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import gradio as gr |
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from gradio_client import Client |
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sdxl_client = Client("https://fffiloni-sdxl-dpo.hf.space/--replicas/8llck/") |
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faceswap_client = Client("https://tonyassi-face-swap.hf.space/") |
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def infer(portrait_in, prompt_in): |
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gr.Info("Generating SDXL image first ...") |
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sdxl_result = sdxl_client.predict( |
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prompt_in, |
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api_name="/infer" |
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) |
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gr.Info("Face swap your face on result ...") |
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faceswap_result = faceswap_client.predict( |
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portrait_in, |
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sdxl_result, |
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api_name="/predict" |
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) |
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return faceswap_result |
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css = """ |
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#col-container{ |
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margin: 0 auto; |
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max-width: 840px; |
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} |
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""" |
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with gr.Blocks(css=css) as demo: |
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with gr.Column(elem_id="col-container"): |
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gr.HTML(""" |
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<h2 style="text-align: center;">Portrait Maker</h2> |
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""") |
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with gr.Row(): |
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with gr.Column(): |
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portrait_in = gr.Image(label="Your face portrait", type="filepath") |
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prompt_in = gr.Textbox(label="Prompt to desired portrait using your own face") |
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submit_btn = gr.Button("Submit") |
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with gr.Column(): |
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result = gr.Image(label="Result") |
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submit_btn.click( |
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fn = infer, |
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inputs = [ |
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portrait_in, |
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prompt_in |
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], |
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outputs = [ |
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result |
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] |
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) |
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demo.queue().launch() |
