0601b9b55f51a15cdd6da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.