Instructions to use jdopensource/JoyAI-Image-Edit-Plus-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Image-Edit-Plus-Diffusers 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("jdopensource/JoyAI-Image-Edit-Plus-Diffusers", 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 examples/input_0.png from jdopensource/JoyAI-Image-Edit-Plus-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.27 MB
-
https://huggingface.co/jdopensource/JoyAI-Image-Edit-Plus-Diffusers/resolve/refs%2Fpr%2F4/examples/input_0.png
- Command line
-
hf download hf://jdopensource/JoyAI-Image-Edit-Plus-Diffusers@refs/pr/4/examples/input_0.png
-
curl -L -o input_0.png https://huggingface.co/jdopensource/JoyAI-Image-Edit-Plus-Diffusers/resolve/refs%2Fpr%2F4/examples/input_0.png
1.27 MB

- Xet hash:
- b829e2c570a050664ccc08623fa7e0e739424ebd572b2370e632d084d6c7ef5e
- Size of remote file:
- 1.27 MB
- SHA256:
- 24248026e21927428ea239ce9c5361c958e6c81d900240e5d71c47af735b3cf8
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