Image-to-Image
Diffusers
StableDiffusionInstructPix2PixPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use instruction-tuning-sd/scratch-low-level-img-proc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use instruction-tuning-sd/scratch-low-level-img-proc 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("instruction-tuning-sd/scratch-low-level-img-proc", 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
Download vae/diffusion_pytorch_model.bin from instruction-tuning-sd/scratch-low-level-img-proc: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/instruction-tuning-sd/scratch-low-level-img-proc/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://instruction-tuning-sd/scratch-low-level-img-proc/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/instruction-tuning-sd/scratch-low-level-img-proc/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 0bc7582a5235e95913604ff8fc6021c2ab6926211404f48e3404c25119948d05
- Size of remote file:
- 167 MB
- SHA256:
- 3524731ccb7c457ec5481e252c774463677e51ef4df7fccb6f88534b632acf92
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