Jordan Legg commited on
Commit
8c3684f
β€’
1 Parent(s): c457147

make button more obvious

Browse files
Files changed (1) hide show
  1. app.py +8 -6
app.py CHANGED
@@ -61,6 +61,11 @@ with gr.Blocks() as demo:
61
  prompt = gr.Textbox(label="Prompt", placeholder="Enter your image description here...", value=example_prompt)
62
  run_button = gr.Button("Generate")
63
  result = gr.Image(label="Generated Image")
 
 
 
 
 
64
  gr.Markdown("""
65
  ## Example Prompt
66
  Try this example prompt or modify it to see how FLUX.1 [schnell] performs:
@@ -68,18 +73,15 @@ with gr.Blocks() as demo:
68
  A vibrant red origami crane on a white background, intricate paper folds, studio lighting
69
  ```
70
  """)
71
- with gr.Accordion("Advanced Settings", open=False):
72
- seed = gr.Slider(minimum=0, maximum=MAX_SEED, step=1, label="Seed", randomize=True)
73
  randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
74
  width = gr.Slider(minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, label="Width")
75
  height = gr.Slider(minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, label="Height")
76
  num_inference_steps = gr.Slider(minimum=1, maximum=50, step=1, value=4, label="Number of inference steps")
77
- upscale = gr.Checkbox(label="Upscale with AuraSR V2", value=False)
78
  gr.Markdown("""
79
  **Note:** FLUX.1 [schnell] is optimized for speed and can produce high-quality results with just a few inference steps.
80
  Adjust the number of steps based on your speed/quality preference. More steps may improve quality but will increase generation time.
81
-
82
- The upscaling option uses AuraSR V2 to increase the resolution of the generated image by 4x. This may significantly increase processing time.
83
  """)
84
  gr.Markdown("""
85
  ## Additional Information
@@ -90,7 +92,7 @@ with gr.Blocks() as demo:
90
  - For more details and other FLUX.1 variants, visit [Black Forest Labs](https://blackforestlabs.ai)
91
  - The upscaling feature uses AuraSR V2, an open reproduction of the GigaGAN Upscaler from fal.ai
92
  """)
93
-
94
  run_button.click(
95
  infer,
96
  inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps, upscale],
 
61
  prompt = gr.Textbox(label="Prompt", placeholder="Enter your image description here...", value=example_prompt)
62
  run_button = gr.Button("Generate")
63
  result = gr.Image(label="Generated Image")
64
+ upscale = gr.Checkbox(label="Upscale with AuraSR V2 (4x resolution increase)", value=True)
65
+ gr.Markdown("""
66
+ **Note:** Upscaling with AuraSR V2 will significantly increase the resolution and may improve image quality,
67
+ but it will also increase processing time. Use this option for the best possible output quality.
68
+ """)
69
  gr.Markdown("""
70
  ## Example Prompt
71
  Try this example prompt or modify it to see how FLUX.1 [schnell] performs:
 
73
  A vibrant red origami crane on a white background, intricate paper folds, studio lighting
74
  ```
75
  """)
76
+ with gr.Accordion("Advanced Settings", open=True):
77
+ seed = gr.Slider(minimum=0, maximum=MAX_SEED, step=1, label="Seed", randomize=False)
78
  randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
79
  width = gr.Slider(minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, label="Width")
80
  height = gr.Slider(minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, label="Height")
81
  num_inference_steps = gr.Slider(minimum=1, maximum=50, step=1, value=4, label="Number of inference steps")
 
82
  gr.Markdown("""
83
  **Note:** FLUX.1 [schnell] is optimized for speed and can produce high-quality results with just a few inference steps.
84
  Adjust the number of steps based on your speed/quality preference. More steps may improve quality but will increase generation time.
 
 
85
  """)
86
  gr.Markdown("""
87
  ## Additional Information
 
92
  - For more details and other FLUX.1 variants, visit [Black Forest Labs](https://blackforestlabs.ai)
93
  - The upscaling feature uses AuraSR V2, an open reproduction of the GigaGAN Upscaler from fal.ai
94
  """)
95
+
96
  run_button.click(
97
  infer,
98
  inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps, upscale],