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工程化框架

https://blog.51cto.com/u_15485092/6223566。

exp

import gradio as gr

import os

def process(*x0):
    return x0
block = gr.Blocks()
with block:
    with gr.Row():
        gr.Markdown("## StyleDrop based on Muse (Inference Only) ")
    with gr.Row():
        with gr.Column():
            prompt = gr.Textbox(label="Prompt")
            run_button = gr.Button(label="Run")
            num_samples = gr.Slider(label="Images", minimum=1, maximum=12, value=1, step=1)
            seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, value=1234)
            style = gr.Radio(choices=['1', '2']+["None"], type="value",value="None",label="Style")

            with gr.Accordion("Advanced options",open=True):
                lambdaA = gr.Slider(label="lambdaA", minimum=0.0, maximum=5.0, value=2.0, step=0.01)
                lambdaB = gr.Slider(label="lambdaB", minimum=0.0, maximum=10.0, value=5.0, step=0.01)
                sample_steps = gr.Slider(label="Sample steps", minimum=1, maximum=50, value=36, step=1)
                image=gr.Image(value=None)
        with gr.Column():
            result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(columns=2, height='auto')
    ips = [prompt,num_samples,lambdaA,lambdaB,style,seed,sample_steps,image]
    run_button.click(
        fn=process,
        inputs=ips,
        outputs=[result_gallery]
    )
block.launch(share=False,show_error=True, server_name="0.0.0.0", server_port=8812)

20分钟吃掉accelerate模型加速工具

https://zhuanlan.zhihu.com/p/599274899

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工程化框架

exp

20分钟吃掉accelerate模型加速工具

CATALOG

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