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.
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.
