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:
- a22f1dc095800211f29f55f2fc252e8f1017ac290b11cd2b5b5980e15331b620
- Size of remote file:
- 1.49 MB
- SHA256:
- 9b6f69dcbf048c4d24567e409bb6d5e010fea07d38b1f68c30df1193d679ec0b
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