import gradio as gr
def greet(name):
return "Hello " + name + "!"
css = '''
.instruction{position: absolute; top: 0;right: 0;margin-top: 0px !important}
.arrow{position: absolute;top: 0;right: -8px;margin-top: -8px !important}
#component-4, #component-3, #component-10{min-height: 0}
'''
with gr.Blocks(css=css) as demo:
with gr.Box():
# You can remove this part here for your local clone
gr.HTML('''
Attention - This Space doesn't work in this shared UI
For it to work, you have to duplicate the Space and run it on your own profile where a (paid) private GPU will be attributed to it during runtime. It will cost you < US$1 to train a model on default settings! 🤑
''')
gr.Markdown("# Dreambooth training")
gr.Markdown("Customize Stable Diffusion by training it with few-shot examples")
with gr.Row():
gr.Dropdown(label="What would you like to train?", choices=["object", "person", "style"], value="object", interactive=True)
with gr.Column():
with gr.Box():
gr.Textbox(label="What prompt you would like to train it on", value="The photo of a cttoy", interactive=True).style(container=False, item_container=False)
gr.Markdown("You should try using words the model doesn't know. Don't use names or well known concepts.")
with gr.Row():
gr.File(label="Upload your images", file_count="multiple")
with gr.Column():
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 fully liable for image you use")
gr.HTML('''''')
with gr.Accordion("Advanced Settings", open=False):
pass
greet_btn = gr.Button("Start Training")
greet_btn.click(fn=greet, inputs=[], outputs=[])
demo.launch()