BudgetAny/BudgetPix-MiniT2I
Text-to-Image • Updated
BudgetAny
community
AI & ML interests
None defined yet.
Recent Activity
Organization Card
🌐 Web page | 📄 Paper | 💻 GitHub
Generative models that run at any compute budget. BudgetAny collects open-source implementations of compute-adaptive ("budget") tokenization. A generative model is fine-tuned so that one checkpoint runs on a variable number of tokens, chosen at inference: detailed content keeps fine tokens, simple content is merged into coarse ones, and compute and memory fall with the token count.
Unofficial, open-source implementation. The method comes from BudgetPix: Compute-Adaptive Tokenization for Pixel-Space Image Diffusion (Kara et al., 2026). The code and models here are a community reimplementation and extension of it, not an official release, and BudgetAny is not a company, a lab or a formal organisation: the name only groups the repositories.
Categories
| Category | Task | Code | Page | Paper | |
|---|---|---|---|---|---|
 |
BudgetPix | pixel-space image generation | BudgetPix | budgetpix | arXiv:2610.12307 |
 |
Budget3D | image-to-3D generation (3D Gaussian splats) | Budget3D | budget3d | tech report coming soon |
 |
BudgetLatent | latent-space image generation | coming soon | budgetlatent | tech report coming soon |
Models
BudgetPix
| Model repository | Base model | Task | License of the weights |
|---|---|---|---|
| BudgetAny/BudgetPix-JiT | JiT B/16, B/32, L/16, L/32 | class-conditional ImageNet, 256 and 512 px | MIT |
| BudgetAny/BudgetPix-pMF | pixel MeanFlow L/16 | one-step class-conditional ImageNet, 256 px | MIT |
| BudgetAny/BudgetPix-MiniT2I | MiniT2I B/16, L/16 | text-to-image, 512 px | MIT |
| BudgetAny/BudgetPix-PixelDiT | PixelDiT-T2I 1.3B | text-to-image, 1024 px | NVIDIA License (NSCLv1), non-commercial |
Budget3D
| Model repository | Base model | Task | License of the weights |
|---|---|---|---|
| BudgetAny/Budget3D-Idol | speridlabs/idol | image-to-3D, 50 steps | Apache-2.0 |
| BudgetAny/Budget3D-Idol-Turbo | speridlabs/idol-turbo | image-to-3D, 5 steps | Apache-2.0 |
BudgetLatent
Coming soon.
Citation
If you use these models or the code, please cite the BudgetPix paper, and BudgetAny:
@article{kara2026budgetpix,
title={BudgetPix: Compute-Adaptive Tokenization for Pixel-Space Image Diffusion},
author={Ozgur Kara and Yujia Chen and Daniel Watson and David Forsyth and James Matthew Rehg and Wen-Sheng Chu and Du Tran},
journal={arXiv preprint arXiv:2610.12307},
year={2026}
}
@misc{budgetany2026,
title={BudgetAny: Generative Models at Any Compute Budget},
author={Ozgur Kara},
year={2026},
howpublished={\url{https://budgetany.github.io}}
}
Built on JiT, pixel MeanFlow, MiniT2I, PixelDiT, Idol and Idol-turbo, FLUX.2, DINOv3 and APT.
We acknowledge the compute support of the Health Care Engineering Systems Center within the Coordinated Science Lab at UIUC.