app.py

import imp
import gradio as gr
import io 
from PIL import Image, PngImagePlugin
import base64
import requests
import json 
import ui_functions as uifn
from css_and_js import js, call_JS

txt2img_defaults = {
    'prompt': '',
    'ddim_steps': 50,
    'toggles': [1, 2, 3],
    'sampler_name': 'k_lms',
    'ddim_eta': 0.0,
    'n_iter': 1,
    'batch_size': 1,
    'cfg_scale': 7.5,
    'seed': '',
    'height': 512,
    'width': 512,
    'fp': None,
    'variant_amount': 0.0,
    'variant_seed': '',
    'submit_on_enter': 'Yes',
}

img2img_defaults = {
    'prompt': '',
    'ddim_steps': 50,
    'toggles': [1, 4, 5],
    'sampler_name': 'k_lms',
    'ddim_eta': 0.0,
    'n_iter': 1,
    'batch_size': 1,
    'cfg_scale': 5.0,
    'denoising_strength': 0.75,
    'mask_mode': 1,
    'resize_mode': 0,
    'seed': '',
    'height': 512,
    'width': 512,
    'fp': None,
}
sample_img2img = None
job_manager = None
RealESRGAN = True
show_embeddings = False

img2img_resize_modes = [
    "Just resize",
    "Crop and resize",
    "Resize and fill",
]

img2img_toggles = [
    'Create prompt matrix (separate multiple prompts using |, and get all combinations of them)',
    'Normalize Prompt Weights (ensure sum of weights add up to 1.0)',
    'Loopback (use images from previous batch when creating next batch)',
    'Random loopback seed',
    'Save individual images',
    'Save grid',
    'Sort samples by prompt',
    'Write sample info files',
    'Write sample info to one file',
    'jpg samples',
]

img2img_toggle_defaults = [img2img_toggles[i] for i in img2img_defaults['toggles']]

def read_content(file_path: str) -> str:
    """read the content of target file
    """
    with open(file_path, 'r', encoding='utf-8') as f:
        content = f.read()

    return content

def base2picture(resbase64):
    res=resbase64.split(',')[1]
    img_b64decode = base64.b64decode(res)
    image = io.BytesIO(img_b64decode)
    img = Image.open(image)
    return img 

def filter_content(raw_style: str):
    if "(" in raw_style:
        i = raw_style.index("(")
    else :
        i = -1

    if i == -1:
        return raw_style
    else :
        return raw_style[:i]

def request_images(raw_text, class_draw, style_draw, batch_size, sr_option):
    if filter_content(class_draw) != "国画":
        if filter_content(class_draw) != "通用":
            raw_text = raw_text + f"，{filter_content(class_draw)}"

        for sty in style_draw:
            raw_text = raw_text + f"，{filter_content(sty)}"
        print(f"raw text is {raw_text}")
        url = "http://flagart.baai.ac.cn/api/general/"
    elif filter_content(class_draw) == "国画":
        if raw_text.endswith("国画"):
            pass 
        else :
            raw_text = raw_text + "，国画"
        url = "http://flagart.baai.ac.cn/api/guohua/"

    d = {"data":[raw_text, batch_size, sr_option]}
    r = requests.post(url, json=d, headers={"Content-Type": "application/json", "Accept": "*/*", "Accept-Encoding": "gzip, deflate, br", "Connection": "keep-alive"})
    result_text = r.text
    content = json.loads(result_text)["data"][0]
    images = []
    for i in range(batch_size):
        # print(content[i])
        images.append(base2picture(content[i]))        

    return images 

def encode_pil_to_base64(pil_image):
    with io.BytesIO() as output_bytes:

        # Copy any text-only metadata
        use_metadata = False
        metadata = PngImagePlugin.PngInfo()
        for key, value in pil_image.info.items():
            if isinstance(key, str) and isinstance(value, str):
                metadata.add_text(key, value)
                use_metadata = True

        pil_image.save(
            output_bytes, "PNG", pnginfo=(metadata if use_metadata else None)
        )
        bytes_data = output_bytes.getvalue()
    base64_str = str(base64.b64encode(bytes_data), "utf-8")
    return "data:image/png;base64," + base64_str

def img2img(*args):
    
    # 处理image
    for i, item in enumerate(args):
        # print(type(item))
        if type(item) == dict:
            args[i]['image']  = encode_pil_to_base64(item['image'])
            args[i]['mask'] = encode_pil_to_base64(item['mask'])
        # else:
        #     print(i,type(item))
        #     print(item)
    
    batch_size = args[8]

    url = "http://flagart.baai.ac.cn/api/img2img/"
    d = {"data":args}
    r = requests.post(url, json=d, headers={"Content-Type": "application/json", "Accept": "*/*", "Accept-Encoding": "gzip, deflate, br", "Connection": "keep-alive"})
    # print(r)
    result_text = r.text
    content = json.loads(result_text)["data"][0]
    images = []
    for i in range(batch_size):
        # print(content[i])
        images.append(base2picture(content[i]))   
    # content = json.loads(result_text)
    # print(result_text)
    # print("服务器已经把东西返回来啦！！！！！！！乌拉乌拉！！！！！")
    return images


examples = [
    '水墨蝴蝶和牡丹花，国画',
    '苍劲有力的墨竹，国画',
    '暴风雨中的灯塔',
    '机械小松鼠，科学幻想',
    '中国水墨山水画，国画',
    "Lighthouse in the storm",
    "A dog",
    "Landscape by 张大千",
    "A tiger 长了兔子耳朵",
    "A baby bird 铅笔素描",

]

if __name__ == "__main__":
    block = gr.Blocks(css=read_content('style.css'))

    with block:
        gr.HTML(read_content("header.html"))

        with gr.Tabs(elem_id='tabss') as tabs:

            with gr.TabItem("文生图(Text-to-img)", id='txt2img_tab'):

                with gr.Group():
                    with gr.Box():
                        with gr.Row().style(mobile_collapse=False, equal_height=True):
                            text = gr.Textbox(
                                label="Prompt",
                                show_label=False,
                                max_lines=1,
                                placeholder="Input text(输入文字)",
                                interactive=True,
                            ).style(
                                border=(True, False, True, True),
                                rounded=(True, False, False, True),
                                container=False,
                            )
                            
                            btn = gr.Button("Generate image").style(
                                margin=False,
                                rounded=(True, True, True, True),
                            )
                        with gr.Row().style(mobile_collapse=False, equal_height=True):
                            class_draw = gr.Dropdown(["通用(general)", "国画(traditional Chinese painting)", 
                                                        "照片，摄影(picture photography)", "油画(oil painting)", 
                                                        "铅笔素描(pencil sketch)", "CG", 
                                                        "水彩画(watercolor painting)", "水墨画(ink and wash)",
                                                        "插画(illustrations)", "3D", "图生图(img2img)"],
                                                    label="生成类型(type)",
                                                    show_label=True,
                                                    value="通用(general)")
                        with gr.Row().style(mobile_collapse=False, equal_height=True):
                            style_draw = gr.CheckboxGroup(["蒸汽朋克(steampunk)", "电影摄影风格(film photography)", 
                                                        "概念艺术(concept art)", "Warming lighting", 
                                                        "Dramatic lighting", "Natural lighting", 
                                                        "虚幻引擎(unreal engine)", "4k", "8k",
                                                        "充满细节(full details)"],
                                                    label="画面风格(style)",
                                                    show_label=True,
                                                    )
                        with gr.Row().style(mobile_collapse=False, equal_height=True):
                            sample_size = gr.Slider(minimum=1,
                                                    maximum=4,
                                                    step=1,
                                                    label="生成数量(number)",
                                                    show_label=True,
                                                    interactive=True,
                                                    )
                        with gr.Row().style(mobile_collapse=False, equal_height=True):
                            sr_option = gr.Checkbox(value=False, label="是否使用超分(Whether to use super-resolution)")

                    gallery = gr.Gallery(
                        label="Generated images", show_label=False, elem_id="gallery"
                    ).style(grid=[2], height="auto")

                    output_txt2img_copy_to_input_btn = gr.Button("Go to img2img")

                    gr.Examples(examples=examples, fn=request_images, inputs=text, outputs=gallery, examples_per_page=100)
                    text.submit(request_images, inputs=[text, class_draw, style_draw, sample_size, sr_option], outputs=gallery)
                    btn.click(request_images, inputs=[text, class_draw, style_draw, sample_size, sr_option], outputs=gallery)

            with gr.TabItem("图生图(Img-to-Img)", id="img2img_tab"):
                with gr.Row(elem_id="prompt_row"):
                    img2img_prompt = gr.Textbox(label="Prompt",
                                                elem_id='img2img_prompt_input',
                                                placeholder="神奇的森林，流淌的河流.",
                                                lines=1,
                                                max_lines=1 if txt2img_defaults['submit_on_enter'] == 'Yes' else 25,
                                                value=img2img_defaults['prompt'],
                                                show_label=False).style()

                    img2img_btn_mask = gr.Button("Generate", variant="primary", visible=False,
                                                 elem_id="img2img_mask_btn")
                    img2img_btn_editor = gr.Button("Generate", variant="primary", elem_id="img2img_edit_btn")
                with gr.Row().style(equal_height=False):
                    with gr.Column():
                        gr.Markdown('#### 输入图像')
                        img2img_image_mask = gr.Image(
                            value=sample_img2img,
                            source="upload",
                            interactive=True,
                            tool="sketch",
                            type='pil',
                            elem_id="img2img_mask",
                            image_mode="RGBA"
                        )
                        img2img_image_editor = gr.Image(
                            value=sample_img2img,
                            source="upload",
                            interactive=True,
                            tool="select",
                            type='pil',
                            visible=False,
                            image_mode="RGBA",
                            elem_id="img2img_editor"
                        )

                        with gr.Tabs():
                            with gr.TabItem("编辑设置"):
                                with gr.Row():
                                    # disable Uncrop for now
                                    choices=["Mask", "Crop", "Uncrop"]
                                    img2img_image_editor_mode = gr.Radio(choices=["Mask"],
                                                                         label="编辑模式",
                                                                         value="Mask", elem_id='edit_mode_select',
                                                                         visible=True)
                                    img2img_mask = gr.Radio(choices=["保留mask区域", "生成mask区域"],
                                                            label="Mask 方式",
                                                            #value=img2img_mask_modes[img2img_defaults['mask_mode']],
                                                            value = "生成mask区域",
                                                            visible=True)

                                    img2img_mask_blur_strength = gr.Slider(minimum=1, maximum=10, step=1,
                                                                           label="How much blurry should the mask be? (to avoid hard edges)",
                                                                           value=3, visible=False)

                                    img2img_resize = gr.Radio(label="Resize mode",
                                                              choices=["Just resize", "Crop and resize",
                                                                       "Resize and fill"],
                                                              value=img2img_resize_modes[
                                                                  img2img_defaults['resize_mode']], visible=False)

                                img2img_painterro_btn = gr.Button("Advanced Editor",visible=False)
                            # with gr.TabItem("Hints",visible=False):
                            #     img2img_help = gr.Markdown(visible=False, value=uifn.help_text)

                    with gr.Column():
                        gr.Markdown('#### 编辑后的图片')
                        output_img2img_gallery = gr.Gallery(label="Images", elem_id="img2img_gallery_output").style(
                            grid=[4, 4, 4])
                        img2img_job_ui = job_manager.draw_gradio_ui() if job_manager else None
                        with gr.Column(visible=False):
                            with gr.Tabs(visible=False):
                                with gr.TabItem("", id="img2img_actions_tab",visible=False):
                                    gr.Markdown("Select an image, then press one of the buttons below")
                                    with gr.Row():
                                        output_img2img_copy_to_clipboard_btn = gr.Button("Copy to clipboard")
                                        output_img2img_copy_to_input_btn = gr.Button("Push to img2img input")
                                        output_img2img_copy_to_mask_btn = gr.Button("Push to img2img input mask")

                                    gr.Markdown("Warning: This will clear your current image and mask settings!")
                                with gr.TabItem("", id="img2img_output_info_tab",visible=False):
                                    output_img2img_params = gr.Textbox(label="Generation parameters")
                                    with gr.Row():
                                        output_img2img_copy_params = gr.Button("Copy full parameters").click(
                                            inputs=output_img2img_params, outputs=[],
                                            _js='(x) => {navigator.clipboard.writeText(x.replace(": ",":"))}', fn=None,
                                            show_progress=False)
                                        output_img2img_seed = gr.Number(label='Seed', interactive=False, visible=False)
                                        output_img2img_copy_seed = gr.Button("Copy only seed").click(
                                            inputs=output_img2img_seed, outputs=[],
                                            _js=call_JS("gradioInputToClipboard"), fn=None, show_progress=False)
                                    output_img2img_stats = gr.HTML(label='Stats')

                gr.Markdown('# 编辑设置',visible=False)

                with gr.Row(visible=False):
                    with gr.Column():
                        img2img_width = gr.Slider(minimum=64, maximum=2048, step=64, label="图片宽度",
                                                  value=img2img_defaults["width"])
                        img2img_height = gr.Slider(minimum=64, maximum=2048, step=64, label="图片高度",
                                                   value=img2img_defaults["height"])
                        img2img_cfg = gr.Slider(minimum=-40.0, maximum=30.0, step=0.5,
                                                label='文本引导强度',
                                                value=img2img_defaults['cfg_scale'], elem_id='cfg_slider')
                        img2img_seed = gr.Textbox(label="随机种子", lines=1, max_lines=1,
                                                  value=img2img_defaults["seed"])
                        img2img_batch_count = gr.Slider(minimum=1, maximum=50, step=1,
                                                        label='生成数量',
                                                        value=img2img_defaults['n_iter'])
                        img2img_dimensions_info_text_box = gr.Textbox(
                            label="长宽比设置")
                    with gr.Column():
                        img2img_steps = gr.Slider(minimum=1, maximum=250, step=1, label="采样步数",
                                                  value=img2img_defaults['ddim_steps'])

                        img2img_sampling = gr.Dropdown(label='采样方式',
                                                       choices=["DDIM", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler',
                                                                'k_heun', 'k_lms'],
                                                       value=img2img_defaults['sampler_name'])

                        img2img_denoising = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising Strength',
                                                      value=img2img_defaults['denoising_strength'],visible=False)

                        img2img_toggles = gr.CheckboxGroup(label='', choices=img2img_toggles,
                                                           value=img2img_toggle_defaults,visible=False)

                        img2img_realesrgan_model_name = gr.Dropdown(label='RealESRGAN model',
                                                                    choices=['RealESRGAN_x4plus',
                                                                             'RealESRGAN_x4plus_anime_6B'],
                                                                    value='RealESRGAN_x4plus',
                                                                    visible=RealESRGAN is not None)  # TODO: Feels like I shouldnt slot it in here.

                        img2img_embeddings = gr.File(label="Embeddings file for textual inversion",
                                                     visible=show_embeddings)

                img2img_image_editor_mode.change(
                    uifn.change_image_editor_mode,
                    [img2img_image_editor_mode,
                     img2img_image_editor,
                     img2img_image_mask,
                     img2img_resize,
                     img2img_width,
                     img2img_height
                     ],
                    [img2img_image_editor, img2img_image_mask, img2img_btn_editor, img2img_btn_mask,
                     img2img_painterro_btn, img2img_mask, img2img_mask_blur_strength]
                )
                
                # 这个函数之前注释掉了，但是没有出现bug，看一下这个的作用；
                img2img_image_editor_mode.change(
                    uifn.update_image_mask,
                    [img2img_image_editor, img2img_resize, img2img_width, img2img_height],
                    img2img_image_mask
                )

                # 把上面这个注释掉下面就不管用了，很神奇无法理解...
                # output_txt2img_copy_to_input_btn.click(
                #     uifn.copy_img_to_input,
                #     [gallery],
                #     [tabs, img2img_image_editor, img2img_image_mask],
                #     _js=call_JS("moveImageFromGallery",
                #                 fromId="txt2img_gallery_output",
                #                 toId="img2img_mask")
                # )
                output_txt2img_copy_to_input_btn.click(
                    uifn.copy_img_to_input,
                    [gallery],
                    [tabs, img2img_image_editor, img2img_image_mask],
                )
                
                # 下面这几个函数现在都没什么用
                output_img2img_copy_to_input_btn.click(
                    uifn.copy_img_to_edit,
                    [output_img2img_gallery],
                    [img2img_image_editor, tabs, img2img_image_editor_mode],
                    _js=call_JS("moveImageFromGallery",
                                fromId="gallery",
                                toId="img2img_editor")
                )
                output_img2img_copy_to_mask_btn.click(
                    uifn.copy_img_to_mask,
                    [output_img2img_gallery],
                    [img2img_image_mask, tabs, img2img_image_editor_mode],
                    _js=call_JS("moveImageFromGallery",
                                fromId="img2img_gallery_output",
                                toId="img2img_editor")
                )

                output_img2img_copy_to_clipboard_btn.click(fn=None, inputs=output_img2img_gallery, outputs=[],
                                                           _js=call_JS("copyImageFromGalleryToClipboard",
                                                                       fromId="img2img_gallery_output")
                                                           )

                img2img_func = img2img
                img2img_inputs = [img2img_prompt, img2img_image_editor_mode, img2img_mask,
                                  img2img_mask_blur_strength, img2img_steps, img2img_sampling, img2img_toggles,
                                  img2img_realesrgan_model_name, img2img_batch_count, img2img_cfg,
                                  img2img_denoising, img2img_seed, img2img_height, img2img_width, img2img_resize,
                                  img2img_image_mask]
                # img2img_outputs = [output_img2img_gallery, output_img2img_seed, output_img2img_params,
                #                    output_img2img_stats]

                img2img_outputs = [output_img2img_gallery]

                # If a JobManager was passed in then wrap the Generate functions
                if img2img_job_ui:
                    img2img_func, img2img_inputs, img2img_outputs = img2img_job_ui.wrap_func(
                        func=img2img_func,
                        inputs=img2img_inputs,
                        outputs=img2img_outputs,
                    )

                img2img_btn_mask.click(
                    img2img_func,
                    img2img_inputs,
                    img2img_outputs
                )

                def img2img_submit_params():
                    # print([img2img_prompt, img2img_image_editor_mode, img2img_mask,
                    #              img2img_mask_blur_strength, img2img_steps, img2img_sampling, img2img_toggles,
                    #              img2img_realesrgan_model_name, img2img_batch_count, img2img_cfg,
                    #              img2img_denoising, img2img_seed, img2img_height, img2img_width, img2img_resize,
                    #              img2img_image_editor, img2img_image_mask, img2img_embeddings])
                    return (img2img_func,
                            img2img_inputs,
                            img2img_outputs)

                img2img_btn_editor.click(*img2img_submit_params())

                # GENERATE ON ENTER
                img2img_prompt.submit(None, None, None,
                                      _js=call_JS("clickFirstVisibleButton",
                                                  rowId="prompt_row"))

                img2img_painterro_btn.click(None,
                                            [img2img_image_editor, img2img_image_mask, img2img_image_editor_mode],
                                            [img2img_image_editor, img2img_image_mask],
                                            _js=call_JS("Painterro.init", toId="img2img_editor")
                                            )

                img2img_width.change(fn=uifn.update_dimensions_info, inputs=[img2img_width, img2img_height],
                                     outputs=img2img_dimensions_info_text_box)
                img2img_height.change(fn=uifn.update_dimensions_info, inputs=[img2img_width, img2img_height],
                                      outputs=img2img_dimensions_info_text_box)

        gr.HTML(read_content("footer.html"))
        # gr.Image('./contributors.png')

    block.queue(max_size=50, concurrency_count=20).launch()