T0UGH

T0UGH / videoclaw

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AI 视频创作 CLI 工具,深度集成 Seedance 2.0 + Nano Banana Pro 业界顶级模型,告诉 AI 你的想法,它会自动完成从素材生成到视频合成的全部工作,并支持自动发布到抖音、快手等平台。

31
10
89% credibility
Found Feb 27, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Videoclaw is a tool for creating AI-generated videos from text ideas by producing images, converting them to video clips, adding audio, merging content, uploading to cloud storage, and publishing to platforms like Douyin and Kuaishou.

How It Works

1
🎥 Discover videoclaw

You find a handy tool that lets you create cool videos just by describing your ideas to smart AI helpers.

2
💻 Set it up easily

You quickly get the tool running on your computer and link it to picture-making and video-creating services.

3
📁 Start your project

You name your video project and set up folders for pictures, clips, and sounds.

4
💡 Tell your story

You type a simple description of your video idea, like characters, scenes, and what happens.

5
Watch AI create

The tool makes matching pictures, turns them into moving video clips, adds voices and music.

6
🔗 Put it together

You blend the clips, preview the full video, and save it safely online.

🚀 Share your video

Your ready-to-watch video pops up on social apps or cloud storage, perfect for showing friends.

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AI-Generated Review

What is videoclaw?

Videoclaw is a Python CLI tool that turns text ideas into complete videos using top AI models like Seedance 2.0 for image-to-video and Nano Banana Pro for text-to-image or image-to-image generation. It handles the full pipeline—storyboarding, asset creation, audio synthesis, video merging, cloud uploads, and auto-publishing to platforms like Douyin and Kuaishou—via simple commands like `videoclaw init`, `t2i`, `i2v`, `audio`, `merge`, and `publish`. Run it anywhere with `uvx videoclaw` on Linux, Ubuntu, or Windows, configuring via API keys similar to a CLI GitHub token.

Why is it gaining traction?

It stands out by chaining elite models (Seedance 2.0 + Nano Banana Pro) into a zero-config pipeline that spits out publish-ready shorts, skipping manual asset hunting or editing. Devs dig the CLI-first design—pip install or uvx run, GitHub Actions deployable, even Claude Code skills integration like CLI GitHub Copilot for prompt-to-video. No fluff: describe once, get a social-ready clip with one flow.

Who should use this?

Content devs cranking Douyin/Kuaishou reels who hate stitching AI outputs manually. Indie creators scripting viral clips from prompts. Python scripters automating video gen in GitHub repos or workflows, especially on CLI GitHub Linux/Ubuntu setups.

Verdict

Grab it for bleeding-edge AI video automation if you're experimenting with Seedance 2.0 or Nano Banana Pro—early promise in a tidy CLI package. At 19 stars and 0.9% credibility score, it's raw (light tests, Chinese-focused docs), so test in a side project before prod; watch the repo for polish.

(198 words)

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