multimodalart HF staff commited on
Commit
b6d3179
1 Parent(s): c8cac13

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +9 -6
app.py CHANGED
@@ -44,19 +44,22 @@ def run_parallel_models(prompt):
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  yield gr.update(), gr.update(), image
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  #run_parallel_models.zerogpu = True
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-
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- with gr.Blocks() as demo:
 
 
 
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  gr.Markdown("# Low Step Flux Comparison")
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  gr.Markdown("Compare the quality (not the speed) of FLUX Schnell (4 steps), FLUX.1[dev] HyperFLUX (8 steps), FLUX.1[dev]-Turbo-Alpha (8 steps). It runs a bit slow as it's inferencing the three models.")
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  with gr.Row():
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  with gr.Column(scale=2):
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  prompt = gr.Textbox(label="Prompt")
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- with gr.Column(scale=1, min_width=120):
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- submit = gr.Button("Run")
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  with gr.Row():
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- schnell = gr.Image(label="FLUX Schnell (4 steps)")
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  hyper = gr.Image(label="FLUX.1[dev] HyperFLUX (8 steps)")
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  turbo = gr.Image(label="FLUX.1[dev]-Turbo-Alpha (8 steps)")
 
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  gr.Examples(
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  examples=[
@@ -76,6 +79,6 @@ with gr.Blocks() as demo:
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  triggers=[submit.click, prompt.submit],
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  fn=run_parallel_models,
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  inputs=[prompt],
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- outputs=[schnell, hyper, turbo]
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  )
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  demo.launch()
 
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  yield gr.update(), gr.update(), image
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  #run_parallel_models.zerogpu = True
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+ css = '''
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+ #gen_btn{height: 100%}
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+ #gen_column{align-self: stretch}
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+ '''
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+ with gr.Blocks(css=css) as demo:
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  gr.Markdown("# Low Step Flux Comparison")
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  gr.Markdown("Compare the quality (not the speed) of FLUX Schnell (4 steps), FLUX.1[dev] HyperFLUX (8 steps), FLUX.1[dev]-Turbo-Alpha (8 steps). It runs a bit slow as it's inferencing the three models.")
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  with gr.Row():
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  with gr.Column(scale=2):
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  prompt = gr.Textbox(label="Prompt")
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+ with gr.Column(scale=1, min_width=120, elem_id="gen_column"):
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+ submit = gr.Button("Run", elem_id="gen_btn")
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  with gr.Row():
 
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  hyper = gr.Image(label="FLUX.1[dev] HyperFLUX (8 steps)")
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  turbo = gr.Image(label="FLUX.1[dev]-Turbo-Alpha (8 steps)")
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+ schnell = gr.Image(label="FLUX Schnell (4 steps)")
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  gr.Examples(
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  examples=[
 
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  triggers=[submit.click, prompt.submit],
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  fn=run_parallel_models,
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  inputs=[prompt],
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+ outputs=[hyper, turbo, schnell]
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  )
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  demo.launch()