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 /FLUX /svdq-int4_r32-flux.1-krea-dev.safetensors
Download models/diffusion_models/FLUX/svdq-int4_r32-flux.1-krea-dev.safetensors from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 6.77 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/2feea6da732040a0967c59bc1e2d3d2d614f950d/models/diffusion_models/FLUX/svdq-int4_r32-flux.1-krea-dev.safetensors
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@2feea6da732040a0967c59bc1e2d3d2d614f950d/models/diffusion_models/FLUX/svdq-int4_r32-flux.1-krea-dev.safetensors
-
curl -L -o svdq-int4_r32-flux.1-krea-dev.safetensors https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/2feea6da732040a0967c59bc1e2d3d2d614f950d/models/diffusion_models/FLUX/svdq-int4_r32-flux.1-krea-dev.safetensors
6.77 GB
- Xet hash:
- 72a278335cdc12411300795fc65751e8b571fceb92908b419d8044256717ef45
- Size of remote file:
- 6.77 GB
- SHA256:
- c1dffa6bf3ffe935092818c5135bf66e0cdd4a934afc3a8f3e1e99aa74a1ecf5
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