7 items β’ Updated β’ 17
π Hugging Face
π Hugging Face Model
π Hugging Face Model
π Hugging Face Model
π HF Demo
π ModelScope Model
π ModelScope Model
π MS Demo
π Image
π License
π Image
π€ HuggingFace | π€ ModelScope | π₯οΈ Demo | π Technical Report
π₯ 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.
β¨ Key Features
Strong Editing Performance
- π State-of-the-Art Identity Consistency: Open-source SOTA in character identity preservation, ensuring subjects remain recognizable across complex edits.
- 𧩠Multi-Element Fusion: Freely combine 10+ elements with Agent-powered automatic cropping and stitchingβno more struggles with short prompts.
- π Comprehensive Portrait Makeup: Dozens of styles from professional beauty retouching and yellow/olive skin tone brightening to Halloween witch makeup and creative looks.
- π Text Style Reference: Maintains high-fidelity typography and stylized text comparable to closed-source solutions.
- πΌοΈ Professional Photo Restoration: High-quality old photo repair and enhancement with superior detail recovery.
Ultimate Engineering Optimization
- π§ Open LoRA Training Ecosystem: Full training code released for custom style creation, optimized samplers maximize GPU efficiency for identical tasks, sizes, and input counts.
- β‘ Extreme Speed Optimization: Complete acceleration suite featuring distillation, quantization, and static compilationβdelivering 4.5s end-to-end generation with just 30GB VRAM
- π€ Intelligent Agent Workflow: Automatic multi-image processing handles complex compositions like virtual try-on without requiring lengthy prompt engineering
- π Universal Deployment: Native ComfyUI node support and GGUF lightweight format compatibility for seamless production integration
π¨ Showcase
Some real outputs produced by FireRed-Image-Edit across general editing.
Portrait(More Cases | ζ΄ε€η»ζ)
Multi-image-fusion(More Cases
Makeup(Lora)
Text Style Reference(Lora)(More Cases)
π 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 dimensionsβa distinction further corroborated by human evaluations highlighting its superior prompt following and visual consistency.
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