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:
- f47dcef340dcec89af294b2e60c0da32a8c421f965f56cea792968b89e2a7223
- Size of remote file:
- 492 MB
- SHA256:
- e30e826a12c63c5881d98fe40008fe80c47246961e502df65d9df1b0513e6e88
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