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
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,7 +17,7 @@ language:
|
|
| 17 |
|
| 18 |
# InstructCLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
|
| 19 |
|
| 20 |
-
GitHub: https://github.com/SherryXTChen/
|
| 21 |
|
| 22 |
## Example
|
| 23 |
|
|
|
|
| 17 |
|
| 18 |
# InstructCLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
|
| 19 |
|
| 20 |
+
GitHub: https://github.com/SherryXTChen/Instruct-CLIP.git
|
| 21 |
|
| 22 |
## Example
|
| 23 |
|