FireRed Image Edit Pricing Plans
Simple, Transparent Pricing
Select a plan that fits your creative needs.
Experience basic features
- 10 Credits/Yr
- Basic Features
- Community Support
- No Team Feature
Free
Experience basic features
Billed Annually $0 / yr
Includes
- 10 Credits/Yr
- Basic Features
- Community Support
- No Team Feature
- Valid for 30 days
For individual creators getting started
- 4,800 Credits/Yr
- Access to core image models
- Up to 2K resolution output
- Commercial license included
Creator
For individual creators getting started
Billed Annually $118.80 / yr
Includes
- 4,800 Credits/Yr
- Access to core image models
- Up to 2K resolution output
- Commercial license included
- Standard queue processing
- Team collaboration: up to 2 seats
- Valid for 365 days
For professionals and creative teams
- 36,000 Credits/Yr
- Access to all standard models
- Up to 4K resolution output
- Commercial license included
Pro
For professionals and creative teams
Billed Annually $282 / yr
Everything in Creator, plus
- 36,000 Credits/Yr
- Access to all standard models
- Up to 4K resolution output
- Commercial license included
- Priority queue processing
- 6 parallel generation tasks
- Team collaboration: up to 5 seats
- Valid for 365 days
Frequently Asked Questions
Common questions about FireRed Image Edit
A general-purpose image editing model by Xiaohongshu's Intelligent Creation Core Technology Team, built on Diffusion Transformer architecture with Qwen2.5-VL as vision-language encoder.
10+ categories: object add/remove/replace, attribute adjustment, background editing, style transfer, text editing, photo restoration, multi-image editing, virtual try-on, portrait makeup, and multi-element fusion.
30GB VRAM with optimized inference (distillation + quantization + static compilation), ~4.5s per sample.
Open-source SOTA on ImgEdit (4.56), GEdit EN (7.943), GEdit CN (7.887), REDEdit EN (4.26), REDEdit CN (4.33), surpassing some proprietary models.
Yes, native bilingual support for both Chinese and English editing instructions.
Automatic multi-image processing: ROI detection โ crop & stitch โ recaption. Supports 1-3 native input images, and 3+ via Agent.
Yes, full LoRA training code is released. Also provides LoRA Zoo with pre-trained styles (Makeup, Covercraft text style, etc.)
Apache 2.0, fully open source. Available on HuggingFace, ModelScope, and GitHub.
Community Feedback
What researchers and creators say about FireRed Image Edit
โFireRed's identity consistency in v1.1 is remarkable. Face and character preservation across edits rivals closed-source solutions, and the open-source availability accelerates our research.โ
Dr. Wei Zhang: โFireRed's identity consistency in v1.1 is remarkable. Face and character preservation across edits rivals closed-source solutions, and the open-source availability accelerates our research.โ
Sophia Martinez: โThe multi-element fusion feature is a game-changer. Combining 10+ elements with automatic cropping and stitching saves hours of manual compositing work.โ
Kenji Tanaka: โPhoto restoration quality is outstanding. Old family photos come back to life with natural colors and sharp details. The 4.5-second inference makes batch processing practical.โ
Emily Rogers: โThe bilingual understanding is seamless. I write instructions in English, my colleague writes in Chinese, and FireRed handles both with equal precision. Truly impressive.โ
Liu Chenxi: โVirtual try-on with FireRed has transformed our product photography pipeline. Realistic garment fitting on different body types without expensive photo shoots.โ
Anna Kowalski: โThe portrait makeup capabilities cover everything from subtle beauty retouching to bold creative looks. Dozens of styles available out of the box with consistent quality.โ
Raj Patel: โTraining on 1.6 billion samples really shows. The model generalizes across diverse editing scenarios without fine-tuning. The Lightning 8-step mode is perfect for real-time applications.โ
Yuki Nakamura: โFont style reference and text rendering are best-in-class. FireRed preserves text styles with high fidelity, which is critical for our multilingual marketing materials.โ