EG-FM Model Weights Access Application

Please complete this form to request access to the EG-FM model weights. Requests are reviewed manually.

Thank you for your interest in EG-FM. To support responsible use of the model weights, please provide accurate information below. Our team will normally review your request within 1 business days. Using an institutional, academic, or corporate email address may help us verify your application.

Log in or Sign Up to review the conditions and access this model content.

Energy-Guided Flow Matching (EG-FM)

Official checkpoint for Energy-Guided Flow Matching (EG-FM) on text-to-image generation at 512×512 resolution.

EG-FM introduces an image-specific, energy-guided moving endpoint to construct an explicit coarse-to-fine generation trajectory while requiring no changes to the backbone or training data.

Released models

Model Resolution Training DPG-Bench GenEval
PixelDiT-T2I 512×512 40,000 steps 83.9 0.85

For installation, checkpoint loading, inference, and evaluation commands, see the official GitHub repository.

License

The model weights are released under CC BY-NC 4.0. Commercial use is not permitted under this license.

Citation

@article{tong2026energy,
  title   = {Energy-Guided Flow Matching},
  author  = {Tong, Haoyang and He, Yu and Li, Fang and Ma, Lichen and Fu, Jingling and Chen, Dong and Chen, Zhen and Huang, Junshi and Cao, Jie},
  journal = {arXiv preprint arXiv:2608.05811},
  year    = {2026}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for ysng/EG-FM-T2I