# JoyAI-Image-Edit [JoyAI-Image](https://github.com/jd-opensource/JoyAI-Image) is a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing. It combines an 8B Multimodal Large Language Model (MLLM) with a 16B Multimodal Diffusion Transformer (MMDiT). A central principle of JoyAI-Image is the closed-loop collaboration between understanding, generation, and editing. JoyAI-Image-Edit supports general image editing as well as spatial editing capabilities including object move, object rotation, and camera control. | Model | Description | Download | |:-----:|:-----------:|:--------:| | JoyAI-Image-Edit | Instruction-guided image editing with precise and controllable spatial manipulation | [Hugging Face](https://huggingface.co/jdopensource/JoyAI-Image-Edit-Diffusers) | ```python import torch from diffusers import JoyImageEditPipeline from diffusers.utils import load_image pipeline = JoyImageEditPipeline.from_pretrained( "jdopensource/JoyAI-Image-Edit-Diffusers", dtype=torch.bfloat16 ) pipeline.to("cuda") image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg") prompt = "Add wings to the astronaut." output = pipeline( image=image, prompt=prompt, num_inference_steps=40, guidance_scale=4.0, generator=torch.Generator("cuda").manual_seed(0), ).images[0] output.save("joyimage_edit_output.png") ``` ## Spatial editing JoyAI-Image supports three spatial editing prompt patterns: **Object Move**, **Object Rotation**, and **Camera Control**. For best results, follow the prompt templates below as closely as possible. For more information, refer to [SpatialEdit](https://github.com/EasonXiao-888/SpatialEdit). ### Object Move Move a target object into a specified region marked by a red box in the input image. ```text Move the