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State-Space-Flow-Matching-for-Shortcut-Generation
NYCU-MLLab/State-Space-Flow-Matching-for-Shortcut-Generation
State-Space-Flow-Matching-for-Shortcut-Generation is a machine learning model from NYCU-MLLab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
This repository contains four SSFM student transformer checkpoints for the Sana 1024px pipeline. The repository contains student transformer weights only; the base pipeline is downloaded separately.
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Public
Updated Aug 24, 2026
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At a glance
- Library
- diffusers
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 24, 2026
- SHA
- a6b612ba
Model card
From the Hugging Face model README
SSFM Model Variants
This repository contains four SSFM student transformer checkpoints for the Sana 1024px pipeline. The repository contains student transformer weights only; the base pipeline is downloaded separately.
Models
| Directory | Variant | Supported steps | Notes |
|---|---|---|---|
SSFM_fixed_2 | Fixed-step SSFM | 2 | EMA student checkpoint |
SSFM_fixed_4 | Fixed-step SSFM | 4 | EMA student checkpoint |
SSFM_unified_24 | Unified SSFM | 2, 4 | EMA student checkpoint |
SSFM_unified_124 | Unified SSFM | 1, 2, 4 | EMA student checkpoint |
Base model
Use the official Sana Sprint teacher pipeline:
Efficient-Large-Model/Sana_Sprint_0.6B_1024px_teacher_diffusers
The official base model is not duplicated in this repository.
File layout
Each model directory contains:
config.json
diffusion_pytorch_model.safetensors
Use the selected directory as the STUDENT_MODEL_DIR, FIXED2_MODEL_DIR, or
FIXED4_MODEL_DIR path in the SSFM GitHub code.
License and attribution
These checkpoints are derived from the Sana/Sana-Sprint model family. Please follow the upstream model license and terms when using or redistributing the weights:
https://huggingface.co/Efficient-Large-Model/Sana_Sprint_0.6B_1024px_teacher_diffusers
- Library
- diffusers
- Created
- Aug 21, 2026
- Updated
- Aug 24, 2026