VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase f
Generate images using advanced AI techniques with a simple interface.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase f
VAR has 8.7k stars on GitHub. It has been forked 572 times. VAR is written mainly in Jupyter Notebook. It has been in active development since 2024. VAR is available under the MIT license. Its main topics are auto-regressive-model, autoregressive-models, diffusion-models, generative-ai.
What is VAR?
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase f
Is VAR open source?
VAR is an open-source project. It is released under the MIT license.
Is VAR free?
Yes. VAR is free and open source — you can use, modify and self-host it.
What license does VAR use?
VAR is available under the MIT license.
What language is VAR written in?
VAR is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/foundationvision-var.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.