`Supertonic`, Open-Weight On-Device TTS With ONNX Runtime

// related

• #0001

  #0001Generative mediaGeekNews2 days ago

  `OpenShorts`, Free Open-Source Clip Generator for AI UGC Videos

  70radar

  OpenShortsOpen-source video tool — turns long videos into vertical shorts

  Long videos can be turned into vertical shorts without paying another SaaS bill. The self-hosted setup fits repeatable TikTok, Reels, and YouTube Shorts pipelines.

  • —Self-hosted and open source means lower marginal cost than hosted clip tools once video volume grows.
  • —Targets TikTok, Reels, and YouTube Shorts, so the output format maps directly to the main short-form channels.
  • —Clip Generator converts long-form video into 9:16 shorts with moment selection and face tracking, reducing manual edit time.
  • —Three tools are bundled into one workflow. The useful test is whether it can replace separate clipping, reframing, and UGC-generation steps.

  Source: news.hada.io/topic?id=29715Read original →
• #0002

  #0002Generative mediar/ClaudeAI2 days ago

  `Remotion` + `Claude Code` launch-video workflow, no editor required

  50radar

  RemotionReact video framework — renders JSX to MP4

  Launch videos can be built like React pages, then rendered to MP4. Cheap, repeatable, and useful when you lack design tools.

  • —Remotion turns JSX into MP4, so Claude Code can generate scenes and animation logic using familiar React patterns.
  • —The repeatable motion stack is simple: crossfades, one easing curve, grain, vignette, and restrained SFX.
  • —The practical bar is editing discipline. Kill any scene that does not earn attention within 3 seconds.

  Source: www.reddit.com/r/ClaudeAI/comments/1tik0qe/coffee_claudeRead original →
• #0003

  #0003Generative mediaGeekNews3 days ago

  `Remove-AI-Watermarks`, CLI and Python Library for Cleaning AI Image Watermarks

  50radar

  Remove-AI-WatermarksCLI/Python library — removes AI watermarks and metadata

  Generated-image cleanup is moving into scriptable asset pipelines. Useful for metadata control, but visible watermark removal carries license and platform-policy risk.

  • —Handles Gemini, ChatGPT/DALL-E, Stable Diffusion, Adobe Firefly, and Midjourney outputs, so it targets the major image-generation stack.
  • —Combines visible watermark, hidden watermark, and AI metadata handling in one CLI/Python library; practical for batch asset workflows.
  • —The risky part is visible watermark removal. Before using it in products, check generator terms, stock rules, and app-platform review exposure.

  Source: news.hada.io/topic?id=29702Read original →