multimodalart HF staff pcuenq HF staff commited on
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adcfd5e
1 Parent(s): 6d9b152

Minor text change (#6)

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- Minor text change (e91b4ff0e92043831fb2a9139f5f60ba23db6206)


Co-authored-by: Pedro Cuenca <[email protected]>

Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -251,13 +251,13 @@ with gr.Blocks(css=css) as demo:
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  </div>
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  ''')
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  gr.Markdown("# Dreambooth training")
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- gr.Markdown("Customize Stable Diffusion by giving it with few-shot examples. Based on TheLastBen's [fast-DreamBooth Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) with 🧨 diffusers")
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  with gr.Row():
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  type_of_thing = gr.Dropdown(label="What would you like to train?", choices=["object", "person", "style"], value="object", interactive=True)
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  with gr.Row():
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  with gr.Column():
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- thing_description = gr.Markdown("You are going to train an `object`, upload 5-10 images of the object you are planning on training on from different angles/perspectives. You must have the right to do so and you are liable for the images you use, example:")
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  thing_image_example = gr.HTML('''<img src="file/cat-toy.png" />''')
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  things_naming = gr.Markdown("You should name your concept with a unique made up word that has low chance of the model already knowing it (e.g.: `cttoy` here). Images will be automatically cropped to 512x512.")
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  with gr.Column():
 
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  </div>
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  ''')
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  gr.Markdown("# Dreambooth training")
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+ gr.Markdown("Customize Stable Diffusion by giving it a few examples. You can train up to three concepts by providing examples for each. This Space is based on TheLastBen's [fast-DreamBooth Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) with 🧨 diffusers")
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  with gr.Row():
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  type_of_thing = gr.Dropdown(label="What would you like to train?", choices=["object", "person", "style"], value="object", interactive=True)
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  with gr.Row():
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  with gr.Column():
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+ thing_description = gr.Markdown("You are going to train an `object`, please upload 5-10 images of the object you are planning on training on from different angles/perspectives. You must have the right to do so and you are liable for the images you use, example:")
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  thing_image_example = gr.HTML('''<img src="file/cat-toy.png" />''')
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  things_naming = gr.Markdown("You should name your concept with a unique made up word that has low chance of the model already knowing it (e.g.: `cttoy` here). Images will be automatically cropped to 512x512.")
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  with gr.Column():