multimodalart HF Staff commited on
Commit
e159a3e
·
verified ·
1 Parent(s): e9b339f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -3
app.py CHANGED
@@ -81,6 +81,10 @@ DEFAULT_STEPS = {
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  "Regular (30 steps)": 30,
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  }
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  def image_to_data_uri(img):
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  buffered = io.BytesIO()
@@ -161,7 +165,7 @@ def update_dimensions_from_image(image_list):
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  def update_steps_from_mode(mode_choice):
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  """Update the number of inference steps based on the selected mode."""
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- return DEFAULT_STEPS[mode_choice]
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  @spaces.GPU(duration=85)
@@ -317,7 +321,7 @@ FLUX.2 [Klein] is a distilled model capable of generating, editing and combining
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  minimum=0.0,
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  maximum=10.0,
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  step=0.1,
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- value=4.0,
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  )
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@@ -354,7 +358,7 @@ FLUX.2 [Klein] is a distilled model capable of generating, editing and combining
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  mode_choice.change(
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  fn=update_steps_from_mode,
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  inputs=[mode_choice],
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- outputs=[num_inference_steps]
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  )
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  gr.on(
 
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  "Regular (30 steps)": 30,
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  }
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+ DEFAULT_CFG = {
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+ "Distilled (4 steps)": 1.0,
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+ "Regular (30 steps)": 4.0,
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+ }
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  def image_to_data_uri(img):
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  buffered = io.BytesIO()
 
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  def update_steps_from_mode(mode_choice):
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  """Update the number of inference steps based on the selected mode."""
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+ return DEFAULT_STEPS[mode_choice], DEFAULT_CFG[mode_choice]
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  @spaces.GPU(duration=85)
 
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  minimum=0.0,
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  maximum=10.0,
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  step=0.1,
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+ value=1.0,
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  )
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  mode_choice.change(
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  fn=update_steps_from_mode,
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  inputs=[mode_choice],
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+ outputs=[num_inference_steps, guidance_scale]
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  )
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  gr.on(