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:
- 5a245408ab4ce29d860e455c15d34a88ace9a275df8920324c573d45794c0a19
- Size of remote file:
- 608 MB
- SHA256:
- 4bd18ae2f56c99ccc722b93c972c1583e63376fb2ed37d1d8cc6731e3026913b
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