FireRed Image Edit AI Model
Use the FireRed Image Edit AI model online ? Xiaohongshu FireRed's open-source instruction-driven image editing model for add, remove, replace, background, stylize, text, restoration, portrait makeup, multi-image fusion, and virtual try-on. Built on Diffusion Transformer with bilingual Chinese-English support. Try the model in FireRed Image Edit AI Image Generator.
FireRed Image Edit AI Model Online
FireRed Image Edit is a general-purpose image editing model developed by Xiaohongshu's FireRed team. Built on Diffusion Transformer (DiT) architecture with Qwen2.5-VL as the vision-language encoder, it natively extends text-to-image generation into editing — not a post-hoc add-on. The model supports bilingual Chinese-English instructions and covers 10 editing categories: Add, Adjust, Replace, Remove, Background, Stylize, Text, Restoration, Multi-Image, and Virtual Try-on. It achieves state-of-the-art open-source results on REDEdit-Bench, ImgEdit, and GEdit benchmarks. Version 1.1 further enhances portrait consistency, multi-element fusion, stylized text rendering, and portrait makeup. Licensed under Apache-2.0 for commercial use.
10 Editing Capabilities
Add
Add new objects or elements to images. The model understands spatial context, lighting, and perspective to seamlessly integrate new elements into existing scenes.
Adjust
Modify attributes like color, lighting, expression, and texture. Fine-tune visual properties while maintaining overall image coherence and natural appearance.
Replace
Swap specific objects in images with alternatives. The replacement automatically adapts to surrounding context, matching lighting, shadows, and perspective.
Remove
Clean removal of unwanted elements with intelligent inpainting. The model fills removed areas with contextually appropriate content, preserving scene integrity.
Background
Replace or transform backgrounds while perfectly preserving foreground subjects. Automatic lighting and shadow adjustment ensures photorealistic composites.
Stylize
Apply artistic styles — anime, oil painting, vintage film, and more — while preserving subject identity and facial features. Goes beyond simple filters.
FireRed Image Edit FAQ
FireRed Image Edit AI Model FAQ
FireRed Image Edit is an open-source, instruction-driven AI image editing model developed by Xiaohongshu's FireRed team. Built on Diffusion Transformer (DiT) architecture with Qwen2.5-VL as the vision-language encoder, it covers 10 editing categories: Add, Adjust, Replace, Remove, Background, Stylize, Text, Restoration, Multi-Image, and Virtual Try-on. Licensed under Apache-2.0 for commercial use.
The 10 categories are: Add (insert new elements), Adjust (modify attributes like color/lighting/expression), Replace (swap objects), Remove (delete unwanted elements), Background (scene replacement), Stylize (artistic style transfer), Text (edit text preserving font style), Restoration (old photo repair), Multi-Image (up to 3 reference images), and Virtual Try-on (clothing swap).
Version 1.1 brings four major improvements: enhanced portrait consistency with reduced identity drift, native multi-image conditioning for more reliable identity transfer and virtual try-on, improved stylized text rendering for decorative typography, and comprehensive portrait makeup supporting dozens of styles from professional retouching to creative looks.
Yes. FireRed Image Edit natively supports bilingual Chinese-English instructions. You can describe edits in either language, and the model understands complex instructions including cultural context. It shows particular strength on Chinese visual data in the REDEdit-Bench benchmark.
Upload up to 3 reference images and describe how to combine them using natural language. Reference images by number — for example, 'Put the person from Figure 1 in the outfit from Figure 2 with the background from Figure 3'. The model automatically harmonizes lighting, perspective, and style across all sources.
Yes. FireRed Image Edit provides free credits to use FireRed Image Edit with no watermark. All 10 editing capabilities are available. Sign up and start editing immediately.
Yes. The model is Apache-2.0 licensed, allowing commercial use. All images edited through FireRed Image Edit include full commercial usage rights for marketing, e-commerce, social media, and any business purpose.
FireRed Image Edit-LoRA-Zoo provides specialized LoRA adapters built on top of v1.1: CoverCraft for artistic typography and poster design, BeautyMaster for enhanced beauty editing, and a Lightning adapter for accelerated 8-step inference. These extend the base model's capabilities for specific use cases.
FireRed Image Edit achieves state-of-the-art open-source results on multiple benchmarks including REDEdit-Bench, ImgEdit, and GEdit (both English and Chinese). It leads in instruction following accuracy, image quality, and visual coherence among open-source models.
What Creators Say About FireRed Image Edit
“The virtual try-on is a game-changer for product shoots. We show clothing on different models without reshooting — saves days of studio time. The multi-image fusion handles lighting automatically.”
Sarah Chen: “The virtual try-on is a game-changer for product shoots. We show clothing on different models without reshooting — saves days of studio time. The multi-image fusion handles lighting automatically.”
Marcus Liu: “Instruction-driven editing feels natural. I describe what I want changed and it handles the rest. Identity preservation during style transfer is impressive — faces stay recognizable across any artistic style.”
Emily Zhang: “Background replacement used to take hours in Photoshop. Now I describe the scene and FireRed handles lighting, shadows, everything. Bilingual support is perfect for our global campaigns.”
Try FireRed Image Edit Free
Experience FireRed Image Edit AI Model — 10 editing capabilities, bilingual instructions, identity-preserving edits. Start editing free with no watermark
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