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", 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:
- 5477dd93a3a588b853a4fb198508a0374d2a469421e0cc09b59cd08b65cb7520
- Size of remote file:
- 5.83 MB
- SHA256:
- fc95d2967ea57a11e0975646aca6ff2cc36a906ff60b4cfdb4388b5b2beea6f6
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