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 /tensorrt /upscaler /4x-UltraSharp_fp16_1x3x256x256_1x3x512x512_1x3x1280x1280_10.10.0.31.trt
- Xet hash:
- 68fc8b5ed51cf413f9fcaefab787cf88979302b57a67531c0975792bb41816ff
- Size of remote file:
- 37.6 MB
- SHA256:
- 9fcd107e82f964bb00e9728100d3d20280bd5576ed77aeba9ee2d4d4512fb637
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