Update app.py

app.py

@@ -6,7 +6,7 @@ import numpy as np
 from PIL import Image, ImageFilter, ImageDraw
 
 import torch
-from diffusers import StableDiffusionInpaintPipeline
+from diffusers import StableDiffusionInpaintPipeline, DPMSolverMultistepScheduler
 
 # ------------------------------
 # Config & model
@@ -24,6 +24,8 @@ pipe = StableDiffusionInpaintPipeline.from_pretrained(
     torch_dtype=DTYPE,
     safety_checker=None,                  # для локального теста
 ).to(DEVICE)
+# Более «послушный» шагатель, лучше держит NEG и фон
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe.enable_attention_slicing()
 if DEVICE == "cuda":
     try:
@@ -152,7 +154,12 @@ def outpaint_generate(
 # Gradio UI
 # ------------------------------
 DEFAULT_PROMPT = "extend the image naturally, seamless realistic background, consistent lighting, matching style"
-DEFAULT_NEG = "text, watermark, signature, logo, lowres, blurry, artifacts, deformed, distorted, oversaturated, extra limbs, frame, border"
+DEFAULT_NEG = (
+    "text, letters, words, caption, typography, logo, watermark, "
+    "numbers, digits, signboard, poster text, "
+    "lowres, blurry, artifacts, deformed, distorted, oversaturated, "
+    "frame, border, mosaic, collage, extra limbs"
+)
 
 with gr.Blocks(css="""
 #mini {font-size: 0.9em; opacity: 0.9}
@@ -169,7 +176,7 @@ with gr.Blocks(css="""
             nprmpt = gr.Textbox(value=DEFAULT_NEG, label="Negative prompt")
             with gr.Row():
                 steps = gr.Slider(10, 60, value=30, step=1, label="Steps")
-                cfg = gr.Slider(1.0, 12.0, value=6.5, step=0.5, label="CFG (guidance)")
+                cfg = gr.Slider(1.0, 9.0, value=6.5, step=0.5, label="CFG (guidance)")
                 seed = gr.Number(value=-1, precision=0, label="Seed (-1 = random)")
             go_btn = gr.Button("Generate", variant="primary")