Instructions to use diffusers/stable-diffusion-2-1-unclip-i2i-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/stable-diffusion-2-1-unclip-i2i-l with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-2-1-unclip-i2i-l", 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
- Xet hash:
- 406c21c9d8c789b894b35569da0b7495872d6f820b5e4a428738a8b13b124d34
- Size of remote file:
- 1.36 GB
- SHA256:
- 7ec178e5f07ed24deb82bf41fdfde9392c0471755d5bf8d0576b21d7c6dafd46
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