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
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README.md
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base_model:
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- Qwen/Qwen3-VL-8B-Instruct
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---
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-
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# JoyAI-Image Edit Plus
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JoyAI-Image Edit Plus is a multi-image instruction-guided editing model from the [JoyAI-Image](https://github.com/jd-opensource/JoyAI-Image) family. It accepts **multiple reference images** and a text instruction to generate a new image that combines elements from the references according to the instruction.
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## Model Details
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- **Developed by**:
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- **License**: Apache-2.0
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- **Diffusers version**: >= 0.39.0
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- **Framework**: PyTorch
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base_model:
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- Qwen/Qwen3-VL-8B-Instruct
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# JD Open Source - Open Technology, Shared Future.
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[中文](./README_CN.md)
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## Our Mission
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We are dedicated to empowering developers and enterprises through open technology, collectively building an efficient,
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reliable, and innovative tech ecosystem. We believe that open source is a bridge connecting technology with the
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community, accelerating technological accessibility and value creation.
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## Our Governance
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Our open-source projects operate under a transparent governance model, ensuring their healthy and sustainable growth.
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We are guided by:
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- Open Decision-Making: All major technical decisions are openly discussed within the community.
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We welcome feedback and suggestions from everyone.
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- Meritocracy: Roles and permissions are based on an individual's contributions to the project.
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Anyone who consistently contributes has the opportunity to become a core maintainer.
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- Code of Conduct: We strictly adhere to our Code of Conduct to ensure a friendly, inclusive,
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and respectful community for all.
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## How to Get Involved
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We welcome everyone with a passion for technology to join our community, whether you are a seasoned developer or
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just starting out. Here are a few ways you can contribute:
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- Submit an Issue: Found a bug or have a new feature idea? Feel free to open an issue in our project repositories.
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- Contribute Code: Submit your code fixes or new features via a Pull Request. Please read the project's contribution
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guide first.
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- Improve Documentation: Help us translate or improve our documentation to benefit more users.
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- Join the Discussion: Participate in our community forums or chat groups to share your thoughts and experiences.
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## Our Projects
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You can find all our open-source projects here https://github.com/jd-opensource, or visit our homepage for more information.
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## Contact Us
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org.ospo1@jd.com
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# JoyAI-Image Edit Plus
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JoyAI-Image Edit Plus is a multi-image instruction-guided editing model from the [JoyAI-Image](https://github.com/jd-opensource/JoyAI-Image) family. It accepts **multiple reference images** and a text instruction to generate a new image that combines elements from the references according to the instruction.
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## Model Details
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- **Developed by**: Sky Meilin
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- **License**: Apache-2.0
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- **Diffusers version**: >= 0.39.0
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- **Framework**: PyTorch
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