# showlab/Show-1

[IJCV] Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Repository: https://github.com/showlab/Show-1
Canonical: https://ross.abutalabs.com/products/show-1
Homepage: https://showlab.github.io/Show-1/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-09-13T02:49:54+00:00

## Health v2 (maintenance only)
Score: 46/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 41, release rhythm 35, longevity 76
- inputs: {"age_days": 1071, "days_push": 354, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1148, forks 59 (observed 2026-08-28T04:03:46.203543+00:00)

## What it is
Show-1 is a research codebase implementing a text-to-video generation model that combines pixel and latent diffusion models, published at IJCV by Show Lab, NUS. It provides inference scripts and pretrained weights (base, interpolation, and super-resolution stages) for generating short videos from text prompts.

## Use cases
- generate videos from text prompts
- run text-to-video diffusion model inference
- research pixel and latent diffusion for video generation
- reproduce IJCV paper results
- super-resolve and interpolate generated video frames
- try a text-to-video model on GPU or Colab

## When to choose
- you want to generate short videos from text descriptions
- you are researching hybrid pixel/latent diffusion architectures
- you need a published, paper-backed text-to-video baseline
- you want pretrained text-to-video weights on HuggingFace

## When to avoid
- you need production-grade, fast video generation
- you lack a capable GPU
- you need permissively licensed code for commercial use
- you want actively developed features or long-form video output

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, machine-learning, video-processing, stable-diffusion, llm-inference
- domain: deep-learning, machine-learning, artificial-intelligence, image-processing
- platform: python
- tags: text-to-video, diffusion-models, video-generation, generative-ai, research-code, pixel-diffusion, latent-diffusion, video, gpu, linux, docker

## Member repositories
- showlab/Show-1 (main) score 46

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.203543+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:52.080502+00:00, confidence not recorded.
  - readme: https://github.com/showlab/Show-1 (fetched 2026-08-28T04:03:46.203543+00:00, sha a317a731c7b2)
  - homepage: https://showlab.github.io/Show-1/ (fetched 2026-08-29T12:39:04.791673+00:00, sha d92f455a121e)
- Data as of 2026-08-30T08:39:29.467469+00:00.