StableDiffusionBook is live · free · last verified 4 Nov 2026 · viability monitor
StableDiffusionBook
Stable Diffusion WebUi 中文实战文档:SDWebUi 安装、报错排查到 LoRA 训练的一站式百科
读中文、想把 WebUi 跑起来并真的出一张图的人,这份文档值得先过一遍——安装、GPU 报错、ControlNet 到五类训练都有现成路径,省掉在英文 issue 里翻找的时间。它对 NAI 泄漏两个数据包的梳理(53.66 GB / 124.54 GB)在中文资料里不多见。软肋页面自己就写着:部分技术文档可能已过时,社区链接要自己验活。
Verdict generatedVerified 9d ago · liveness 56/100 · cite: rightaichoice.com/tools/stablediffusionbook
- 读中文或英文、想从零把 Stable Diffusion WebUi 装通跑起来的用户
- 被 GPU 显存和运行报错卡住、需要中文排查路径的动手派
- 准备训练 LoRA、DreamBooth 等自定义风格模型的中级用户
- 想把 ControlNet 接进实际出图工作流的插画师与设计师
- 需要官方技术支持、SLA 或版本同步承诺的团队
- 要找 API、企业级部署或商业授权方案的买家
- 要求文档参数始终与上游工具最新版本一致的用户
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Skip StableDiffusionBook if you need SLA-backed official support, commercial licensing or an API plan, or if you require parameter docs that track the very latest upstream Stable Diffusion WebUi release rather than archived chapters.
按 GFDL 协议使用需遵守其条款:文档可自由复制与修改,但衍生物需沿用同一许可并保留署名。
文档本身采用 GFDL 协议、可免费阅读与共建,站内没有任何付费层级可比较;换句话说,你的预算不会花在这本书上,而是花在自备的 GPU、显存和模型下载上。对个人插画师和学生来说这是零门槛入口,对需要付费支持渠道或商业授权条款的团队它不构成采购对象。
In short
StableDiffusionBook — Stable Diffusion WebUi 中文实战文档:SDWebUi 安装、报错排查到 LoRA 训练的一站式百科. Best for 读中文或英文、想从零把 Stable Diffusion WebUi 装通跑起来的用户, 被 GPU 显存和运行报错卡住、需要中文排查路径的动手派, 准备训练 LoRA、DreamBooth 等自定义风格模型的中级用户. Free to use.
What is StableDiffusionBook?
StableDiffusionBook — Stable Diffusion WebUi 中文实战文档:SDWebUi 安装、报错排查到 LoRA 训练的一站式百科. Best for 读中文或英文、想从零把 Stable Diffusion WebUi 装通跑起来的用户, 被 GPU 显存和运行报错卡住、需要中文排查路径的动手派, 准备训练 LoRA、DreamBooth 等自定义风格模型的中级用户. Free to use.
StableDiffusionBook 是一份采用 GFDL 协议开放共建的中英双语实战文档,主入口是 draw.dianas.cyou,另有一个大陆无法访问的 Vercel 镜像。它按任务推进而非按菜单罗列:`起步于此` 讲术语与新闻,`开始之前` 交代入门要求,`安装配置` 覆盖 WebUi 安装与运行,`调试程序` 处理 GPU 相关问题和生图报错。 真正干活的内容集中在绘画与训练两块。绘画指南从提示工程讲到 Txt2Img、Img2Img 两种工作流,再到 ControlNet 实战与出图评估;训练模型一章把 LoRA、Textual Inversion、Hypernetwork、DreamBooth、AestheticGradients 五类训练各自写成可照做的步骤,风格化模型的使用与训练也归在同一章。文档还设了工作台速查传送门,方便直接跳到需要的那一节。 它对 Stable Diffusion 与 NovelAI 的谱系交代得比较细:NAI 曾泄漏基于 danbooru 训练的二代模型,泄漏分两包,Part 1 为 53.66 GB(含 7GB 与 4GB 两种模型),Part 2 为 124.54 GB 的历史测试代码与模型;社区底模大多从这批模型衍生。文档同时直言这类衍生模型的常见毛病——画风油腻、风格趋同、不服指令,而后来的 NovelAI 基于 SDXL 的第三代模型在插画方向明显更强。 按读者身份分流的推荐页很直接:设计师/美工被指向 @秋葉aaaki 的视频教程、一键启动器和蓝图节点编辑器,二次元用户直接指向 NovelAI,老手则继续翻归档章节。相比 AUTOMATIC1111 官方 wiki 或英文 issue 区,它的差异在于中文语境下把报错排查和训练流程串成一条线。项目本身不托管模型、不提供算力。
Key features
- SDWebUi 安装与运行的分步指南
- GPU 相关问题与运行时常见报错排查
- CPU 与 NAI Leak 内容解释及应用配置说明
- Txt2Img 模式工作流讲解
- Img2Img 模式工作流讲解
- 提示工程与提示词书写指南
- ControlNet 实战指南与出图评估
- LoRA 训练完整流程
- Textual Inversion 训练指南
- Hypernetwork 训练指南
- DreamBooth 训练指南
- AestheticGradients 训练指南
- Stable Diffusion 与 NovelAI 谱系说明(泄漏 Part 1 为 53.66 GB,Part 2 为 124.54 GB)
- 按用户类型分角色推荐资源(设计师/美工、二次元用户、老手)
- 中英双语文档与术语表、新闻页
Behind the verdict
我们建议把它当「中文排错手册」用,而不是当权威参考手册。文档自己声明部分内容可能过时,这是个诚实的免责,也意味着 GPU 显存报错、依赖冲突这类会随上游版本漂移的内容,读完还要对着当前 WebUi 版本核一遍。 最值得先读的是训练模型那一章。LoRA、Textual Inversion、Hypernetwork、DreamBooth、AestheticGradients 五类训练各自成节,按步骤走,对第一次做风格模型的人是省时间的起点;尤其是你已经在别处把出图跑通、只想补训练这一块的时候。 出图侧的价值在 ControlNet 实战和出图评估两节。提示工程的理论网上到处都有,但把 ControlNet 接进实际工作流、再回看结果怎么评估,这类内容中文里更稀缺。 什么时候该跳过:如果你要的是和上游版本严格同步的参数文档,或者需要 API、企业部署、商业授权这类采购信息,这份 wiki 一样都给不了。它不托管模型、不出算力,站点外链失效是常态,页面甚至写明源站返回 404/300/302/502 时要提 issue 让人移除。 和 AUTOMATIC1111 官方 wiki 的取舍很清楚:官方文档跟版本最紧、覆盖面最广,但报错排查靠英文 issue 区自己拼;这份文档的强项正好是中文语境下的路径串联。实际用法是我们会把两边并排开——术语和流程看这里,参数细节回官方。 还有一个坑要提醒:文档对社区模型的评价(画风油腻、不服指令)带明显主观色彩,读的时候当成作者观点,别当行业结论。NovelAI 泄漏谱系那一节值得读,但泄漏事件的法律与伦理问题文档没有展开,商用前得自己判断底模来源。 访问层面,主地址之外只挂了一个 Vercel 镜像,且标注大陆不可用;图片和外链打不开时官方建议换网络,动手前先把网络环境准备好。
Models under the hood
as of 2026-11-08
Limitations
文档自述部分技术文档「可能已过时」,多个章节被标注为归档内容,可能落后于上游工具版本,参数细节不适合作为权威依据。它不托管模型、不提供算力或成品素材,纯属信息性文档。访问层面,主地址为 https://draw.dianas.cyou/,另有 Vercel 版本但中国大陆不可用;若图片或外链资源打不开需更换网络,源站返回状态码 404/300/302/502 时项目方建议提交 issue 移除失效内容。社区群组、创作者教程与论坛链接均无活跃度承诺,需要你自行验证是否仍然可用。
as of 2026-10-11
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Is StableDiffusionBook still active?
StableDiffusionBook is live · free · last verified 4 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is StableDiffusionBook? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about StableDiffusionBook?
What people actually say about StableDiffusionBook — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 2 sources (YouTube, GitHub) · researched Sep 29, 2026.
Weighted by the 8 posts each of 2 sources contributed.
- +Task-based structure (start, install, debug, draw, train, reference) matches how users actually work
- +Documents the NovelAI lineage and both leaked datasets (53.66 GB, 124.54 GB) clearly
- +Covers five training pipelines: LoRA, Textual Inversion, Hypernetwork, DreamBooth, AestheticGradients
- +Maintainers close reported issues fast — WebUi sync closed same day in July 2024
- +Free under GFDL with open contribution, no paywall or account required
- −ComfyUI issue open since April 2023 with no resolution, despite ecosystem billing
- −English translation still pending since March 2023, so bilingual claim is aspirational
- −Archived sections may lag upstream SDWebUi, risking broken install commands
- −Roughly four open issues and a maintainer/translator call signal volunteer fragility
- −No hosted models or compute — full setup still needs your own GPU and storage
- • Your own GPU and electricity for training and inference
- • 53–124 GB downloads for leaked-model packs referenced in the lineage chapter
- • Time cost of volunteer-maintained docs going stale on archived pages
How we verified this
Every listed fact about StableDiffusionBook — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified StableDiffusionBook 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed models, features, description, integrations, who should skip it, summary, who it suits, our verdict
- — changed summary, who should skip it, features, description, who it suits, our verdict
- — changed setup time, who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, summary, use cases
- — changed SSL certificate
- — changed SSL certificate, domain expiry
- — changed pricing page, limitations, pricing fit, description, switching out, our verdict, use cases, summary, setup time, who should skip it, hidden costs, features, switching in, who it suits, integrations
Free to cite with attribution — this page re-verifies continuously.
How much does StableDiffusionBook cost in 2026?
StableDiffusionBook: Free to use. Pricing last verified 4 Nov 2026.
Where the pricing makes sense
The company stage and team size where StableDiffusionBook's pricing actually pencils out — and where peers do it cheaper.
文档本身采用 GFDL 协议、可免费阅读与共建,站内没有任何付费层级可比较;换句话说,你的预算不会花在这本书上,而是花在自备的 GPU、显存和模型下载上。对个人插画师和学生来说这是零门槛入口,对需要付费支持渠道或商业授权条款的团队它不构成采购对象。
Has StableDiffusionBook's pricing changed?
No plan price for StableDiffusionBook has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick StableDiffusionBook?
Pick StableDiffusionBook if you are 读中文或英文、想从零把 Stable Diffusion WebUi 装通跑起来的用户, 被 GPU 显存和运行报错卡住、需要中文排查路径的动手派, 准备训练 LoRA、DreamBooth 等自定义风格模型的中级用户, 想把 ControlNet 接进实际出图工作流的插画师与设计师.
Look elsewhere if you are 需要官方技术支持、SLA 或版本同步承诺的团队, 要找 API、企业级部署或商业授权方案的买家, 要求文档参数始终与上游工具最新版本一致的用户, 想直接在站内下载模型或获得算力的人.
Skip it if Skip StableDiffusionBook if you need SLA-backed official support, commercial licensing or an API plan, or if you require parameter docs that track the very latest upstream Stable Diffusion WebUi release rather than archived chapters.
GeneratedReal-world workflow fit
Concrete scenarios for the personas StableDiffusionBook actually fits — and what changes day-one when you adopt it.
在本机按「安装配置」章节装好 WebUi 并跑通,遇到显存报错时翻「调试程序 / GPU相关」,再用「绘画指南」的提示工程与 Txt2Img 章节出第一组图。
Outcome: 不用先啃英文 issue 就能把环境搭起来并产出可用草图,把时间花在画风调试而不是环境排错上。
先读「训练模型」里的 LoRA 训练流程,再依需求翻 Textual、Hypernetwork、DreamBooth、AestheticGradients 章节,素材来源参考「参考资料」里 Hugging Face 与 Civitai 的链接。
Outcome: 对五类训练方式各自的适用场景有清晰分流,少走反复试错的路。
读「Stable Diffusion 和 Novelai 的关系」一节,对照泄漏 Part 1(53.66 GB)与 Part 2(124.54 GB)的说明,理解社区模型为何画风趋同。
Outcome: 能向团队解释手上 checkpoint 的来龙去脉,并按「针对不同用户的推荐资源」表给不同角色分配学习材料。
Use cases
- 在本机按「WebUi安装 / 运行WebUi」章节跑通 Stable Diffusion WebUi
- 按提示工程章节调整提示词,改善出图效果
- 对照调试程序与 GPU 相关章节排查显存和运行报错
- 用自己的数据集走完 LoRA、DreamBooth 等五类训练流程之一
- 用 ControlNet 实战指南做受控的图像编辑与构图
- 搞清 NovelAI 泄漏事件(53.66 GB / 124.54 GB 两个数据包)与社区模型的谱系关系
- 按身份(设计师/美工、二次元宅、老手)找到对应的视频教程与社区入口
Setup time & first value
How long it actually takes to get something useful out of StableDiffusionBook — broken out by persona, not the marketing-page minute.
读者层面几乎没有准备时间:直接打开主地址即可阅读,中英文可切换。真正的时间花在动手环节——按章节装通 WebUi 视机器与网络而定,排查 GPU 报错、跑通第一个 LoRA 训练则需要以小时计的实操。文档本身只是路径,不代跑环境。
Switching to or from StableDiffusionBook
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From 散落的 B 站教程与论坛帖:按「针对不同用户的推荐资源」表找到对应视频教程,再用七块目录补齐系统化路径。
- →From 英文官方 wiki 与 GitHub issue:先用中文章节快速定位问题,再回到 AUTOMATIC1111 WebUi 的 GitHub discussions 查上游细节。
- ↗To Stable Diffusion WebUi 官方文档 / GitHub discussions:需要最新参数与上游特性时,以官方仓库为准。
- ↗To ComfyUI 节点工作流文档:当你要从 WebUi 转向节点式管线时,本书只作生态介绍,需另找专项资料。
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “StableDiffusionBook”, and we withheld 6: 6 could not be judged, because “StableDiffusionBook” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about StableDiffusionBook.
Official links
What are the best StableDiffusionBook alternatives?
The closest alternatives to StableDiffusionBook we list are PhoneDiffusion, Thinkdiffusion and Stable Diffusion KMP. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| PhoneDiffusion | Freemium | Pricing not published | — |
| Thinkdiffusion | Freemium | Pricing not published | — |
| Stable Diffusion KMP | Free | Free | — |
Alternatives to StableDiffusionBook
View allPhoneDiffusion
PhoneDiffusion runs Stable Diffusion image generation locally on your iPhone — offline, no account, no per-image credits.
Thinkdiffusion
Launch a cloud GPU workspace with AUTOMATIC1111, ComfyUI, Forge, Fooocus, and Kohya pre-installed for Stable Diffusion and Flux
Stable Diffusion KMP
Open-source Kotlin Multiplatform Stable Diffusion client for Android and iOS with self-hosted, cloud, and on-device backends.
Tools that pair well with StableDiffusionBook
Common stack mates teams adopt alongside StableDiffusionBook, with the specific reason each pairing earns its keep.
PhoneDiffusion
PhoneDiffusion runs Stable Diffusion image generation locally on your iPhone — offline, no account, no per-image credits.
Thinkdiffusion
Launch a cloud GPU workspace with AUTOMATIC1111, ComfyUI, Forge, Fooocus, and Kohya pre-installed for Stable Diffusion and Flux
Stable Diffusion KMP
Open-source Kotlin Multiplatform Stable Diffusion client for Android and iOS with self-hosted, cloud, and on-device backends.
StableDiffusionBook vs its closest rival
StableDiffusionBook's closest head-to-head is with Surge Ai — Don't treat this as a head-to-head. StableDiffusionBook is a free, Chinese-language field manual for getting Stable Diffusion WebUi running, writing prompts, and training LoRA/DreamBooth/Textual Inversion styles — you pay nothing and get no compute, no API, and no SLA. Surge AI is the opposite purchase entirely: a staffed vendor selling credentialed doctor/lawyer/engineer human feedback, red teaming, and benchmarks like GDP.pdf and ComplexConstraints to labs that need citable numbers. If you're an illustrator or hobbyist trainer, open the wiki today. If you're training a frontier model and need expert post-training data, book a scoping call with Surge. Verdict generated
Head-to-head comparisons
Stablediffusionbook vs Surge Ai
Don't treat this as a head-to-head. StableDiffusionBook is a free, Chinese-language field manual for getting Stable Diffusion WebUi running, writing prompts, and training LoRA/DreamBooth/Textual Inversion styles — you pay nothing and get no compute, no API, and no SLA. Surge AI is the opposite purchase entirely: a staffed vendor selling credentialed doctor/lawyer/engineer human feedback, red teaming, and benchmarks like GDP.pdf and ComplexConstraints to labs that need citable numbers. If you're an illustrator or hobbyist trainer, open the wiki today. If you're training a frontier model and need expert post-training data, book a scoping call with Surge.
GeneratedStablediffusionbook vs Praktika
These aren't competitors — they don't belong in the same buying decision. StableDiffusionBook is a free, community-maintained Chinese reference for getting Stable Diffusion WebUi running and training LoRA/DreamBooth/Textual Inversion models; it's the right pick if your problem is image-generation workflows and you read Chinese. Praktika is a ~$8/month mobile app for speaking practice with AI tutors like Raika and Min-Jun, aimed at learners who already have vocabulary but freeze out loud. If you need image models, take the free wiki; if you need speaking reps, take Praktika. Note the wiki's archived sections can lag upstream tool versions, and the app's free tier caps speaking.
GeneratedStablediffusionbook vs Sakana Ai
These are not competitors and you should never be choosing between them. StableDiffusionBook is a free Chinese-language wiki that teaches you to install Stable Diffusion WebUi, debug GPU errors, run ControlNet and train LoRA/DreamBooth models — its only cost is your time, and its weakness is that some chapters are archived and drift behind upstream tool versions. Sakana AI is a Tokyo lab selling enterprise contracts to Japanese banks, the defense ministry and intelligence buyers who legally cannot move data offshore, with no published price and no self-serve signup. If you have a budget and a problem, only one of these will even answer your email.
GeneratedStablediffusionbook vs Genspark
These two aren't really competitors — StableDiffusionBook is a free Chinese-language wiki for the Stable Diffusion image-generation community, and Genspark is a commercial AI workspace for research, documents, and no-code agents. If you're a Chinese-speaking illustrator trying to install SDWebUi, train a LoRA, or debug GPU errors, StableDiffusionBook is the resource you want (just note some chapters are archived and lag upstream versions). If you need cited research summaries, AI Slides/Docs/Sheets, or no-code agents, StableDiffusionBook won't help you at all — that's Genspark's territory. They can coexist in a stack, but nobody is choosing one over the other.
GeneratedStablediffusionbook vs The New Black
These are not competitors and no buyer should be choosing between them. StableDiffusionBook is a free, Chinese-language handbook for people who want to install Stable Diffusion WebUi, fix GPU errors, write prompts, run ControlNet, and train LoRA or DreamBooth models themselves. The New Black is a paid, productized fashion studio where a brand hands over a sketch or product photo and gets back garment renders, on-model imagery, tech packs with grading and a bill of materials, and social-ready video. Pick StableDiffusionBook if you want to learn and own your image-generation pipeline for free; pick The New Black if you run an apparel or accessory label and need a finished, factory-ready deliverable — and note its 2026 shift to a four-tier plan with rollover credits and unlimited team seats on paid tiers.
GeneratedStablediffusionbook vs Undermind
These aren't competitors — a buyer would never weigh them in one decision. If you're a Chinese-speaking illustrator trying to install SDWebUi, fix a GPU error, or train a LoRA, StableDiffusionBook answers that for free, with the caveat that archived sections may lag current tool versions. If you're a researcher or R&D team running an exhaustive literature review where citation traceability matters, Undermind is the tool, and the ~2.9-minute search time is the entry fee. Pick the one that matches your problem; there is no trade-off between them.
GeneratedStablediffusionbook vs Runway Gen 4
These aren't competitors — one is a free Chinese-language manual for running Stable Diffusion locally, the other is a credit-metered cloud video studio. If you want to learn SDWebUi, ControlNet, and how to train LoRA or DreamBooth models yourself, StableDiffusionBook costs nothing and covers exactly that (with the caveat that some chapters are archived and may lag upstream versions). If you need finished video — text-to-video, image-to-video, frame-propagation edits in Aleph 2.0, or agent-built ad campaigns with regional localization — you're buying Runway Gen-4, and you should budget for credits rather than expect the 125 free ones to carry a real project. Pick by output: stills and custom models you control vs. video assets you ship on a timeline.
GeneratedStablediffusionbook vs Adobe Firefly Services
If you are deciding where to put money and engineering hours, the answer is that these are not substitutes. StableDiffusionBook costs nothing and gets a Chinese-speaking designer or hobbyist from zero to a running SDWebUi install and a trained LoRA — reach for it when your problem is 'I don't know how to start.' Adobe Firefly Services is what you buy when your problem is 'we need generative fill/extend at volume inside our CMS, with SOC2/FedRAMP and indemnified training data.' Buying Firefly does not teach you SDWebUi, and reading the book does not give you an enterprise API. Pick the one that matches your actual blocker.
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