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import gradio as gr | |
title = "Control Net for Media Pipe Hand tracking" | |
description = "This is a demo of a Media pipe hand tracking" | |
def inference_fun(prompt, negative_prompt, image): | |
# your inference code goes here | |
return None | |
with gr.Blocks(theme='gradio/soft') as demo: | |
gr.Markdown("## Control Net for Media Pipe Hand tracking") | |
with gr.Tab("Stable Diffusion"): | |
prompt_input_txt = gr.Textbox(label="Prompt") | |
negative_prompt_txt = gr.Textbox(label="Negative Prompt") | |
input_image = gr.Image(label="Input Image") | |
output_image = gr.Image(label="Output Image") | |
submit_btn = gr.Button(value = "Submit") | |
sd_inputs = [prompt_input_txt, negative_prompt_txt, input_image] | |
submit_btn.click(fn=inference_fun, inputs=sd_inputs, outputs=[output_image]) | |
#examples = [["a woman is making an ok sign in front of a painting", "low quality", "val_1.png", "val_2.png" ]] | |
#gr.Examples(fn = infer_sd, inputs = ["text", "text", "image", "image"], examples=examples, cache_examples=True) | |
demo.launch() |