Update app.py

app.py

@@ -35,27 +35,11 @@ def infer(
     num_inference_steps,
     progress=gr.Progress(track_tqdm=True),
 ):
-    # --- Anti-NSFW patching ---
-    prompt = prompt + " (avoid nsfw)"
-
-    negative_prompt = (
-        negative_prompt
-        + " (breasts:3), (nipple:3), (nipples:3), (boobs:3), (butt:3), (ass:3),"
-          " (butthole:3), (sex:3), (fetish:3), (pussy:3), (vagina:3), (porn:3),"
-          " (hentai:3), (explicit:3), (areola:3), (genitals:3), (penis:3),"
-          " (nsfw:3), (nude:3), (uncensored:3), (nsfl:3), (gore:3),"
-          " (erotic:3), (provocative:3), (suggestive:3), (seductive:3),"
-          " (cleavage:3), (thighs:2), (underboob:3),"
-          " (nsfw:3, nude:3, erotic:3, sexual:3, explicit:3, uncensored:3)"
-    )
-
-    # --- Seeds ---
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
     generator = torch.Generator().manual_seed(seed)
 
-    # --- Generate image ---
     image = pipe(
         prompt=prompt,
         negative_prompt=negative_prompt,
@@ -104,8 +88,8 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                value = "(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn",
-                visible=True,
+                value = "(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn,  (breasts:3), (nipple:3), (nipples:3), (boobs:3), (butt:3), (ass:3), (butthole:3), (sex:3), (fetish:3), (pussy:3), (vagina:3), (porn:3), (hentai:3), (explicit:3)",
+                visible=False,
             )
 
             seed = gr.Slider(
@@ -141,7 +125,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.7,  # Replace with defaults that work for your model
+                    value=3.6,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -149,7 +133,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=9,  # Replace with defaults that work for your model
+                    value=15,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])