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ATH-MaaS/Pixelle-Video

🚀 AI 全自动短视频引擎 | AI Fully Automated Short Video Engine observed · 2026-10-08

github.com/ATH-MaaS/Pixelle-Video · homepage · Python · Apache-2.0 (permissive) observed · 2026-10-08

Health v2 · maintenance only

61/100

  • Activity 79
  • Release rhythm 60
  • Longevity 24
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 3
  • age_days: 347
  • days_rel: 266
  • days_push: 128
  • n_releases_24m: 12

Full methodology

Adoption not part of the score

28735 stars · 4178 forks observed · 2026-10-08

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Pixelle-Video is an AI-powered fully automated short video engine that turns a single topic into a finished video. It automatically writes the script, generates AI images and video clips, synthesizes voiceover via TTS, adds background music, and composites the final video through a modular pipeline built on ComfyUI/RunningHub workflows or direct model APIs.

Use cases

  • generate short videos from a text topic automatically
  • create faceless youtube or tiktok videos with ai narration
  • automatically write video scripts with an llm
  • generate ai images and video clips for each scene
  • add text-to-speech voiceover and background music to videos
  • create digital human talking-head videos
  • batch produce short videos without editing experience

When to choose

  • you want one-topic-to-finished-video automation with zero editing skills
  • you want to swap in different LLM, image, video, and TTS providers via ComfyUI workflows or direct APIs
  • you need batch video creation with a web UI and multiple templates and aspect ratios

When to avoid

  • you need fine-grained manual control over every edit in a traditional video editor
  • you cannot access external AI model APIs or GPU-backed services like ComfyUI/RunningHub
  • you need long-form video production rather than short-form clips

Facets

application · maturity active

video-processing tts image-processing llm-inference stable-diffusion workflow-automation web-framework artificial-intelligence media large-language-models python cross-platform windows aigc short-video-generation comfyui text-to-video ai-narration digital-human faceless-video video automation docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
ATH-MaaS/Pixelle-Videomain61

For agents

markdown · JSON · MCP: product_card(name="ATH-MaaS/Pixelle-Video")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem