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:
- 91ad8f04d039b72fdf590be76da1949dfbb8c6a71f23c0c8b64849bac7e70be2
- Size of remote file:
- 4.27 GB
- SHA256:
- 690e861a65e1f5139bd633d3ef5ad89aeb237aa12ff1bead0cb234041e6b1e33
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