Update app.py

app.py

@@ -13,7 +13,7 @@ import torch
 from diffusers import AutoencoderKL, DiffusionPipeline
 from diffusers import DPMSolverMultistepScheduler
 
-DESCRIPTION = "# 🪆 RussianVibe XL 1.0"
+DESCRIPTION = "# 🪆 RussianVibe XL 2.0"
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
 
@@ -34,7 +34,7 @@ if torch.cuda.is_available():
         use_safetensors=True,
         variant="fp16",
     )
-    pipe.load_lora_weights("0x7o/RussianVibe-XL-v1.0")
+    pipe.load_lora_weights("0x7o/RussianVibe-XL-v2.0")
     pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
     if ENABLE_REFINER:
         refiner = DiffusionPipeline.from_pretrained(
@@ -163,6 +163,7 @@ with gr.Blocks(css="style.css") as demo:
             label="Negative prompt",
             max_lines=1,
             placeholder="Enter a negative prompt",
+            value="low quality",
             visible=False,
         )
         prompt_2 = gr.Text(