百科.dev
全部条目在线工具AI 编程趋势榜开源项目技术资讯提交条目
登录
< 返回工具列表
S

stable-diffusion-webui

> 编程语言
开源

稳定扩散网络UI

164.3K stars0 点赞4 次浏览
访问官网GitHub

工具介绍

稳定扩散网络UI

Stable Diffusion web UI A web interface for Stable Diffusion, implemented using Gradio library. Features Detailed feature showcase with images:

  • Original txt2img and img2img modes
  • One click install and run script (but you still must install python and git)
  • Outpainting
  • Inpainting
  • Color Sketch
  • Prompt Matrix
  • Stable Diffusion Upscale
  • Attention, specify parts of text that the model should pay more attention to
    • a man in a ((tuxedo)) - will pay more attention to tuxedo
    • a man in a (tuxedo:1.21) - alternative syntax
    • select text and press Ctrl+Up or Ctrl+Down (or Command+Up or Command+Down if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)
  • Loopback, run img2img processing multiple times
  • X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
  • Textual Inversion
    • have as many embeddings as you want and use any names you like for them
    • use multiple embeddings with different numbers of vectors per token
    • works with half precision floating point numbers
    • train embeddings on 8GB (also reports of 6GB working)
  • Extras tab with:
    • GFPGAN, neural network that fixes faces
    • CodeFormer, face restoration tool as an alternative to GFPGAN
    • RealESRGAN, neural network upscaler
    • ESRGAN, neural network upscaler with a lot of third party models
    • SwinIR and Swin2SR (see here), neural network upscalers
    • LDSR, Latent diffusion super resolution upscaling
  • Resizing aspect ratio options
  • Sampling method selection
    • Adjust sampler eta values (noise multiplier)
    • More advanced noise setting options
  • Interrupt processing at any time
  • 4GB video card support (also reports of 2GB working)
  • Correct seeds for batches
  • Live prompt token length validation
  • Generation parameters
    • parameters you used to generate images are saved with that image
    • in PNG chunks for PNG, in EXIF for JPEG
    • can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
    • can be disabled in settings
    • drag and drop an image/text-parameters to promptbox
  • Read Generation Parameters Button, loads parameters in promptbox to UI
  • Settings page
  • Running arbitrary python code from UI (must run with --allow-code to enable)
  • Mouseover hints for most UI elements
  • Possible to change defaults/mix/max/step values for UI elements via text config
  • Tiling support, a checkbox to create images that can be tiled like textures
  • Progress bar and live image generation preview
    • Can use a separate neural network to produce previews with almost none VRAM or compute requirement
  • Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
  • Styles, a way to save part of prompt and easily apply them via dropdown later
  • Variations, a way to generate same image but with tiny differences
  • Seed resizing, a way to generate same image but at slightly different resolution
  • CLIP interrogator, a button that tries to guess prompt from an image
  • Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
  • Batch Processing, process a group of files using img2img
  • Img2img Alternative, reverse Euler method of cross attention control
  • Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
  • Reloading checkpoints on the fly
  • Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
  • Custom scripts with many extensions from community
  • Composable-Diffusion, a way to use multiple prompts at once
    • separate prompts using uppercase AND
    • also supports weights for prompts: a cat :1.2 AND a dog AND a penguin :2.2
  • No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
  • DeepDanbooru integration, creates danbooru style tags for anime prompts
  • xformers, major speed increase for select cards: (add --xformers to commandline args)
  • via extension: History tab: view, direct and delete images conveniently within the UI
  • Generate forever option
  • Training tab
    • hypernetworks and embeddings options
    • Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
  • Clip skip
  • Hypernetworks
  • Loras (same as Hypernetwork

Issues· 2511 开放

查看全部 Issues在 GitHub 打开
  • #17500

    [错误]: 通过 LoRA safetensors sshs_model_hash 元数据存储 XSS,并通过扩展安装程序升级为 RCE

    bug-report更新于 2026年9月30日
  • #17499

    [错误]: 通过检查点 (model.target) 的同名 YAML 附加文件执行任意代码

    bug-report更新于 2026年9月30日
  • #17498

    [错误]: safetensors 头部长度(前 8 个字节)在 file.read() 中未经检查使用 – 攻击者尝试在每个模型扫描时分配大量内存

    bug-report更新于 2026年9月29日
  • #17497

    [错误]:通过模型文件名在额外网络卡中注入 HTML (脚本在页面加载时在 WebUI 原生中运行)

    bug-report更新于 2026年9月29日
  • #17495

    [功能请求]:

    enhancement更新于 2026年9月24日
  • #17492

    [错误]: 自定义内部路由在没有 gradio-auth 登录的情况下暴露配置

    bug-report更新于 2026年9月22日
  • #17161

    [安全警报]:即使明确启用,并非所有终端都需要进行身份验证

    bug-report更新于 2026年9月21日
  • #17296

    RuntimeError: CUDA 错误: 没有可用的内核映像

    bug-report更新于 2026年9月20日
  • #8794

    [错误]:无法安装 torch/torchvision,无法找到正确的版本

    bug-report更新于 2026年9月16日
  • #9483

    [错误]: 无法找到满足要求 torch==1.13.1+cu117 的版本(来自版本:none)

    bug-report更新于 2026年9月11日

> 标签

Pythonaiai-artdeep-learningdiffusion

暂无评论,来聊聊你的看法吧

> 工具信息

发布日期2026年8月1日
最后更新2026年10月2日
分类编程语言
定价开源

> 相关工具

T
TypeScript
JavaScript 的超集,为前端与全栈提供静态类型
P
Python
通用编程语言,广泛用于 Web、数据与 AI
G
Go
Google 推出的简洁高效系统语言