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:
- da76a4401283f557055c68529e350ae71895172d522b0180b1f526f80be07785
- Size of remote file:
- 7.34 kB
- SHA256:
- 68f8c892a0df2c64cb99cb7ffb826d2e7dac3775683fdd5a7436c25495a2a319
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