AI/EXPLORER
ToolsCategoriesSitesLLMsCompareAI QuizAlternativesPremium
—AI Tools
—Sites & Blogs
—LLMs & Models
—Categories
AI Explorer

Find and compare the best artificial intelligence tools for your projects.

Made within France

Explore

  • ›All tools
  • ›Sites & Blogs
  • ›LLMs & Models
  • ›Compare
  • ›Chatbots
  • ›AI Images
  • ›Code & Dev

Company

  • ›Premium
  • ›About
  • ›Contact
  • ›Blog

Legal

  • ›Legal notice
  • ›Privacy
  • ›Terms

© 2026 AI Explorer·All rights reserved.

HomeLLMsStyle Transfer

Style Transfer

by zooeyy

Open source · 4k downloads · 15 likes

1.5
(15 reviews)ImageAPI & Local
About

The *Style Transfer* model is an AI tool specialized in artistic image transformation, enabling users to apply the visual style of a reference (such as a drawing, illustration, or artwork) to a photographic source while preserving its structure and composition. Through a fine-tuning technique using LoRA, it excels at converting realistic photos into a variety of styles, ranging from minimalist cartoons to pop-art prints or stylized sketches, all with just a few clicks. Its use cases span artistic creation, customizing visuals for social media, and producing unique visual content for creative projects. What sets it apart is its ability to generate consistent and aesthetically pleasing results, though it remains in an experimental phase, accessible via interfaces like ComfyUI or SD WebUI. Its potential, combined with ongoing improvements, makes it a promising tool for artists and digital creators.

Documentation

Style Transfer-Alpha0.2

Model description

🎨 Qwen-Image-Edit 风格模仿 LoRA 模型 v0.1(Alpha)

这是一个基于 Qwen-Image-Edit-2511 的实验性LoRA微调模型,专注于风格转换与艺术变换。使用400多组图像训练了22000步,rank为32,学习率为0.0001,训练分辨率为1024,并在NVIDIA RTX 4090上实现了约每迭代15秒的速度。

🎨 Qwen-Image-Edit Style Mimic LoRA — v0.1 (Alpha)

An experimental LoRA fine-tuned model based on Qwen-Image-Edit-2511, designed for style transfer and artistic transformation. Trained with over 400 image pairs for 22,000 steps at rank 32, using a learning rate of 0.0001 and training resolution of 1024, achieving approximately 15 seconds per iteration on an NVIDIA RTX 4090. 🔍 工作原理

给定: 一张源图像(例如,一个人的照片) 一张参考图像(例如,卡通、线稿、插画等)

微信图片_20251230170631_361_150

模型将参考图像的视觉风格应用于源图像,同时保留其结构和构图。虽然它仍处于早期阶段,但在ComfyUI中已经能够对部分风格产生良好的效果。 ✅ 示例:将cosplay照片转化为Lacoste鳄鱼素描风格、色彩斑斓的波普艺术狗或极简主义冬季卡通——只需一键。 🔍 How It Works

Given: A source image (e.g., a photo of a person) A reference image (e.g., cartoon, line art, illustration, etc.)

The model applies the visual style of the reference image to the source image while preserving its structure and composition. Although still in its early stages, it has shown promising results for certain styles in ComfyUI. ✅ Example: Turn a cosplay photo into a Lacoste-style crocodile sketch, a colorful pop-art dog, or a minimalist winter cartoon — all with one click. 🛠️ 使用指南 在 ComfyUI 中:

  1. 加载你的源图像(例如,一张照片)。
  2. 加载一个风格参考图像。
  3. 应用此 LoRA,强度设置为0.6–1.0。
  4. 使用图像到图像或修复节点生成结果。

尽管该模型在某些风格上表现良好,但它仍在开发中,可能会遇到一些局限性。 In SD WebUI: Load the LoRA via "Load LoRA" tab. Set LoRA weight to 0.7–1.0. Use with img2img mode and a reference image as input. 💡 Tip: For best results, use references with similar aspect ratios and compositions. 🧪 训练详情 基础模型: Qwen-Image-Edit-2511 训练方法: LoRA 微调(Rank=32, Alpha=16) 数据集: 自定义精选的艺术风格数据集(线稿、卡通、波普艺术、超现实主义等),包含超过400组图像 Epochs: 22000 步 Batch Size: 1 学习率: 1e-4 优化器: AdamW 训练硬件: NVIDIA RTX 4090,大约每迭代15秒 ⚠️ 局限性与未来工作

尽管前景看好,但该模型仍处于早期发展阶段。当前的局限性包括: 转换过程中面部特征可能会有些模糊 色彩一致性在不同风格间可能有所不同 复杂纹理可能无法完全转移

📌 未来改进: 使用遮罩增强面部保护 添加色彩校正损失 支持更多样化的参考风格 在更高分辨率的图像上进行训练 🔄 版本控制 v0.1(Alpha): 初始发布——实验性但功能正常 v0.2+: 预计很快推出,具有改进的稳定性和准确性 📂 License

该模型根据MIT许可证发布。您可以在任何目的下自由使用、修改和分发它,包括商业应用,只需注明原作者即可。 📣 反馈与贡献

我正在积极改进这个模型!如果您有任何建议、发现错误或想要提供示例,请打开一个问题或留下评论。

让我们一起让风格转换更加强大吧!🌟 📝 Created by @zooeyy Still training... stay tuned!

Trigger words

You should use 图1变为图2风格 to trigger the image generation.

Download model

Download them in the Files & versions tab.

Capabilities & Tags
diffuserstext-to-imagelora
Links & Resources
Specifications
CategoryImage
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
1.5

Try Style Transfer

Access the model directly