clone3 commited on
Commit
c0fdc46
1 Parent(s): 65040ef

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -101,7 +101,7 @@ def generate(
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  ).images
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  paths = save_images(result, profile, metadata={"prompt": prompt, "seed": seed, "width": width, "height": height, "guidance_scale": guidance_scale, "num_inference_steps": num_inference_steps})
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  print(time.time() - start_time)
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- return paths, seed
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  examples = [
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  "portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour, style by Dan Winters, Russell James, Steve McCurry, centered, extremely detailed, Nikon D850, award winning photography",
@@ -125,7 +125,7 @@ with gr.Blocks(css="style.css") as demo:
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  placeholder="Enter your prompt",
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  max_lines=1,
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  container=False,
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- #interactive=False,
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  )
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  with gr.Group():
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  with gr.Row():
@@ -183,7 +183,7 @@ with gr.Blocks(css="style.css") as demo:
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  inputs=[
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  prompt,
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  seed,
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- #url,
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  guidance_scale,
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  num_inference_steps,
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  randomize_seed
 
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  ).images
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  paths = save_images(result, profile, metadata={"prompt": prompt, "seed": seed, "width": width, "height": height, "guidance_scale": guidance_scale, "num_inference_steps": num_inference_steps})
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  print(time.time() - start_time)
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+ return paths, seed, url
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  examples = [
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  "portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour, style by Dan Winters, Russell James, Steve McCurry, centered, extremely detailed, Nikon D850, award winning photography",
 
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  placeholder="Enter your prompt",
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  max_lines=1,
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  container=False,
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+ interactive=False,
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  )
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  with gr.Group():
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  with gr.Row():
 
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  inputs=[
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  prompt,
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  seed,
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+ url,
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  guidance_scale,
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  num_inference_steps,
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  randomize_seed