RunningHub 记录了 3,105,554 月访问量，月度环比增长为 -28.5%，定价为免费增值。WorkProcedures 记录了 3,371 月访问量，增长率为 +52.6%，定价为免费增值，免费试用，付费。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
AI SOP 生成器，几分钟内写出可供审计的作业程序
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | runninghub.ai | workprocedures.com |
| 定价模式 | 免费增值 | 免费增值，免费试用，付费 |
| 月访问量 | 310.56万 (3,105,554) | 3371 (3,371) |
| 月度环比流量变化 | -123.77万 (-28.5%) | +1162 (+52.6%) |
| 主要市场与份额 | 🇨🇳 中国 (52.7%) | 🇺🇸 美国 (70.4%) |
| 直接访问 / 月 | 229.72万 | 1323 |
| 用户评分 | 4.4 | 3.9 |
| 支持的平台 | 网站 | 网站 |
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
AI SOP 生成器，几分钟内写出可供审计的作业程序
描述一个流程，即可在两分钟内获得结构化的、扎根行业的 SOP 草稿，并附带来源引用。
上传任意格式的现有 SOP，获得审计风格评分以及关于完整性、清晰度、安全性和合规性的具体可修复问题。
依托 35 个以上行业的真实程序，从 HIPAA 医疗到 HACCP 餐饮、ISO 制造皆有覆盖。
一键应用建议修复，并获得库缺口分析，显示你缺失但应当具备的程序。
专项更强可安全商用的生成式 AI 工作空间，覆盖图像、视频、音频、矢量与多模型创意生产。
专项更强面向电影级视频与图像的 AI 原生创作套件
专项更强Civitai is a community-driven hub where people share, discover and run open-source image, video and 3D AI models, generate art in the browser, and compare LoRAs, checkpoints and workflows.
一站式 AI 视频、图像与智能体内容创作工作室
专项更强面向图像与视频的实时生成式 AI 工作室
专项更强在浏览器中免费生成 AI 图像与视频，并托管模型
专项更强Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
专项更强Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
