🤗 HuggingFace Model | 🤗 LoRA Zoo | 🖥️ Demo | 📄 Technical Report
## 🔥 FireRed-Image-Edit-1.1 We introduce FireRed-Image-Edit-1.1, an upgrade to our general-purpose image editing foundation model. Building upon the capabilities presented in the FireRed-Image-Edit-1.0 Technical Report, version 1.1 significantly enhances identity consistency, multi-image conditioning, and domain-specialized editing performance, bringing the model closer to real-world creative production needs. ## ✨ Key Features #### Strong Editing Performance - 🆔 **State-of-the-Art Identity Consistency**: Open-source SOTA in character identity preservation, ensuring subjects remain recognizable across complex edits. - 🧩 **Multi-Element Fusion**: Freely combine 10+ elements with Agent-powered automatic cropping and stitching—no more struggles with short prompts. - 💄 **Comprehensive Portrait Makeup**: Dozens of styles from professional beauty retouching and yellow/olive skin tone brightening to Halloween witch makeup and creative looks. - 📝 **Text Style Reference**: Maintains high-fidelity typography and stylized text comparable to closed-source solutions. - 🖼️ **Professional Photo Restoration**: High-quality old photo repair and enhancement with superior detail recovery. #### Ultimate Engineering Optimization - 🔧 **Open LoRA Training Ecosystem:** Full training code released for custom style creation, optimized samplers maximize GPU efficiency for identical tasks, sizes, and input counts. - ⚡ **Extreme Speed Optimization**: Complete acceleration suite featuring distillation, quantization, and static compilation—delivering 4.5s end-to-end generation with just 30GB VRAM - 🤖 **Intelligent Agent Workflow**: Automatic multi-image processing handles complex compositions like virtual try-on without requiring lengthy prompt engineering - 🔌 **Universal Deployment**: Native ComfyUI node support and GGUF lightweight format compatibility for seamless production integration ## 🎨 Showcase Some real outputs produced by FireRed-Image-Edit across general editing. ### Portrait([More Cases](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/docs/portrait_en.md) | [更多结果](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/docs/portrait_cn.md))
### Multi-image-fusion([More Cases](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/docs/multi_image.md)
### Makeup([Lora](https://huggingface.co/FireRedTeam/FireRed-Image-Edit-LoRA-Zoo/blob/main/FireRed-Image-Edit-Makeup.safetensors))
### Text Style Reference([Lora](https://huggingface.co/FireRedTeam/FireRed-Image-Edit-LoRA-Zoo/blob/main/FireRed-Image-Edit-Covercraft.safetensors))([More Cases](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/docs/text.md))
## 🏆 Evaluation Results FireRed-Image-Edit establishes a new state-of-the-art among open-source models on Imgedit, Gedit, and RedEdit, while surpassing our closed-source competitors in specific dimensions—a distinction further corroborated by human evaluations highlighting its superior prompt following and visual consistency.
