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:
- 01711726dbb210a66f5c32f716fe6c5572928a10a409be8153bfe13d77dd9765
- Size of remote file:
- 6.31 kB
- SHA256:
- aeac478227b2f987af0addfe3b7417a2a7ff0bde5b8f5e5b08de9244c30a00c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.