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:
- 22c8a61b3023d01c165d737b0af051db64de3113df4205ffe01c312f5c3614bf
- Size of remote file:
- 681 MB
- SHA256:
- 06fd9b6057975f82ef7d9190ef15c45ec993c4dcac546c5678921559c7fb2a42
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