Adobe Firefly 是面向企业的图像生成线:授权内容训练+输出赔偿是它的采购卖点, 嵌 Adobe 生态(独立线+CAdobe Firefly is the enterprise-grade design AI line (standalo
AI 工具AI Tools · Image
AI 图像创作AI image creation
图像生成产品:文生图、编辑工作台、聚合模型入口。八维按消费级读法;permissions 维必答产物商用授权与训练用途——「能生成」≠「能商用」。Image-generation products: text-to-image, editing workbenches, aggregated-model front ends. The eight axes are read the consumer way; the permissions axis must answer commercial use and training consent — "you can generate it" is not "you can sell it".
- 本站按 10 大类收录 AI 产品。编程、对话、图像、视频、音频、研究、自动化、框架、MCP 工具、本地运行器——每类都有明确的收录标准,写在各大类的目录页里。This site files AI products into 10 categories. Coding, chat, image, video, audio, research, automation, frameworks, MCP tools and local runners — each with explicit admission criteria, written on the category page itself.
- 大类看目录,形态看字段。一个产品属于哪一类由收录边界决定;它怎么装进你的工作流(IDE / CLI / 厂商云 / 框架 / MCP…)是另一根独立的轴。Category comes from the shelf, form from a field. Which category a product belongs to is decided by admission boundaries; how it installs into your workflow (IDE / CLI / vendor cloud / framework / MCP…) is a separate axis.
- 每条档案都是核验快照。字段逐条挂官方出处与核验日期,本站不实测、不排名,未知就写未知。Every entry is a verification snapshot. Each field carries an official source and a checked date; we run no benchmarks, publish no rankings, and write "unknown" when it is unknown.
全部对象All objects
按统一坐标系排列。点开任一对象可看到 模型与开放条件 / 运行位置 / 本地文件 / 关机后的任务 / 工具与扩展 / 上下文与记忆 / 权限与限制 / 适合什么任务 的完整记录、证据链接与未知项清单。Everything on one coordinate system. Open any object to see its full record across Model & openness / Where it runs / Local files / Tasks after shutdown / Tools & extensions / Context & memory / Permissions & limits / Best for, with source links and a list of unknowns.
ClipdropClipdrop
Clipdrop 是「单图原子操作」的图像编辑工具集:抠图/去物/重打光(招牌 Relight)/放大/扩图各成一工具; 归Clipdrop is the single-image atomic-operation toolkit: cutout/
FLUX(Black Forest Labs)FLUX (Black Forest Labs)
图像模型家族的双路线供应商:官方 API/playground 托管生成,部分权重开源可自托管甚至进端侧; 「不主张所有权、The dual-route supplier of the FLUX model family: hosted gener
IdeogramIdeogram
Ideogram 以「图内排版文字」见长:4.0 开放量化权重(非商用免费/商用自托管需许可), 4.5 闭源托管主打 prIdeogram is the typography-first image generator (text renderi
即梦Jimeng AI
即梦是字节剪映系的「中文出图 + 视频」C 端入口(Seedream 图片 / Seedance 视频): 抖音生态发布链路Jimeng is ByteDance's dedicated image/video creation console (
KreaKrea
Krea 是「实时生成 + 多模型聚合」的创作台:边画边出的实时线是招牌,官网聚合 64+ 家模型 (Veo/IdeograKrea is the real-time + multi-model aggregation console: draw-
Leonardo AILeonardo AI
Leonardo 是游戏资产向的图像创作台:自研 Phoenix/Lucid 线 + Element 小样本训练做风格一致性Leonardo is the game-asset-oriented image console: self-develo
Microsoft DesignerMicrosoft Designer
Microsoft Designer 是微软生态的免费 AI 设计入口(模板+生成一体,模型由微软路由): 与 CopiloMicrosoft Designer is the free design entry of the Microsoft e
MidjourneyMidjourney
图像生成平台:网页 + Discord 双线,社区默认公开可 Remix; 「付费拥有 Assets、但大营收公司要高档位」An image-generation platform: web + Discord dual line, communi
PlaygroundPlayground
Playground 是「设计成品」向的 AI 设计台:模板+Smart Layers 图层编辑把点子变成贴纸/T 恤/海报Design-bench AI (templates + layers, print merch); generation
RecraftRecraft
Recraft 是设计向图像台里罕见的「矢量原生」:真 SVG 输出、brand kit 品牌一致性、图内文字精确定位; 免Recraft is the rare vector-native design console: true SVG out
SeaArtSeaArt
SeaArt 是二次元/插画向的社区型聚合创作台:云端 LoRA 训练+导出、社区模型库(许可逐模型标注)、 多家第三方模型SeaArt is the community-type anime/illustration aggregation co
「平台 + 开源权重」双路线的图像厂商:平台输出所有权转让给用户, 训练退出写在条款里;开源线自托管商用要逐模型看许可证。The image vendor on the “platform + open weights” dual route:
Tensor.ArtTensor.Art
Tensor.Art 是 SD 生态的社区模型托管+在线生成台:checkpoint/LoRA 上传分享与在线跑、在线 LoCommunity model hosting + online generation bench (SD ecosyste
通义万相Tongyi Wanxiang (Wan)
通义万相是「云端产品 + Apache-2.0 开源权重」双轨的国产图视频创作台(Wan 系列): 合规敏感场景可本地跑,备Tongyi Wanxiang is Alibaba's image/video creation console with
本站目前是「核验快照」,还没有实测数据This site is currently a verification snapshot — no measured runs yet
下面每一个字段都能回到官方原文核对,但我们还没有在同一批任务上跑过这些工具。Every field below can be traced back to the official source, but we have not yet run these tools on the same batch of tasks. 实测协议已经写好(统一任务、统一验收、记录人工介入与返工次数),任务清单也已就绪,The measurement protocol is written (shared tasks, shared acceptance criteria, recording human interventions and rework counts) and the task list is ready, but it is 尚未执行。not yet run.
所以本站给的是能力边界与证据,不是「哪个更好用」的结论。So what this site gives you is capability boundaries and evidence, not a verdict on which is better to use. 真正的选型请用你自己的输入、预算与验收标准跑一遍。For an actual choice, run them yourself against your own inputs, budget and acceptance criteria.
8 个维度,每格都能回溯8 dimensions, every cell traceable
所有对象在同一坐标系下被描述。All objects are described on the same coordinate system. 点开任一对象,每一格下面都有官方源链接与核验日期——不认同可以自己回去查。Open any object and every cell carries an official source link and a checked date — disagree and verify it yourself.
模型与开放条件Model & openness
用谁的模型?能不能换第三方?多模型路由怎么配?Whose model does it use? Can you switch to a third party? How is multi-model routing configured?
运行位置Where it runs
本地 / 云端 / 混合?索引在本地还是云端?远程控制不等于云端执行。Local, cloud or hybrid? Is the index local or remote? Remote control is not the same as cloud execution.
本地文件Local files
能访问多大范围?未打开的大文件怎么读?符号级能力如何?How wide an area can it reach? How does it read large files you have not opened? How capable is it at the symbol level?
关机后的任务Tasks after shutdown
电脑关了还能继续跑吗?这是本地形态最常见的误解来源。Does it keep running once the computer is off? This is the most common misconception about local forms.
工具与扩展Tools & extensions
工具链有多宽:MCP · LSP · 插件 · Hooks · 自定义指令。How wide is the toolchain: MCP · LSP · plugins · hooks · custom instructions?
上下文与记忆Context & memory
索引算法、上下文窗口、会话恢复与分叉、跨会话记忆边界。Indexing algorithm, context window, session resume and fork, and the boundary of cross-session memory.
权限与限制Permissions & limits
沙箱与审批边界、凭据管理、数据是否出境、额度如何计算。Sandbox and approval boundaries, credential handling, whether data leaves your machine, and how quota is charged.
适合什么任务Best for
最擅长什么任务?什么情况下别用它?What tasks is it best at? When should you not use it?
全部数据一览All data at a glance
同一张表横向对比。点对象名进详情页看逐格证据。The same table side by side. Click an object name to see per-cell evidence.
| 对象Object | 形态Form | 厂商Vendor | 适合Best for | 核验日Checked | 状态Status |
|---|---|---|---|---|---|
| AdADAdobe FireflyAdobe Firefly | 网页服务Web service | Adobe | 适合:企业合规采购(赔偿+授权训练叙事)、已在 Adobe 生态、设计到交付链路。 不适合:脱离 Adobe 账号体系、要开放权重本地跑(FFits: enterprises needing licensed-training + indemnification narrativ | 2026-10-22 | partial |
| ClCLClipdropClipdrop | 网页服务Web service | Jasper(原 InitML,2023 并入 Stability AI,2024-02 售予 Jasper)Jasper (formerly InitML; via Stability AI 2023, sold to Jasper Feb 2024) | 适合:单图原子操作(抠图/去物/重打光/放大)批量处理、电商产品图工作流、API 集成进自有产品。 不适合:创作向生成(文生图只是配角)、风Fits: e-commerce product-image batches, atomic operations (cutout/reli | 2026-10-22 | partial |
| FLFLFLUX(Black Forest Labs)FLUX (Black Forest Labs) | 厂商云形态Vendor cloud | Black Forest Labs | 要接 FLUX 官方 API、或想自托管开源 FLUX 权重的人/团队。托管与自托管许可路径不同, 商用前先确认走哪条;做模型训练的人注意 Teams integrating the FLUX API or self-hosting open weights. Anyone do | 2026-10-30 | partial |
| IdIDIdeogramIdeogram | 网页服务Web service | Ideogram | 适合:图内排版文字要求高(海报/品牌物料)、要开放权重非商用研究+商业自托管路径、要官方 MCP 接入 agent 流。 不适合:要免费商用Fits: posters/packaging with in-image text, typography-heavy output, t | 2026-10-22 | partial |
| 即梦JI即梦Jimeng AI | 网页服务Web service | 字节跳动(剪映团队)ByteDance (Jianying/CapCut team) | 适合:中文语义出图、图片与视频一条链路、抖音生态发布链路。 不适合:要模型自选、要无水印免费出图(水印与档位绑定)、要本机跑模型。Fits: domestic users' image+video one-stop creation, digital-human/sho | 2026-10-22 | partial |
| KrKRKreaKrea | 网页服务Web service | Krea | 适合:实时交互创作(边画边看)、一个平台切换多家模型、LoRA 训练免本地环境。 不适合:要开放权重、要离线、要单模型深度参数控制。Fits: real-time interactive creation, switching among many models in o | 2026-10-22 | partial |
| LeLELeonardo AILeonardo AI | 网页服务Web service | Leonardo(2024-07 被 Canva 收购)Leonardo (acquired by Canva, Jul 2024) | 适合:游戏资产/概念图工作流、Element 训练做风格与角色一致性、聚合平台内选模型。 不适合:要开放权重离线跑、要脱离账号、要单模型深度Fits: game concept art/texture batches, Element training for style/cha | 2026-10-22 | partial |
| MiMIMicrosoft DesignerMicrosoft Designer | 网页服务Web service | 微软Microsoft | 适合:微软生态用户的轻量设计产出(社交图/海报模板+AI 生成)、免费起步。 不适合:要模型自选、要开放权重、要脱离微软账号。Fits: Microsoft-ecosystem lightweight design (social graphics/posters) | 2026-10-22 | partial |
| MiMIMidjourneyMidjourney | 网页服务Web service | Midjourney, Inc. | 重图像风格质量、能接受「默认公开」社区形态的人。要作品不公开或商用归属清晰, 先看订阅档与 Stealth 条款再开工;大体量公司注意营收门Creators who care about image style quality and accept the “public by | 2026-10-30 | partial |
| PlPLPlaygroundPlayground | 网页服务Web service | AI Playground, Inc. | 适合:贴纸/T 恤/海报/logo 一类成品设计流、模板+图层编辑工作流、一个界面用多家生图模型。 不适合:要自研模型线(已转向第三方聚合)Fits: finished-design flows (merch/posters/logos), template + non-dest | 2026-10-31 | partial |
| ReRERecraftRecraft | 网页服务Web service | Recraft | 适合:设计向产出(logo/图标/插画要可编辑 SVG)、品牌一致性(brand kit)、图内文字精确排版。 不适合:免费商用(免费档不可Fits: logo/icon/illustration as editable SVG, brand consistency (brand | 2026-10-22 | partial |
| SeSESeaArtSeaArt | 网页服务Web service | 海艺(成都海艺互娱)Haiyi (Chengdu Haiyi Huyu) | 适合:二次元/插画向社区生态、云端 LoRA 训练+导出 ComfyUI、一个平台聚合多家模型、下载社区模型。 不适合:要官方自研前沿模型(Fits: anime/illustration community ecosystem, cloud LoRA training then | 2026-10-22 | partial |
| StSTStability AI(Stable Image 平台)Stability AI (Stable Image platform) | 网页服务Web service | Stability AI | 想要「平台服务 + 可自托管开源模型」两条线都摸得到的人。商用条款平台版与开源版不同,分开读; 对训练数据合规敏感的场景可关注其「全授权数据People who want both a hosted platform and local open models — both ro | 2026-10-30 | partial |
| TeTETensor.ArtTensor.Art | 网页服务Web service | ECHO INTERNATIONAL HK LIMITED(Tensor.Art) | 适合:免费 credit 生图+社区模型寻宝(SD 生态)、在线 LoRA 训练、模型分享社区。 不适合:要官方自研前沿模型(它是托管+基础Fits: free-credit generation, community model treasure hunts, online L | 2026-10-31 | partial |
| 通义TO通义万相Tongyi Wanxiang (Wan) | 网页服务Web service | 阿里巴巴Alibaba | 适合:要「云端产品 + 开源权重」双轨(合规敏感场景可本地跑)、图+视频同族、中文语义。 不适合:要完全托管长任务、要脱离阿里账号的产品端体Fits: image+video creation with an open-weights twin (Wan Apache-2.0 r | 2026-10-22 | partial |
为什么这里不给总分排名Why there is no overall ranking
这不是省略,是方法上的明确取舍。This is not an omission but a deliberate methodological choice.
- 缺统一实测,就不给分。跨工具的跑分口径不同——题目、预算、执行环境都不一样,A 的 90 分和 B 的 88 分不可比。No shared measurement, no score. Benchmarks across tools use different rules — different questions, budgets and environments. A 90 and a B 88 are not comparable.
- 「未知」是合法答案。查不到就写「未知」并说明为什么,不用推测填充。缺信息本身也是信息。"Unknown" is a legitimate answer. If it cannot be found, we write "unknown" and explain why, instead of filling the gap with guesses. Missing information is itself information.
- 来源链接、类型与核验日都在详情页里,可以逐条回去复核。The source link, its kind and the checked date are all on the detail page, so you can walk any of them back and re-check.
- lifecycle 单独标注。核验日新不等于数据有效——上游归档后数据会失效,所以单独标
active/maintenance/archived。lifecycle is marked separately. A recent check date does not mean the data is still valid — it goes stale when upstream archives the repo, soactive/maintenance/archivedare tracked separately. - 不同族不混排。找现成的、自己搭的、接上与跑起来的是三种角色,坐标系不同;硬合成一张总表只会制造假的可比性。Families are not mixed. Ready-made tools, things you build yourself, and plug-in-and-run components are three different roles with different coordinate systems; forcing them into one master table would manufacture false comparability.
可信度标记怎么读How to read the confidence marks
详情页与上表都带Both the detail pages and the table above carry confidence,它反映, which reflects 本站数据的完整度how complete this site's data is,不是对产品的评价。, not a judgement of the product.
| verified | 8 个维度均有官方源支撑,且核验日在 90 天内all 8 dimensions have official sources and were checked within 90 days |
|---|---|
| partial | 部分维度标为未知,或官方文档不可访问,或核验日超过 90 天some dimensions are marked unknown, or the official docs were unreachable, or checked over 90 days ago |
| stale | 官方已发布重大变化,本站尚未核验the vendor has shipped a significant change that this site has not re-checked |
本站当前的完整度Current completeness on this site
数据层用Recheck this figure with node scripts/audit-gaps.mjs 可随时复核这个数字。.
下表实时计算(本页档案最后核验日 2026-10-31):Computed from current data; profiles last checked 2026-10-31:
| 大类Category | 已补齐Filled | 说明Meaning |
|---|---|---|
| 图像生成Image generation | 76/120 | 创作产品的条款密度高(商用与训练授权是重点),模型与数据细节常不公开Creation products have dense terms (commercial and training licensing matter most); model and data details often stay undisclosed |
全站合计 1372/1896 维度已补齐Site-wide 1372/1896 dimensions filled(72%)
剩余未补齐项分三类:官方未公开(索引算法、沙箱实现细节本就不对外说明)、需实测才能确定(大仓库表现、CI 无 TTY 行为)、客观渠道不可达。The remaining gaps fall into three kinds: not disclosed by the vendor (indexing algorithms, sandbox internals are simply not documented), requires measurement (behaviour on very large repositories, CI without a TTY), and unreachable through objective channels.
我们选择留白而不是填「已支持」——错误的成本最终由使用者承担。We chose to leave a blank rather than fill in "supported" — the cost of an error is ultimately borne by whoever uses it.
数据来源与复核方式Sources and how to re-check them
全部数据来自开源仓库All data comes from the open-source repository speculcom/ai-handbook(CC BY 4.0)。 (CC BY 4.0).
每个条目都是纯 Markdown + frontmatter,含维度记录、证据链接、核验日与可信度标记。仓库内含:Every entry is plain Markdown plus frontmatter, carrying dimension records and an evidence chain with links, checked dates and confidence marks. The repository contains:
tools/METHODOLOGY.md—— 方法论总纲与核心规则the methodology charter and core rulestools/axes/—— 每个维度的定义与判定标准(含正反例)the definition and decision criteria for each dimension (with positive and negative examples)tools/SCHEMA.md—— 数据格式规范与构建校验规则the data-format spec and build validation rulestools/protocols/<大类><category>/_protocol.md—— 实测协议(the measurement protocol (尚未执行not yet run,故本站暂无实测结论), so this site has no measured conclusions)
发现错误或有新证据,欢迎提 Issue 或 PR——每条修正都会注明依据与影响范围。Found an error or have new evidence? Open an issue or a PR — each correction notes its basis and blast radius.