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drbaph/FireRed-Image-Edit-1.1_ComfyUI_Quants

认证创作者 drbaph 已认证
🤗 Hugging Face 来源image-to-imageapache-2.032 GBother✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo drbaph/FireRed-Image-Edit-1.1_ComfyUI_Quants ./model-folder
需要做种者 →

🗜️ ComfyUI Quantised Models for FireRed-Image-Edit-1.1

This repo contains the quantised, ComfyUI-ready models for FireRed-Image-Edit-1.1.

Model Download
firered_image_edit_1.1_fp8_e4m3fn.safetensors ⬇️ Download
firered_image_edit_1.1_fp8_scaled_e4m3fn.safetensors ⬇️ Download
firered_image_edit_1.1_nvfp4.safetensors ⬇️ Download

🤗 HuggingFace | 🤖 ModelScope | 🖥️ 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