from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
import torch
from controlnet_aux import OpenposeDetector
from diffusers.utils import load_image
from gradio.themes.utils import sizes
import gradio as gr


theme = gr.themes.Default(radius_size=sizes.radius_none).set(
    block_label_text_color = '#4D63FF',
    block_title_text_color = '#4D63FF',
    button_primary_text_color = '#4D63FF',
    button_primary_background_fill='#FFFFFF',
    button_primary_border_color='#4D63FF',
    button_primary_background_fill_hover='#EDEFFF',
)

openpose = OpenposeDetector.from_pretrained('lllyasviel/ControlNet')
controlnet = ControlNetModel.from_pretrained(
    "lllyasviel/sd-controlnet-openpose", torch_dtype=torch.float16
)
pipe = StableDiffusionControlNetPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5", controlnet=controlnet, safety_checker=None, torch_dtype=torch.float16
)

def image2image(image, prompt):
    image = openpose(image)
    pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
    pipe.enable_xformers_memory_efficient_attention()
    pipe.enable_model_cpu_offload()
    image = pipe(prompt, image, num_inference_steps=20).images[0]

    return image

with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
    gr.Markdown("""
    <div align='center' ><font size='60'>根据姿势生成图片</font></div>
    """)
    with gr.Row():
        with gr.Column():
            image = gr.Image(label="图片", type='pil')
            prompt = gr.Textbox(label="提示词")
            with gr.Row():
                button = gr.Button("提交", variant="primary")
        box2 = gr.Image(label="图片")

    button.click(fn=image2image, inputs=[image, prompt], outputs=box2)
    examples = gr.Examples(examples=[['pose.png', 'chef in the kitchen']],  inputs=[image, prompt], label="例子")

if __name__ == "__main__":
    demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0")