krita-ai-diffusion
10,870
Stars
658
Forks
88
Watchers
134
Open Issues
GPL-3.0
许可证
Python
语言
2023-09-01
创建时间
2026-11-06
最近更新
项目能做什么
在 Krita 中集成的 AI 图像生成插件,支持局部重绘与扩图,无需复杂调参。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<h1><img width="64px" src="ai_diffusion/icons/logo-128.png"> Generative AI <i>for Krita</i></h1> ✨[Features](#features) | ⭳ [Download](https://github.com/Acly/krita-ai-diffusion/releases/latest) | 🛠️[Installation](https://docs.interstice.cloud/installation) | 🎞️ [Video](https://youtu.be/Ly6USRwTHe0) | 🖼️[Gallery](#gallery) | 📖[User Guide](https://docs.interstice.cloud) | 💬[Discussion](https://github.com/Acly/krita-ai-diffusion/discussions) | 🗣️[Discord](https://discord.gg/pWyzHfHHhU) This is a plugin to use generative AI in image painting and editing workflows from within Krita. Visit [**www.interstice.cloud**](https://www.interstice.cloud) for an introduction. Learn how to install and use it on [**docs.interstice.cloud**](https://docs.interstice.cloud). The main goals of this project are: * **Precision and Control.** Creating entire images from text can be unpredictable. To get the result you envision, you can restrict generation to selections, refine existing content with a variable degree of strength, focus text on image regions, and guide generation with reference images, sketches, line art, depth maps, and more. * **Workflow Integration.** Most image generation tools focus heavily on AI parameters. This project aims to be an unobtrusive tool that integrates and synergizes with image editing workflows in Krita. Draw, paint, edit and generate seamlessly without worrying about resolution and technical details. * **Local, Open, Free.** We are committed to open source models. Customize presets, bring your own models, and run everything local on your hardware. Cloud generation is also available to get started quickly without heavy investment. [](https://youtu.be/Ly6USRwTHe0 "Watch video demo") ## <a name="features"></a> Features * **Inpainting**: Use selections for generative fill, expand, to add or remove objects * **Live Painting**: Let AI interpret your canvas in real time for immediate feedback. [Watch Video](https://youtu.be/AF2VyqSApjA?si=Ve5uQJWcNOATtABU) * **Upscaling**: Upscale and enrich images to 4k, 8k and beyond without running out of memory. * **Diffusion Models**: Flux 2, Z-Image, Stable Diffusion 1.5, XL, Illustrious * **Edit Models**: Make modifications to images via text instructions * **ControlNet**: Scribble, Line art, Canny edge, Pose, Depth, Normals, Segmentation, +more * **IP-Adapter**: Reference images, Style and composition transfer, Face swap * **Regions**: Assign individual text descriptions to image areas defined by layers. * **Job Queue**: Queue and cancel generation jobs while working on your image. * **History**: Preview results and browse previous generations and prompts at any time. * **Strong Defaults**: Versatile default style presets allow for a streamlined UI. * **Customization**: Create your own presets - custom checkpoints, LoRA, samplers and more. ## <a name="installation"></a> Getting Started See the [Plugin Installation Guide阅读完整原文
商业机会分析 规则生成(AI 未配置)
综合评分 63.1 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 35.0 分,差异化空间 88.0 分(评分依据见评分卡)。
面向细分需求的二次开发产品
| 产品构想 | 基于 krita-ai-diffusion 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
封装为在线小工具或 API 服务
| 产品构想 | 把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。 |
| 目标用户 | 搜索引擎带来的长尾用户 |
| 难度/周期 | 低 · 1~3 周 |
| 收费模式 | 免费引流 + 增值功能 / API 按量计费 |
| 竞争风险 | 同质化竞争,需做好 SEO |
| 依据 | AI 推测:基于技术栈与部署特征的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2023-09-01,近 30 天仍在推送,发布过 83 个 Release |
| 社区活跃 | Star 10,870 / Fork 658 / Issue 134(数据支持,可自行核实) |
| 许可证 | GPL-3.0 商用需注意传染性条款 |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
快速开始(以仓库 README 为准)
git clone https://github.com/Acly/krita-ai-diffusion.git cd krita-ai-diffusion # 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。