JoyAI-Image-Edit is a multimodal foundation model specialized in instruction-guided image editing. It enables precise and controllable edits by leveraging strong spatial understanding, including scene parsing, relational grounding, and instruction decomposition, allowing complex modifications to be applied accurately to specified regions.
🚀 Quick Start
Requirements: Python >= 3.10, CUDA-capable GPU
Install
Note: JoyImageEditPipeline will be included in the next official diffusers release (>0.38.0). Until then, install from source as shown above.
1import torch
2from PIL import Image
34from diffusers import JoyImageEditPipeline
56pipeline = JoyImageEditPipeline.from_pretrained("jdopensource/JoyAI-Image-Edit-Diffusers")7pipeline.to(torch.bfloat16)8pipeline.to("cuda")9pipeline.set_progress_bar_config(disable=None)10print("pipeline loaded")1112img_path ="./test_images/input.png"13prompt ="Remove the construction structure from the top of the crane."14image = Image.open(img_path).convert("RGB")1516inputs ={17"image": image,18"prompt": prompt,19"generator": torch.manual_seed(0),20"num_inference_steps":40,21"guidance_scale":4.0,22}2324print("run pipeline...")2526with torch.inference_mode():27 output = pipeline(**inputs)28 image = output.images[0]29 image.save("joyai_image_edit_output.png")30print("image saved.")
More Usages
Spatial Editing Reference
JoyAI-Image supports three spatial editing prompt patterns: Object Move, Object Rotation, and Camera Control. For the most stable behavior, we recommend following the prompt templates below as closely as possible.
1. Object Move
Use this pattern when you want to move a target object into a specified region.
Prompt template:
Move the <object> into the red box and finally remove the red box.
Rules:
Replace <object> with a clear description of the target object to be moved.
The red box indicates the target destination in the image.
The phrase "finally remove the red box" means the guidance box should not appear in the final edited result.
Example:
Move the board into the red box and finally remove the red box.
2. Object Rotation
Use this pattern when you want to rotate an object to a specific canonical view.
Prompt template:
Rotate the <object> to show the <view> side view.
Supported <view> values:
front
right
left
rear
front right
front left
rear right
rear left
Rules:
Replace <object> with a clear description of the object to rotate.
Replace <view> with one of the supported directions above.
This instruction is intended to change the object orientation, while keeping the object identity and surrounding scene as consistent as possible.
Examples:
Rotate the dog to show the left side view.
3. Camera Control
Use this pattern when you want to change only the camera viewpoint while keeping the 3D scene itself unchanged.
Prompt template:
text
1Move the camera.
2- Camera rotation: Yaw {y_rotation}°, Pitch {p_rotation}°.
3- Camera zoom: in/out/unchanged.
4- Keep the 3D scene static; only change the viewpoint.
Rules:
{y_rotation} specifies the yaw rotation angle in degrees.
{p_rotation} specifies the pitch rotation angle in degrees.
Camera zoom must be one of:
in
out
unchanged
The last line is important: it explicitly tells the model to preserve the 3D scene content and geometry, and only adjust the camera viewpoint.
Examples:
text
1Move the camera.
2- Camera rotation: Yaw 0.0°, Pitch -15.0°.
3- Camera zoom: unchanged.
4- Keep the 3D scene static; only change the viewpoint.
License Agreement
JoyAI-Image is licensed under Apache 2.0.
☎️ We're Hiring!
We are actively hiring Research Scientists, AI Infra Engineers, and Interns to join us in building next-generation generative foundation models and bringing them into real-world applications. If you’re interested, please send your resume to: huanghaoyang.ocean@jd.com
