Image-to-Image
Diffusers
English
stable-diffusion
stable-diffusion-diffusers
text-to-image
diffusers-training
Instructions to use SherryXTChen/InstructCLIP-InstructPix2Pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SherryXTChen/InstructCLIP-InstructPix2Pix 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("SherryXTChen/InstructCLIP-InstructPix2Pix", 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
Add image-to-image pipeline tag
#1
by nielsr HF Staff - opened
This PR adds the image-to-image pipeline tag to the model card metadata, improving discoverability of this model. The model performs image editing based on text instructions, making this tag highly relevant.
SherryXTChen changed pull request status to merged