Update app.py

app.py

@@ -12,8 +12,6 @@ from gradio_client import Client, handle_file
 from huggingface_hub import login
 from gradio_imageslider import ImageSlider
 
-
-# Configuración inicial
 translator = Translator()
 HF_TOKEN = os.environ.get("HF_TOKEN")
 basemodel = "black-forest-labs/FLUX.1-schnell"
@@ -21,12 +19,9 @@ MAX_SEED = np.iinfo(np.int32).max
 CSS = "footer { visibility: hidden; }"
 JS = "function () { gradioURL = window.location.href; if (!gradioURL.endsWith('?__theme=dark')) { window.location.replace(gradioURL + '?__theme=dark'); } }"
 
-# Función para habilitar LoRA
 def enable_lora(lora_add): 
     return basemodel if not lora_add else lora_add
 
-
-# Función asíncrona para generar imágenes
 async def generate_image(prompt, model, lora_word, width, height, scales, steps, seed):
     try:
         if seed == -1: 
@@ -39,8 +34,6 @@ async def generate_image(prompt, model, lora_word, width, height, scales, steps,
     except Exception as e: 
         raise gr.Error(f"Error en {e}")
 
-
-# Función asíncrona para generar imágenes y aplicar upscale
 async def gen(prompt, lora_add, lora_word, width, height, scales, steps, seed, upscale_factor, process_upscale):
     model = enable_lora(lora_add)
     image, seed = await generate_image(prompt, model, lora_word, width, height, scales, steps, seed)
@@ -54,15 +47,11 @@ async def gen(prompt, lora_add, lora_word, width, height, scales, steps, seed, u
     
     return [image_path, upscale_image]
 
-
-# Función para aplicar upscale con Finegrain
 def get_upscale_finegrain(prompt, img_path, upscale_factor):
     client = Client("finegrain/finegrain-image-enhancer")
     result = client.predict(input_image=handle_file(img_path), prompt=prompt, negative_prompt="", seed=42, upscale_factor=upscale_factor, controlnet_scale=0.6, controlnet_decay=1, condition_scale=6, tile_width=112, tile_height=144, denoise_strength=0.35, num_inference_steps=18, solver="DDIM", api_name="/process")
     return result[1]
 
-
-# Configuración de CSS
 css = """
 #col-container{
     margin: 0 auto;
@@ -72,8 +61,7 @@ css = """
 
 with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# Flux Upscaled")
-        gr.Markdown("Step 1: Generate image with FLUX schnell; Step 2: UpScale with Finegrain Image-Enhancer")
+        gr.Markdown("Flux Upscaled +LORA")
         with gr.Group():
             prompt = gr.Textbox(label="Prompt")
             with gr.Row():
@@ -100,6 +88,4 @@ with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
             outputs=[output_res]
         )
 
-
-# Iniciar la aplicación
 demo.launch()