Update app.py

app.py

@@ -15,7 +15,7 @@ MAX_SEED = np.iinfo(np.int32).max
 pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
 
 @spaces.GPU
-def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=22, progress=gr.Progress(track_tqdm=True)):
+def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=20, progress=gr.Progress(track_tqdm=True)):
     """
     Perform image editing using the FLUX.1 Kontext pipeline.
     
@@ -32,7 +32,7 @@ def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5
             Defaults to False.
         guidance_scale (float, optional): Controls how closely the model follows the prompt. Higher values mean stronger adherence to the prompt but may reduce image quality. Range: 1.0-10.0. Defaults to 2.5.
         steps (int, optional): Controls how many steps to run the diffusion model for.
-            Range: 1-30. Defaults to 28.
+            Range: 1-30. Defaults to 20.
         progress (gr.Progress, optional): Gradio progress tracker for monitoring
             generation progress. Defaults to gr.Progress(track_tqdm=True).
     
@@ -116,7 +116,7 @@ Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro
                         label="Steps",
                         minimum=1,
                         maximum=30,
-                        value=28,
+                        value=20,
                         step=1
                     )