rollback : app.py

app.py

@@ -42,14 +42,11 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
 
-    if refine_prompt:
-        refined_prompt = run_gemini(
-            target_prompt=prompt,
-            prompt_in_path="prompt.json",
-        )
-        print(f"Refined prompt: {refined_prompt}")
-    else:
-        refined_prompt = prompt
+    refined_prompt = run_gemini(
+        target_prompt=prompt,
+        prompt_in_path="prompt.json",
+    )
+    print(f"Refined prompt: {refined_prompt}")
     
     for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
             prompt=refined_prompt,
@@ -80,7 +77,7 @@ with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# [POSTECH] PONIX Generator 🌊
-([based on FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md))
+[[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():
@@ -91,27 +88,23 @@ with gr.Blocks(css=css) as demo:
                 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):
-
-            with gr.Row():
-
-                refine_prompt = gr.Checkbox(label="Refine prompt", value=True)
-                
-                seed = gr.Slider(
-                    label="Seed",
-                    minimum=0,
-                    maximum=MAX_SEED,
-                    step=1,
-                    value=0,
-                )
-                
-                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            
+            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():