DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors
Hello HN! We have released a major update of our image-to-video diffusion model, DynamiCrafter, with better dynamic, higher resolution, and stronger coherence. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. Please check our project page and paper for more information. We will continue to improve the model's performance. Comparisons with Stable Video Diffusion and PikaLabs can be found at https://www.youtube.com/watch?v=0NfmIsNAg-g Online demo:…
DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors launched on February 7, 2024 with 6 votes and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors - DynamiCrafter/README.md at main · Doubiiu/DynamiCrafter
In the maker’s words, at launch
Hello HN! We have released a major update of our image-to-video diffusion model, DynamiCrafter, with better dynamic, higher resolution, and stronger coherence. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. Please check our project page…
Does a similar job
all alternatives →
DynamiCrafter: Animating open-domain images with video diffusion priors2023 · github.com · ▲40Hello HN! I would like to show our recent research project: DynamiCrafter. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. It supports: - Image-to-video generation - Storytelling video generation - Looping video generation - Generative frame interpolation We have released source code at https://github.com/Doubiiu/DynamiCrafter and deployed a demo at https://huggingface.co/spaces/Doubiiu/DynamiCrafter Please also refer to…
Create your own video clips with Stable Diffusion2023 · neuralframes.com · ▲247A few months ago, I started making video clips with stable diffusion and noticed that the tools to do this were too complicated for everyday people. That's why I built neural frames. Enjoy.


Ideogram 4.0 – open-weight 9.3B text-to-image modelJun 2026 · github.com · ▲46It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)

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