Instructions to use msoz7/stableDiffusionAll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msoz7/stableDiffusionAll with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("msoz7/stableDiffusionAll", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 6de2f521161eb2abd4272c55ede2e77f82356db364bef637093be42b1c46081f
- Size of remote file:
- 492 MB
- SHA256:
- df049e6406596056a489bc1ffb0fc81898aa6fa69971157d37af0384eb169bf6
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