# Doubiiu/ToonCrafter

[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation

Repository: https://github.com/Doubiiu/ToonCrafter
Canonical: https://ross.abutalabs.com/products/tooncrafter
Homepage: https://doubiiu.github.io/projects/ToonCrafter/
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-03-19T06:43:54+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 12, release rhythm 35, longevity 59
- inputs: {"age_days": 827, "days_push": 532, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6003, forks 528 (observed 2026-08-28T04:09:34.197420+00:00)

## What it is
ToonCrafter is a generative model that interpolates two cartoon images into a short animation by leveraging pre-trained image-to-video diffusion priors. Published at SIGGRAPH Asia 2024, it also supports sparse sketch guidance and reference-based sketch colorization.

## Use cases
- generate in-between frames between two cartoon drawings
- interpolate anime keyframes into a short video clip
- colorize cartoon sketches using reference images
- guide cartoon animation generation with sparse sketches
- create animation from start and end frames with AI
- cartoon video generation from still images

## When to choose
- you need generative interpolation tailored to cartoon/anime styles where classical frame interpolation fails
- you want sketch colorization or sketch-guided cartoon animation from a research-grade model
- you need a published, reproducible model with demo endpoints (Hugging Face, Replicate, Colab)

## When to avoid
- you need real-time or production video interpolation at high resolution (outputs are 512x320 and diffusion-based, so slow)
- you work with photorealistic video rather than cartoon/anime content
- you need a polished end-user application rather than a research codebase requiring a GPU

## Facets
- artifact type: library
- maturity: stable
- function: machine-learning, deep-learning, video-processing, image-processing, stable-diffusion
- domain: computer-vision, image-processing, artificial-intelligence, deep-learning
- platform: python
- tags: cartoon-interpolation, image-to-video, diffusion-models, animation, in-betweening, sketch-colorization, generative-ai, research-code, video, gpu, linux

## Member repositories
- Doubiiu/ToonCrafter (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.197420+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 2026-08-29T17:49:48.291170+00:00, confidence not recorded.
  - readme: https://github.com/Doubiiu/ToonCrafter (fetched 2026-08-28T04:09:34.197420+00:00, sha 0882f75f1474)
  - homepage: https://doubiiu.github.io/projects/ToonCrafter/ (fetched 2026-08-29T08:45:44.843266+00:00, sha 79573a74ed8b)
- Data as of 2026-08-30T08:39:29.467469+00:00.