Lisandro commited on
Commit
2ea9be2
1 Parent(s): 4f61531

feat: Add style prompt input to infer function in app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -3
app.py CHANGED
@@ -4,7 +4,7 @@ from gradio_client import Client
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- def infer (prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):
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  custom_model="lichorosario/dott_remastered_style_lora_sdxl"
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  weight_name="dott_style.safetensors"
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@@ -18,7 +18,7 @@ def infer (prompt, inf_steps, guidance_scale, width, height, seed, lora_weight,
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  result = client.predict(
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  custom_model=custom_model,
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  weight_name=weight_name,
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- prompt="dott style. "+prompt,
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  inf_steps=inf_steps,
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  guidance_scale=guidance_scale,
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  width=width,
@@ -76,6 +76,9 @@ with gr.Blocks(css=css) as demo:
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  label="Your Prompt",
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  info = "Dont' forget to include your trigger word if necessary"
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  )
 
 
 
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  with gr.Accordion("Advanced Settings", open=False):
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  with gr.Row():
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  inf_steps = gr.Slider(
@@ -133,7 +136,7 @@ with gr.Blocks(css=css) as demo:
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  submit_btn.click(
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  fn = infer,
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- inputs = [prompt_in, inf_steps, guidance_scale, width, height, seed, lora_weight],
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  outputs = [image_out, last_used_seed]
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  )
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+ def infer (prompt, style_prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):
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  custom_model="lichorosario/dott_remastered_style_lora_sdxl"
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  weight_name="dott_style.safetensors"
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  result = client.predict(
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  custom_model=custom_model,
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  weight_name=weight_name,
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+ prompt="dott style. "+prompt+". "+style_prompt,
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  inf_steps=inf_steps,
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  guidance_scale=guidance_scale,
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  width=width,
 
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  label="Your Prompt",
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  info = "Dont' forget to include your trigger word if necessary"
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  )
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+ style_prompt_in = gr.Textbox(
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+ label="Your Style Prompt"
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+ )
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  with gr.Accordion("Advanced Settings", open=False):
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  with gr.Row():
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  inf_steps = gr.Slider(
 
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  submit_btn.click(
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  fn = infer,
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+ inputs = [prompt_in, style_prompt_in, inf_steps, guidance_scale, width, height, seed, lora_weight],
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  outputs = [image_out, last_used_seed]
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  )
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