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-Q4_K_S.gguf from UmeAiRT/ComfyUI-Auto-Installer-Assets: direct link, hf CLI and curl.
- Browser
- Download file 4.46 GB
-
https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/98f44a7b6b4e594fce1fe1bf38224f2011ecbcb9/models/clip/Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf
- Command line
-
hf download hf://UmeAiRT/ComfyUI-Auto-Installer-Assets@98f44a7b6b4e594fce1fe1bf38224f2011ecbcb9/models/clip/Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf
-
curl -L -o Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf https://huggingface.co/UmeAiRT/ComfyUI-Auto-Installer-Assets/resolve/98f44a7b6b4e594fce1fe1bf38224f2011ecbcb9/models/clip/Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf
4.46 GB
- Xet hash:
- 576b35a14a3d7c1a311f3fcab6eb4b900d0d554d587aee7ae247c1763427aa2e
- Size of remote file:
- 4.46 GB
- SHA256:
- 9c321c842605a0cf58f3b7cd6a234f0e0ae3fa9368ecf38d2f083fb3991966b1
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