Update app.py

app.py

@@ -14,7 +14,7 @@ from typing import Optional
 # кэш для пайплайнов (чтобы не перезагружать модель при каждом запросе)
 PIPE_CACHE: dict[str, DiffusionPipeline] = {}
 DEFAULT_MODEL = "CompVis/stable-diffusion-v1-4"
-BASE_MODEL_FOR_LORA = "CompVis/stable-diffusion-v1-4"  # Base model used for LoRA training
+BASE_MODEL_FOR_LORA = "CompVis/stable-diffusion-v1-5"  # Base model used for LoRA training
 LORA_MODEL_ID = "DiZH797/my-tuned-lora"  # Your uploaded LoRA model ID
 MODEL_OPTIONS = [
     "CompVis/stable-diffusion-v1-4",
@@ -190,7 +190,7 @@ with gr.Blocks(css=css) as demo:
             minimum=0.0,
             maximum=3.0,
             step=0.1,
-            value=1.8,
+            value=1.0,
             visible=False,  # Initially hidden
         )