Update app.py

app.py

@@ -28,7 +28,7 @@ pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
 )
 pipe.to("cuda")
 
-custom_model = "fffiloni/eugene_jour_general"
+custom_model = "fffiloni/eugene_decors_jour"
 
 # This is where you load your trained weights
 pipe.load_lora_weights(custom_model, weight_name="pytorch_lora_weights.safetensors", use_auth_token=True)
@@ -69,8 +69,8 @@ with gr.Blocks() as demo:
     with gr.Column():
         image_in = gr.Image(source="upload", type="filepath")
         prompt = gr.Textbox(label="Prompt")
-        guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=5.0, type="float")
-        controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.0, maximum=1.0, step=0.1, value=0.5, type="float")
+        guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=7.5, type="float")
+        controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=0.9, step=0.01, value=0.5, type="float")
         submit_btn = gr.Button("Submit")
         result = gr.Image(label="Result")