Ross ROSS = Recommend OSS · open-source software intelligence for agents

ModelTC/LightX2V

Lightweight Image Video Action Generation Inference Framework observed · 2026-08-28

github.com/ModelTC/LightX2V · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

64/100

  • Activity 99
  • Release rhythm 35
  • Longevity 37

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 527
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2733 stars · 260 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LightX2V is a lightweight, high-performance inference framework for image and video generation, supporting tasks like text-to-video, image-to-video, text-to-image, and image editing with models such as Wan, Hunyuan, LTX, and Qwen-Image. It provides end-to-end acceleration, an online studio, OpenAPI, and agent skills for AI video, image, and audio creation.

Use cases

  • generate videos from text prompts
  • animate a still image into a video
  • run wan video model inference faster
  • generate images from text
  • create digital human avatar videos
  • do motion transfer and character replacement
  • upscale and restore video quality
  • serve video generation behind an api

When to choose

  • you need efficient inference for diffusion-based video generation models like Wan, Hunyuan, or LTX
  • you want a unified framework covering text-to-video, image-to-video, and image editing
  • you need GPU-accelerated, production-ready video generation with an API or web studio
  • you want to run generation on limited hardware thanks to lightweight optimizations

When to avoid

  • you need to train or fine-tune video diffusion models from scratch rather than run inference
  • you need a general-purpose video editing suite rather than AI generation
  • your project requires models outside the supported Wan/Hunyuan/LTX/Qwen ecosystem

Facets

framework · maturity active

llm-inference image-processing video-processing machine-learning deep-learning gpu-computing artificial-intelligence deep-learning image-processing media developer-tools python cross-platform video-generation diffusion-models text-to-video image-to-video text-to-image wan-video hunyuan-video ltx-video qwen-image inference-optimization digital-human tts video linux gpu docker web-server

4 sources

Member repositories

RepositoryRoleHealth v2
ModelTC/LightX2Vmain64

For agents

markdown · JSON · MCP: product_card(name="ModelTC/LightX2V")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem