Update

app.py

@@ -58,7 +58,7 @@ with gr.Blocks(css="style.css") as demo:
                     minimum=0.1,
                     maximum=30.0,
                     step=0.1,
-                    value=5,
+                    value=5.0,
                 )
                 adapter_conditioning_scale = gr.Slider(
                     label="Adapter Conditioning Scale",

model.py

@@ -162,9 +162,9 @@ class Model:
         prompt: str,
         negative_prompt: str,
         num_inference_steps: int = 30,
-        guidance_scale: float = 7.5,
-        adapter_conditioning_scale: float = 0.8,
-        cond_tau: float = 0.8,
+        guidance_scale: float = 5.0,
+        adapter_conditioning_scale: float = 1.0,
+        cond_tau: float = 1.0,
         seed: int = 0,
         apply_preprocess: bool = True,
     ) -> list[PIL.Image.Image]: