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README.md

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JoyAI-Image-Edit
_{^{Awakening Spatial Intelligence in Unified Multimodal Understanding and Generation}}

License

🐶 JoyAI-Image-Edit

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

Core Dependencies

The transformers version must be between 4.57 and 4.58; otherwise, incorrect results may occur.

Package	Version	Purpose
`torch`	>= 2.8	PyTorch
`transformers`	>= 4.57.0, < 4.58.0	Text encoder
`torchvison`	-	Image process
`einops`	-	Tensor manipulation

Install the Pull Request of JoyAI-Image-Edit of diffusers

pip install git+https://github.com/huggingface/diffusers.git@refs/pull/13444/head

Or install from this repo (PR will merge to diffusers main branch soon)

bash

pip install torch==2.8 transformers==4.57.6 torchvision einops

pip install git+https://github.com/Moran232/diffusers.git@joyimage_edit

Running with Diffusers

python

import torch
from PIL import Image

from diffusers import JoyImageEditPipeline

pipeline = JoyImageEditPipeline.from_pretrained("jdopensource/JoyAI-Image-Edit-Diffusers")
pipeline.to(torch.bfloat16)
pipeline.to("cuda")
pipeline.set_progress_bar_config(disable=None)
print("pipeline loaded")

img_path = "./test_images/input.png"
prompt = "Move the board into the red box and finally remove the red box."

image = Image.open(img_path).convert("RGB")
prompts = [f"<|im_start|>user\n<image>\n{prompt}<|im_end|>\n"]

inputs = {
    "image": image,
    "prompt": prompts,
    "generator": torch.manual_seed(0),
    "num_inference_steps": 30,
    "guidance_scale": 4.0,
}

print("run pipeline...")

with torch.inference_mode():
    output = pipeline(**inputs)
    image = output.images[0]
    image.save("joyai_image_edit_output.png")
    print("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

Move the camera.
- Camera rotation: Yaw {y_rotation}°, Pitch {p_rotation}°.
- Camera zoom: in/out/unchanged.
- 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

Move the camera.
- Camera rotation: Yaw 45°, Pitch 0°.
- Camera zoom: in.
- Keep the 3D scene static; only change the viewpoint.

text

Move the camera.
- Camera rotation: Yaw 0.0°, Pitch -15.0°.
- Camera zoom: unchanged.
- 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

Moran232/README.md

JoyAI-Image-EditAwakening Spatial Intelligence in Unified Multimodal Understanding and Generation

🐶 JoyAI-Image-Edit

🚀 Quick Start

Core Dependencies

Install the Pull Request of JoyAI-Image-Edit of diffusers

Or install from this repo (PR will merge to diffusers main branch soon)

Running with Diffusers

More Usages

Spatial Editing Reference

1. Object Move

2. Object Rotation

3. Camera Control

License Agreement

☎️ We're Hiring!

Moran232/
README.md

JoyAI-Image-Edit
_{^{Awakening Spatial Intelligence in Unified Multimodal Understanding and Generation}}