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Add demo app
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app.py
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import gradio as gr
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import gradio as gr
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title = "Character aware stable difusion"
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description = "This is a demo o a character aware diffusion model"
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def infer_sd(prompt, negative_prompt, image):
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# your inference function for stable diffusion control
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return im
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def infer_charr_sd(prompt, negative_prompt, image):
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# your inference function for charr stable difusion control
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return im
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with gr.Blocks(theme='gradio/soft') as demo:
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gr.Markdown("## Character aware stable difusion")
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with gr.Tab("Character Aware Stable Difusion "):
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prompt_input_charr = gr.Textbox(label="Prompt")
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negative_prompt_charr = gr.Textbox(label="Negative Prompt")
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charr_input = gr.Image(label="Input Image")
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charr_output = gr.Image(label="Output Image")
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submit_btn = gr.Button(value = "Submit")
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charr_inputs = [prompt_input_charr, negative_prompt_charr, charr_input]
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submit_btn.click(fn=infer_charr_sd, inputs=charr_inputs, outputs=[charr_output])
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with gr.Tab("Stable Diffusion"):
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prompt_input_seg = gr.Textbox(label="Prompt")
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negative_prompt_seg = gr.Textbox(label="Negative Prompt")
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sd_input = gr.Image(label="Input Image")
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sd_output = gr.Image(label="Output Image")
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submit_btn = gr.Button(value = "Submit")
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sd_inputs = [prompt_input_seg, negative_prompt_seg, sd_input]
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submit_btn.click(fn=infer_sd, inputs=sd_inputs, outputs=[sd_output])
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#examples = [["postage stamp from california", "low quality", "charr_output.png", "charr_output.png" ]]
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#gr.Examples(fn = infer_sd, inputs = ["text", "text", "image", "image"], examples=examples, cache_examples=True)
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demo.launch()
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