Instructions to use diffusers/pix2pix-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/pix2pix-sd 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/pix2pix-sd", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 30148dbf7f78bef31a027014c47745e291cb8982d5b060afa687e393fa635323
- Size of remote file:
- 3.44 GB
- SHA256:
- b83d6c874bc598364d113910c8d5a521eb83550fcecc0b4ddd2472c6de4323db
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