ehristoforu commited on
Commit
ffb6a5b
·
1 Parent(s): 9a137bc

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -3
app.py CHANGED
@@ -185,10 +185,10 @@ def txt2img(prompt, negative_prompt, model, width, height):
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  return job["imageUrl"]
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- def img2img(input_image, prompt, negative_prompt, model, width, height):
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  result = prodia_client.transform({
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  "imageData": image_to_base64(input_image),
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- "denoising_strength": 0.7,
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  "prompt": prompt,
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  "negative_prompt": negative_prompt,
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  "model": i2i_model.value,
@@ -256,11 +256,14 @@ with gr.Blocks(css=css, theme="Base") as demo:
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  value="absolutereality_v181.safetensors [3d9d4d2b]",
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  show_label=True, label="Model",
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  choices=prodia_client.list_models())
 
 
 
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  with gr.Column(scale=1):
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  i2i_width = gr.Slider(label="↔️ Width", maximum=1024, value=768, step=8)
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  i2i_height = gr.Slider(label="↕️ Height", maximum=1024, value=768, step=8)
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- i2i_text_button.click(img2img, inputs=[i2i_image_input, i2i_prompt, i2i_negative_prompt, model, i2i_width, i2i_height], outputs=i2i_image_output)
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  demo.queue(concurrency_count=64, max_size=30, api_open=False).launch(max_threads=256, show_api=False)
 
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  return job["imageUrl"]
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+ def img2img(input_image, denoising, prompt, negative_prompt, model, width, height):
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  result = prodia_client.transform({
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  "imageData": image_to_base64(input_image),
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+ "denoising_strength": denoising,
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  "prompt": prompt,
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  "negative_prompt": negative_prompt,
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  "model": i2i_model.value,
 
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  value="absolutereality_v181.safetensors [3d9d4d2b]",
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  show_label=True, label="Model",
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  choices=prodia_client.list_models())
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+
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+ with gr.Column(scale=1):
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+ i2i_denoising = gr.Slider(label="Denoising Strength", minimum=0, maximum=1, value=0.7, step=0.1)
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  with gr.Column(scale=1):
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  i2i_width = gr.Slider(label="↔️ Width", maximum=1024, value=768, step=8)
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  i2i_height = gr.Slider(label="↕️ Height", maximum=1024, value=768, step=8)
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+ i2i_text_button.click(img2img, inputs=[i2i_image_input, i2i_denoising, i2i_prompt, i2i_negative_prompt, model, i2i_width, i2i_height], outputs=i2i_image_output)
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  demo.queue(concurrency_count=64, max_size=30, api_open=False).launch(max_threads=256, show_api=False)