Doubiiu/DynamiCrafter
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors observed · 2026-08-28
Health v2 · maintenance only
27/100
- Activity 0
- Release rhythm 35
- Longevity 72
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1010
- days_rel: n/a
- days_push: 724
- n_releases_24m: 0
Adoption not part of the score
3007 stars · 243 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DynamiCrafter is an open-source research model that animates open-domain still images into short videos using pre-trained video diffusion priors, guided by text prompts. It includes training/fine-tuning code, pretrained weights at multiple resolutions, and generative frame interpolation and looping video capabilities.
Use cases
- animate a still image into a video with a text prompt
- convert a photo to a short video clip
- generate video from a single image using diffusion models
- do generative frame interpolation between images
- create looping videos from still images
- fine-tune an image-to-video diffusion model
- make AI-generated story shots move
When to choose
- you need research-grade image-to-video generation with text motion control
- you want to fine-tune or train an image animation model yourself
- you need frame interpolation or looping video generation from stills
- you want a model with strong VBench I2V benchmark performance
When to avoid
- you need production video editing rather than generative animation
- you lack a GPU or cannot run large diffusion models locally
- you need long-form or high-fidelity commercial video generation
- you want a polished end-user app rather than a research codebase
Facets
library · maturity active
image-processing video-processing machine-learning deep-learning computer-vision image-processing artificial-intelligence deep-learning python image-to-video video-diffusion diffusion-models frame-interpolation text-guided-animation eccv-2024 generative-ai video gpu linux
2 sources
- readme: https://github.com/Doubiiu/DynamiCrafter · fetched 2026-08-28 · 0d95ff6888a4
- homepage: https://doubiiu.github.io/projects/DynamiCrafter/ · fetched 2026-08-29 · 137bcfe5442a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Doubiiu/DynamiCrafter | main | 27 |
For agents
markdown · JSON · MCP: product_card(name="Doubiiu/DynamiCrafter")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem