Instructions to use sd2-community/stable-diffusion-2-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd2-community/stable-diffusion-2-1-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd2-community/stable-diffusion-2-1-base", 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:
- 7247de3f3cfd9cd742c5b07ec5c31ff265f194587f14242683a790213e03e61f
- Size of remote file:
- 5.21 GB
- SHA256:
- 34dccb9e60d83a4ef963f51e9ff63548323a70024f8679095956d7c403b3ef4a
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