Update app.py

app.py

@@ -31,9 +31,9 @@ async def generate_image(prompt, model, lora_word, width, height, scales, steps,
     image = await client.text_to_image(prompt=text, height=height, width=width, guidance_scale=scales, num_inference_steps=steps, model=model)
     return image, seed
 
-async def gen(prompt, basemodel, lora_add, lora_word, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model, process_lora):
-    model = enable_lora(lora_add, basemodel)
-    image, seed = await generate_image(prompt, model, lora_word, width, height, scales, steps, seed)
+async def gen(prompt, basemodel, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model, process_lora):
+    model = lora_model
+    image, seed = await generate_image(prompt, model, "", width, height, scales, steps, seed)
     image_path = "temp_image.png"
     image.save(image_path)
     
@@ -65,7 +65,7 @@ with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
             with gr.Column(scale=0.8):
                 prompt = gr.Textbox(label="Prompt")
                 basemodel_choice = gr.Dropdown(label="Base Model", choices=["black-forest-labs/FLUX.1-schnell", "black-forest-labs/FLUX.1-DEV"], value="black-forest-labs/FLUX.1-schnell")
-                lora_model_choice = gr.Dropdown(label="LORA Model", choices=["Shakker-Labs/FLUX.1-dev-LoRA-add-details", "Otro modelo LORA"])
+                lora_model_choice = gr.Dropdown(label="LORA Model", choices=["Shakker-Labs/FLUX.1-dev-LoRA-add-details", "XLabs-AI/flux-RealismLora"])
                 process_lora = gr.Checkbox(label="Process LORA", value=True)
                 upscale_factor = gr.Radio(label="UpScale Factor", choices=[2, 4, 8], value=2, scale=2)
                 process_upscale = gr.Checkbox(label="Process Upscale", value=False)
@@ -76,8 +76,6 @@ with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
                     scales = gr.Slider(label="Guidance", minimum=3.5, maximum=7, step=0.1, value=3.5)
                     steps = gr.Slider(label="Steps", minimum=1, maximum=100, step=1, value=24)
                     seed = gr.Slider(label="Seeds", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
-                    lora_add = gr.Textbox(label="Add Flux LoRA", info="Modelo Lora", lines=1, value="XLabs-AI/flux-RealismLora")
-                    lora_word = gr.Textbox(label="Add Flux LoRA Trigger Word", info="Add the Trigger Word", lines=1, value="")
                     
                 submit_btn = gr.Button("Submit", scale=1)
                 submit_btn.click(
@@ -87,7 +85,7 @@ with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
                     queue=False
                 ).then(
                     fn=gen,
-                    inputs=[prompt, basemodel_choice, lora_add, lora_word, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model_choice, process_lora],
+                    inputs=[prompt, basemodel_choice, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model_choice, process_lora],
                     outputs=[output_res]
                 )
 demo.launch()