AI Image Generator Online
Create stunning images from text prompts using a powerful AI image generator and text to image AI model online.
探索所有 14 款 AI 图片生成模型
从多款 AI 图片模型中挑选最适合你创作需求的工具，涵盖文生图、图生图、局部重绘等多种能力。
FireRed Image Edit
An AI image editing model built for targeted inpainting, object replacement, background modification, and style refinement. It is ideal for high-control edits that preserve the original composition while improving visual quality, especially for e-commerce retouching, poster updates, social media assets, and creative rework.
Nano Banana 2
Fast and affordable image generation model powered by Google Gemini Flash Image. Ideal for everyday creative tasks with flexible resolutions from 0.5K to 4K.
Nano Banana 2 Lite
Google DeepMind’s fastest and most efficient Gemini Image model for low-latency image generation and editing. Use it when you need rapid drafts, reference-guided edits, and reliable 1K visual exploration at a lighter credit cost.
Nano Banana Pro
High-quality image generation with enhanced details and better consistency
Seedream 5.0 Lite
ByteDance's next-generation lightweight image generation model that delivers flagship-level visual quality at significantly faster speeds. Supports batch generation of up to 15 images with strong prompt understanding, ideal for high-frequency creative workflows.
GPT-Image 1.5
Professional-grade photorealistic image generation model, specializing in capturing delicate light/shadow textures and natural human expressions. Supports both text-to-image and image-to-image modes, with excellent performance in fidelity and detail restoration, particularly suitable for commercial scenarios requiring high realism.
GPT Image 2
A multi-reference image generation model that supports up to 16 reference images, built for high consistency, stronger control, and more complex commercial workflows. Supports both text-to-image and image-to-image generation.
Seedream 4.5
Flagship visual generation model with ultimate natural language understanding and light/shadow expression. It no longer relies on mechanical tag stacking, but understands 'stories' and 'atmosphere', switching freely between hyper-realistic photography and surreal art.
FLUX.2
Next-generation industrial-grade model, breaking the 'text curse' of AI drawing. It has the strongest instruction following capability to date, not only perfectly generating specified words/text within images, but also precisely controlling complex hand movements and object spatial relationships.
Z-Image
A model optimized for text-to-image scenarios, dedicated to accurately mapping complex descriptions to visual elements, especially excelling in conceptualization and abstract description realization.
Grok 4.2 Image
xAI's latest Grok 4.2 image generation model, excelling at creative composition and stylized expression. Supports text-to-image and image-to-image, with outstanding performance in portraits, scene rendering, and artistic creation.
FLUX.2 Klein 9B
Black Forest Labs' ultra-fast lightweight image generation model with 9B parameters, delivering blazing speed for high-frequency batch generation and rapid iteration workflows.
Nano Banana
Google-powered image generation model with excellent detail rendering and multi-image reference support. Handles up to 14 reference images for precise style control across diverse aspect ratios.
GLM Image
Zhipu AI's text-to-image model with strong Chinese and English bilingual understanding. Fast generation at ultra-low cost, ideal for rapid content creation and batch workflows.
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.
Yes. FireRed Edit and FireRed-Image-Edit both refer to the FireRed Image Edit model and its editing workflow. Some searches misspell the name as firerd image edit; the correct project name is FireRed Image Edit.
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 → crop & stitch → 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
“FireRed'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.”
Dr. Wei Zhang: “FireRed'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.”
Sophia Martinez: “The multi-element fusion feature is a game-changer. Combining 10+ elements with automatic cropping and stitching saves hours of manual compositing work.”
Kenji Tanaka: “Photo 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.”
Emily Rogers: “The bilingual understanding is seamless. I write instructions in English, my colleague writes in Chinese, and FireRed handles both with equal precision. Truly impressive.”
Liu Chenxi: “Virtual try-on with FireRed has transformed our product photography pipeline. Realistic garment fitting on different body types without expensive photo shoots.”
Anna Kowalski: “The portrait makeup capabilities cover everything from subtle beauty retouching to bold creative looks. Dozens of styles available out of the box with consistent quality.”
Raj Patel: “Training 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.”
Yuki Nakamura: “Font style reference and text rendering are best-in-class. FireRed preserves text styles with high fidelity, which is critical for our multilingual marketing materials.”
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