Update app.py

app.py

@@ -61,7 +61,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
             good_vae=good_vae,  # Assuming good_vae is defined elsewhere
             joint_attention_kwargs=joint_attention_kwargs,  # Fixed parameter name
         ):
-            yield img, seed, seed
+            yield img, seed
     finally:
         # Unload LoRA weights if they were loaded
         if lora_id:
@@ -72,114 +72,6 @@ examples = [
     "a cat holding a sign that says hello world",
     "an anime illustration of a wiener schnitzel",
 ]
-
-# css="""
-# #col-container {
-#     margin: 0 auto;
-#     max-width: 520px;
-# }
-# """
-
-# with gr.Blocks(css=css) as demo:
-    
-#     with gr.Column(elem_id="col-container"):
-#         gr.Markdown(f"""# FLUX.1 [dev] LoRA
-# 12B param rectified flow transformer guidance-distilled from [FLUX.1 [pro]](https://blackforestlabs.ai/)  
-# [[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
-#         """)
-        
-#         with gr.Row():
-            
-#             prompt = gr.Text(
-#                 label="Prompt",
-#                 show_label=False,
-#                 max_lines=1,
-#                 placeholder="Enter your prompt",
-#                 container=False,
-#             )
-            
-#             run_button = gr.Button("Run", scale=0)
-        
-#         result = gr.Image(label="Result", show_label=False)
-        
-#         with gr.Accordion("Advanced Settings", open=False):
-            
-#             seed = gr.Slider(
-#                 label="Seed",
-#                 minimum=0,
-#                 maximum=MAX_SEED,
-#                 step=1,
-#                 value=0,
-#             )
-            
-#             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-#             with gr.Row():
-                
-#                 width = gr.Slider(
-#                     label="Width",
-#                     minimum=256,
-#                     maximum=MAX_IMAGE_SIZE,
-#                     step=8,
-#                     value=1024,
-#                 )
-                
-#                 height = gr.Slider(
-#                     label="Height",
-#                     minimum=256,
-#                     maximum=MAX_IMAGE_SIZE,
-#                     step=8,
-#                     value=1024,
-#                 )
-            
-#             with gr.Row():
-
-#                 guidance_scale = gr.Slider(
-#                     label="Guidance Scale",
-#                     minimum=1,
-#                     maximum=15,
-#                     step=0.1,
-#                     value=3.5,
-#                 )
-  
-#                 num_inference_steps = gr.Slider(
-#                     label="Number of inference steps",
-#                     minimum=1,
-#                     maximum=50,
-#                     step=1,
-#                     value=28,
-#                 )
-
-#             with gr.Row():
-#                 lora_id = gr.Textbox(
-#                     label="LoRA Model ID (HuggingFace path)",
-#                     placeholder="username/lora-model",
-#                     max_lines=1
-#                 )
-#                 lora_scale = gr.Slider(
-#                     label="LoRA Scale",
-#                     minimum=0,
-#                     maximum=2,
-#                     step=0.01,
-#                     value=0.95,
-#                 )
-        
-#         gr.Examples(
-#             examples = examples,
-#             fn = infer,
-#             inputs = [prompt],
-#             outputs = [result, seed],
-#             cache_examples="lazy"
-#         )
-
-#     gr.on(
-#         triggers=[run_button.click, prompt.submit],
-#         fn = infer,
-#         inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,lora_id,lora_scale],
-#         outputs = [result, seed]
-#     )
-
-# demo.launch()
     
 css = """
 #col-container {
@@ -231,8 +123,6 @@ with gr.Blocks(css=css) as app:
             with gr.Column():
                 with gr.Row():
                     image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
-                with gr.Row():
-                    seed_output = gr.Textbox(label="Seed Used", show_copy_button = True)
         
         # gr.Markdown(article_text)
         with gr.Column():
@@ -244,7 +134,7 @@ with gr.Blocks(css=css) as app:
         triggers=[text_button.click, text_prompt.submit],
         fn = infer,
         inputs=[text_prompt, seed, randomize_seed, width, height, cfg, steps, custom_lora, lora_scale], 
-        outputs=[image_output,seed_output, seed]
+        outputs=[image_output, seed]
     )
         
         # text_button.click(query, inputs=[custom_lora, text_prompt, steps, cfg, randomize_seed, seed, width, height], outputs=[image_output,seed_output, seed])