Instructions to use jdopensource/JoyAI-Image-Edit-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Image-Edit-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-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
Upload README.md with huggingface_hub
Browse files
README.md
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#### Install the [Pull Request](https://github.com/huggingface/diffusers/pull/13444]) of JoyAI-Image-Edit of diffusers
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```
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pip install git+https://github.com/huggingface/diffusers.git@refs/pull/13444
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```
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#### Running with Diffusers
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```
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import torch
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from PIL import Image
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#### Install the [Pull Request](https://github.com/huggingface/diffusers/pull/13444]) of JoyAI-Image-Edit of diffusers
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```bash
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pip install git+https://github.com/huggingface/diffusers.git@refs/pull/13444
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```
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#### Running with Diffusers
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```python
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import torch
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from PIL import Image
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