Update app.py

app.py

@@ -29,7 +29,7 @@ PREVIEW_IMAGES = True
 dtype = torch.float16
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 if torch.cuda.is_available():
-    prior_pipeline = WuerstchenPriorPipeline.from_pretrained("warp-ai/wuerstchen-prior", torch_dtype=dtype)
+    prior_pipeline = WuerstchenPriorPipeline.from_pretrained("warp-ai/wuerstchen-prior-model-interpolated", torch_dtype=dtype)
     decoder_pipeline = WuerstchenDecoderPipeline.from_pretrained("warp-ai/wuerstchen", torch_dtype=dtype)
     if ENABLE_CPU_OFFLOAD:
         prior_pipeline.enable_model_cpu_offload()
@@ -140,7 +140,8 @@ with gr.Blocks(css="style.css") as demo:
         negative_prompt = gr.Text(
             label="What I do NOT want",
             max_lines=1,
-            placeholder="Uncheck seed to finetune.",
+            placeholder="Uncheck seed to iterate and finetune.",
+            value="lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature"
         )
 
         seed = gr.Slider(
@@ -179,12 +180,12 @@ with gr.Blocks(css="style.css") as demo:
                 minimum=0,
                 maximum=20,
                 step=0.1,
-                value=4.0,
+                value=17.0,
             )
             prior_num_inference_steps = gr.Slider(
                 label="Prior Inference Steps",
                 minimum=30,
-                maximum=30,
+                maximum=60,
                 step=1,
                 value=30,
             )