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 /clip_vision /open-clip-xlm-roberta-large-vit-huge-14_visual_fp16.safetensors
- Xet hash:
- ef3e109d2bdc962a0729f7dc9508a9d63abcbbe54c500bb947afaa3c53e6dbdb
- Size of remote file:
- 1.26 GB
- SHA256:
- b0d8d80a37826639eeecd9d7cb972a8b387215c3d26e4f0b8e415a1c97b343da
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