Update README.md

README.md

@@ -44,6 +44,8 @@ TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching a
 
 </div>
 
+* Powered by **Stability AI**
+
 ## Model Overview
 
 TangoFlux consists of FluxTransformer blocks which are Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT), conditioned on textual prompt and duration embedding to generate audio at 44.1kHz up to 30 seconds. TangoFlux learns a rectified flow trajectory from audio latent representation encoded by a variational autoencoder (VAE). The TangoFlux training pipeline consists of three stages: pre-training, fine-tuning, and preference optimization. TangoFlux is aligned via CRPO which iteratively generates new synthetic data and constructs preference pairs to perform preference optimization.
@@ -69,6 +71,13 @@ audio = model.generate('Hammer slowly hitting the wooden table', steps=50, durat
 
 Audio(data=audio, rate=44100)
 ```
+
+## License
+
+The TangoFlux checkpoints are for non-commercial research use only. They are subject to the [Stable Audio Open’s license](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE.md), [WavCap’s license](https://github.com/XinhaoMei/WavCaps?tab=readme-ov-file#license), and the original licenses accompanying each training dataset.
+
+This Stability AI Model is licensed under the Stability AI Community License, Copyright © Stability AI Ltd. All Rights Reserved
+
 ## Citation
 
 https://arxiv.org/abs/2412.21037