Illusion Diffusion Web 记录了 1,705 月访问量，月度环比增长为 -21.1%，定价为付费。RunningHub 记录了 3,105,554 月访问量，增长率为 -28.5%，定价为免费增值。
把日常照片变成错视图像与超现实 AI 艺术
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | illusiondiffusionweb.com | runninghub.ai |
| 定价模式 | 付费 | 免费增值 |
| 月访问量 | 1705 (1,705) | 310.56万 (3,105,554) |
| 月度环比流量变化 | -456 (-21.1%) | -123.77万 (-28.5%) |
| 主要市场与份额 | 🇺🇸 美国 (87.5%) | 🇨🇳 中国 (52.7%) |
| 直接访问 / 月 | 671 | 229.72万 |
| 用户评分 | 3.8 | 4.4 |
| 支持的平台 | 网站 | 网站 |
把日常照片变成错视图像与超现实 AI 艺术
上传任意照片或选择图案，让 AI 算法将其重建为错视图像，从细微的质感变化到强烈的超现实效果都涵盖。
专用滑杆控制转换力度，既能保留原照片的可辨识度，也能推向纯粹抽象。
开放引导强度、ControlNet 参数、放大强度和随机种子，获得精准且可复现的结果。
除文字提示词外还可套用内置图案，创造经典轮廓、字体排版等多种错视风格。
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.
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
打造最惊艳文生图与视频模型的独立 AI 实验室
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
带每日挑战与免费额度的 AI 艺术生成器与创作者社区
在浏览器中，用简单的文字提示编辑、转换并增强照片。
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.
