Update app.py

app.py

@@ -112,7 +112,7 @@ with gr.Blocks(css=css) as demo:
         # ⚡ Flash Diffusion: FlashSD3 ⚡
         This is an interactive demo of [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/), a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
         Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin* from Jasper Research.
-        [This model](https://huggingface.co/jasperai/flash-sd3) is a **90.4M** LoRA distilled version of [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium) model that is able to generate 1024x1024 images in **4 steps**.
+        [This model](https://huggingface.co/jasperai/flash-sd3) is a **90.4M** LoRA distilled version of [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium) model that is able to generate 1024x1024 images in **4 to 8 steps**.
         Results can be compared with the teacher model [here](https://huggingface.co/spaces/stabilityai/stable-diffusion-3-medium).
         Currently running on {power_device}.
         """
@@ -163,7 +163,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=3.0,
                     step=0.1,
-                    value=2.0,
+                    value=0.0,
                 )
                 
                 num_inference_steps = gr.Slider(
@@ -171,7 +171,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=4,
                     maximum=8,
                     step=1,
-                    value=8,
+                    value=4,
                 )
 
         examples = gr.Examples(examples=examples, inputs=[prompt], cache_examples=False)