UdacityNoob commited on
Commit
0d9cf1c
1 Parent(s): 21504bf

Update model url to keras-dreambooth org, update default prompt

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -10,7 +10,7 @@ resolution = 512
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  dreambooth_model = models.StableDiffusion(
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  img_width=resolution, img_height=resolution, jit_compile=True,
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  )
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- loaded_diffusion_model = from_pretrained_keras("tgohblio/dreambooth_hogwarts_legacy")
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  dreambooth_model._diffusion_model = loaded_diffusion_model
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@@ -31,9 +31,9 @@ with gr.Blocks() as demo:
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  gr.HTML("<p style=\"font-size: 14; font-weight: normal\" align=\"left\">This model has been fine-tuned to learn the concept of Hogwarts Legacy student characters.<br>To use this demo, you should have append your prompt with string <q>hogwarts [legacy] student</q></p>")
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  with gr.Row():
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  with gr.Column():
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- prompt = gr.Textbox(label="Positive Prompt", value="a digital art of hogwarts [legacy] student in a forest")
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- negative_prompt = gr.Textbox(label="Negative Prompt", value="bad anatomy, soft blurry")
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- samples = gr.Slider(label="Number of Images", minimum=1, maximum=6, value=1, step=1)
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  inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=100, value=50, step=1)
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  guidance_scale = gr.Slider(label="Guidance Scale", minimum=1, maximum=10, value=7.5, step=0.1)
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  run = gr.Button(value="Run")
@@ -43,7 +43,7 @@ with gr.Blocks() as demo:
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  run.click(fn=generate_images, inputs=[prompt, negative_prompt, samples, inference_steps, guidance_scale], outputs=gallery)
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  gr.Examples([["realistic painting of a hogwarts [legacy] student riding a horse, high quality, 8k", "bad, ugly, deformed, out of frame, blurry, cropped, noisy", 4, 100, 7.5],
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- ["realistic painting of a hogwarts [legacy] student holding a wand, high quality, 8k", "bad, ugly, malformed, deformed, out of frame, blurry, cropped, noisy", 4, 100, 7.5]],
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  [prompt, negative_prompt, samples, inference_steps, guidance_scale], gallery, generate_images, cache_examples=True)
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  gr.Markdown('Demo created by [Terrence Goh](https://huggingface.co/tgohblio/)')
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  dreambooth_model = models.StableDiffusion(
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  img_width=resolution, img_height=resolution, jit_compile=True,
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  )
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+ loaded_diffusion_model = from_pretrained_keras("keras-dreambooth/dreambooth_hogwarts_legacy")
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  dreambooth_model._diffusion_model = loaded_diffusion_model
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  gr.HTML("<p style=\"font-size: 14; font-weight: normal\" align=\"left\">This model has been fine-tuned to learn the concept of Hogwarts Legacy student characters.<br>To use this demo, you should have append your prompt with string <q>hogwarts [legacy] student</q></p>")
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  with gr.Row():
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  with gr.Column():
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+ prompt = gr.Textbox(label="Positive Prompt", value="a digital art of hogwarts [legacy] student jumping up")
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+ negative_prompt = gr.Textbox(label="Negative Prompt", value="out of frame, blurry, cropped, noisy")
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+ samples = gr.Slider(label="Number of Images", minimum=1, maximum=6, value=4, step=1)
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  inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=100, value=50, step=1)
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  guidance_scale = gr.Slider(label="Guidance Scale", minimum=1, maximum=10, value=7.5, step=0.1)
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  run = gr.Button(value="Run")
 
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  run.click(fn=generate_images, inputs=[prompt, negative_prompt, samples, inference_steps, guidance_scale], outputs=gallery)
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  gr.Examples([["realistic painting of a hogwarts [legacy] student riding a horse, high quality, 8k", "bad, ugly, deformed, out of frame, blurry, cropped, noisy", 4, 100, 7.5],
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+ ["realistic painting of a hogwarts [legacy] student holding a wand, high quality, 8k", "bad, ugly, deformed, out of frame, blurry, cropped, noisy", 4, 100, 7.5]],
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  [prompt, negative_prompt, samples, inference_steps, guidance_scale], gallery, generate_images, cache_examples=True)
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  gr.Markdown('Demo created by [Terrence Goh](https://huggingface.co/tgohblio/)')
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