[feat] JoyAI-JoyImage-Edit support

[Moran232]

Description

We are the JoyAI Team, and this is the Diffusers implementation for the JoyAI-Image-Edit model.

GitHub Repository: [https://github.com/jd-opensource/JoyAI-Image]
Hugging Face Model: [https://huggingface.co/jdopensource/JoyAI-Image-Edit-Diffusers]
Original opensource weights [https://huggingface.co/jdopensource/JoyAI-Image-Edit]
Fixes #13430

Model Overview

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).

Kye Features

• Advanced Text Rendering Showcase: JoyAI-Image is optimized for challenging text-heavy scenarios, including multi-panel comics, dense multi-line text, multilingual typography, long-form layouts, real-world scene text, and handwritten styles.
• Multi-view Generation and Spatial Editing Showcase: JoyAI-Image showcases a spatially grounded generation and editing pipeline that supports multi-view generation, geometry-aware transformations, camera control, object rotation, and precise location-specific object editing. Across these settings, it preserves scene content, structure, and visual consistency while following viewpoint-sensitive instructions more accurately.
• Spatial Editing for Spatial Reasoning Showcase: JoyAI-Image poses high-fidelity spatial editing, serving as a powerful catalyst for enhancing spatial reasoning. Compared with Qwen-Image-Edit and Nano Banana Pro, JoyAI-Image-Edit synthesizes the most diagnostic viewpoints by faithfully executing camera motions. These high-fidelity novel views effectively disambiguate complex spatial relations, providing clearer visual evidence for downstream reasoning.

Image edit examples