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
Commit History
-
Update README.md
Verified signature65a8ae0
-
Update README.md
Verified signature2bea164 -
Add image-to-image pipeline tag (#1)
Verified signature- Add image-to-image pipeline tag (f075c03384f3545a6e86bfe3df9e4e9fab656760) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>56e0324 -
link to paper
Verified signature11dcc3a -
Update README.md
Verified signaturef9cfe0e
-
Create .gitattributes
Verified signatured24fbee -
Update README.md
Verified signature554a215 -
Update README.md
Verified signature19e942b -
Delete .gitattributes
Verified signature809f40a -
Delete checkpoint-15000
Verified signature86ac7ee -
End of training
Verified signature0ced07b -
initial commit
Verified signature5a70964