Instructions to use ussari/comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ussari/comp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ussari/comp", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7f9dfc22a758e50128bde4d9d4eb6cc21c3d17402f43ca25b462b3c651babffd
- Size of remote file:
- 335 MB
- SHA256:
- 703abdcd7c389316b5128faa9b750a530ea1680b453170b27afebac5e4db30c4
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