Update app.py

app.py

@@ -26,8 +26,8 @@ if not torch.cuda.is_available():
 base_model = "black-forest-labs/FLUX.1-dev"
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
 
-lora_repo = "strangerzonehf/Ctoon-Plus-Plus"
-trigger_word = "Ctoon++"  # Leave trigger_word blank if not used.
+lora_repo = "strangerzonehf/Flux-Claude-Art"
+trigger_word = "claude art"  # Leave trigger_word blank if not used.
 
 pipe.load_lora_weights(lora_repo)
 pipe.to("cuda")
@@ -82,7 +82,7 @@ def generate(
         width=width,
         height=height,
         guidance_scale=guidance_scale,
-        num_inference_steps=28,
+        num_inference_steps=30,
         num_images_per_prompt=1,
         output_type="pil",
     ).images
@@ -166,7 +166,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                         minimum=1,
                         maximum=40,
                         step=1,
-                        value=28,
+                        value=30,
                     )
 
                 style_selection = gr.Radio(