Instructions to use rexwang8/stellar-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rexwang8/stellar-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rexwang8/stellar-diffusion", 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:
- ff140d1928a2b4a0115b5f4d42de348086c65958608b25a7aef4bfe8d4fd80eb
- Size of remote file:
- 16.1 MB
- SHA256:
- 347dd05181f2b1803d260d4c8d7e00a31ab7c612f28ded84ac2ab32867034627
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