| --- |
| license: other |
| license_name: research-and-educational-use-license |
| license_link: https://github.com/SNU-VGILab/improvedSelfDistillation/blob/main/LICENSE |
| --- |
| |
| # improved Self-Distillation |
|
|
| Pretrained weights and evaluation assets for |
| [Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation](https://arxiv.org/abs/2601.22679). |
|
|
| Code and instructions are available in the |
| [GitHub repository](https://github.com/SNU-VGILab/improvedSelfDistillation). |
|
|
| ## Contents |
|
|
| - `outputs/`: pretrained checkpoints |
| - `buffers/vaes/`: VAE checkpoints and latent statistics |
| - `buffers/refs/`: reference files for FID evaluation |
|
|
| | Checkpoint | Network | Steps | FID50K | |
| | --- | --- | --- | --- | |
| | `2026.02.15KST14.22.08-base4` | FlowMapTiT-B/4 (SD-VAE, TrigFlow) | 400K | 14.58 | |
| | `2026.01.18KST19.26.11-xlarge1` | ADiT-XL/1 (VA-VAE, Linear) | 600K | 2.30 | |
|
|
| ## Usage |
|
|
| Place the downloaded `outputs` and `buffers` directories at the top level of |
| the code repository, then run the provided training or evaluation scripts. |
|
|
| ```bash |
| bash eval.sh |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{kim2026stabilizingconsistencytrainingflow, |
| title={Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation}, |
| author={Youngjoong Kim and Duhoe Kim and Woosung Kim and Jaesik Park}, |
| year={2026}, |
| eprint={2601.22679}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.LG}, |
| url={https://arxiv.org/abs/2601.22679}, |
| } |
| ``` |
|
|
