link to aura-sr

app.py

@@ -167,8 +167,8 @@ with gr.Blocks(css=css, theme=gr.themes.Base()) as demo:
                     The FlexTok decoder is a rectified flow model. The following settings control the seed of the initial noise, the number of denoising timesteps, 
                     the guidance scale, and whether to perform [Adaptive Projected Guidance](https://arxiv.org/abs/2410.02416) (we recommend enabling it).
                     
-                    This FlexTok model operates at 256x256 resolution. You can optionally super-resolve the reconstructions to 1024x1024 using Aura-SR for
-                    sharper details, whithout changing the underlying reconstructed image too much.
+                    This FlexTok model operates at 256x256 resolution. You can optionally super-resolve the reconstructions to 1024x1024 using 
+                    [Aura-SR](https://huggingface.co/fal/AuraSR) for sharper details, whithout changing the underlying reconstructed image too much.
                     """)
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=1000)
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=False)