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/clip/Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 3.49 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf
-
curl -L -o Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/6abc987d8154a02cc056cbf71c8efa3e0a23eb72/models/clip/Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf
3.49 GB
- Xet hash:
- 7c73fec52ae87498f814c28c7c11285e43f8ad18746eb141d8d9d36bd4d9b098
- Size of remote file:
- 3.49 GB
- SHA256:
- f97a0499cdd90bc4ff467a365d779493c10f906144b26c8e7b6fa924afbb808c
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