Instructions to use hf-internal-testing/tiny-stable-diffusion-pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-stable-diffusion-pix2pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-pix2pix", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d318df3246d2136f2e5af2fe01e59b9a7bbf505fd9cfcf5260e3a3d994fe6ec
- Size of remote file:
- 2.68 MB
- SHA256:
- 56861600bf1a29357ccb828f66ed2a1747b9026c894ab47aaacb082b20673f41
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