JoyAI-Image-Edit
Awakening Spatial Intelligence in Unified Multimodal Understanding and Generation

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## 🐶 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 ### 1. Environment Setup **Requirements**: Python >= 3.10, CUDA-capable GPU Create a virtual environment and install: ```bash git clone https://github.com/jd-opensource/JoyAI-Image cd JoyAI-Image conda create -n joyai python=3.10 -y conda activate joyai pip install -e . ``` > **Note on Flash Attention**: `flash-attn >= 2.8.0` is listed as a dependency for best performance. #### Core Dependencies | Package | Version | Purpose | |---------|---------|---------| | `torch` | >= 2.8 | PyTorch | | `transformers` | >= 4.57.0, < 4.58.0 | Text encoder | | `diffusers` | >= 0.34.0 | Pipeline utilities | | `flash-attn` | >= 2.8.0 | Fast attention kernel | ### 2. Inference #### Image Editing ```bash python inference.py \ --ckpt-root /path/to/ckpts_infer \ --prompt "Turn the plate blue" \ --image test_images/test_1.jpg \ --output outputs/result.png \ --seed 123 \ --steps 30 \ --guidance-scale 5.0 \ --basesize 1024 ``` --- ### CLI Reference (`inference.py`) | Argument | Type | Default | Description | |----------|------|---------|-------------| | `--ckpt-root` | str | *required* | Checkpoint root | | `--prompt` | str | *required* | Edit instruction or T2I prompt | | `--image` | str | None | Input image path (required for editing, omit for T2I) | | `--output` | str | `example.png` | Output image path | | `--steps` | int | 50 | Denoising steps | | `--guidance-scale` | float | 5.0 | Classifier-free guidance scale | | `--seed` | int | 42 | Random seed for reproducibility | | `--neg-prompt` | str | `""` | Negative prompt | | `--basesize` | int | 1024 | Bucket base size for input image resizing (256/512/768/1024) | | `--config` | str | auto | Config path; defaults to `/infer_config.py` | | `--rewrite-prompt` | flag | off | Enable LLM-based prompt rewriting | | `--rewrite-model` | str | `gpt-5` | Model name for prompt rewriting | | `--hsdp-shard-dim` | int | 1 | FSDP shard dimension for multi-GPU (set to GPU count) | ### 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:** ```text Move the into the red box and finally remove the red box. ``` **Rules:** * Replace `` 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:** ```text Move the apple 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:** ```text Rotate the to show the side view. ``` **Supported `` values:** * `front` * `right` * `left` * `rear` * `front right` * `front left` * `rear right` * `rear left` **Rules:** * Replace `` with a clear description of the object to rotate. * Replace `` 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:** ```text Rotate the chair to show the front side view. Rotate the car to show the rear 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 -90°, Pitch 20°. - 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, 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](mailto:huanghaoyang.ocean@jd.com)