app.py

import os
import datetime

import gradio as gr
from pnginfo import read_info_from_image, send_paras

from utils import set_token, generate_novelai_image, image_from_bytes

today_count = 0
today = datetime.date.today().strftime('%Y-%m-%d')

def get_count():
    global today_count, today
    now = datetime.date.today().strftime('%Y-%m-%d')
    if now != today:
        today = now
        today_count = 0
    return "Total number of today's image generation: " + str(today_count)

def control_ui():
    prompt = gr.TextArea(label="Prompt", lines=3, value="{breast expansion},{gigantic breasts},[artist:ningen_mame],artist:ciloranko,[artist:sho_(sho_lwlw)],[artist:foifoi (marfoyfoyfoy)],1girl,skinny,narrow waist,")
    quality_tags = gr.TextArea(
        label="Quality Tags", lines=1,
        value="best quality, amazing quality, very aesthetic, absurdres",
    )
    neg_prompt = gr.TextArea(
        label="Negative Prompt", lines=1,
        value="wide hips,thick thighs,plump,lowres, {bad}, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract],pubic hair",
    )
    with gr.Row():
        sampler = gr.Dropdown(
            choices=[
                "k_euler", "k_euler_ancestral", "k_dpmpp_2s_ancestral", 
                "k_dpmpp_2m", "k_dpmpp_sde", "ddim_v3"
            ],
            value="k_euler",
            label="Sampler",
            interactive=True
        )
        scale = gr.Slider(label="Scale", value=5.0, minimum=1, maximum=10, step=0.1)
        steps = gr.Slider(label="Steps", value=28, minimum=1, maximum=28, step=1)
    with gr.Row():
        seed = gr.Number(label="Seed", value=-1, step=1, maximum=2**32-1, minimum=-1, scale=3)
        rand_seed = gr.Button('🎲️', scale=1)
        reuse_seed = gr.Button('♻️', scale=1)
    with gr.Row():
        width = gr.Slider(label="Width", value=1024, minimum=64, maximum=2048, step=64)
        height = gr.Slider(label="Height", value=1024, minimum=64, maximum=2048, step=64)
    with gr.Row():
        with gr.Column():
            with gr.Accordion('风格迁移', open=False):
                ref_image = gr.Image(label="上传图片", value=None, interactive=True, type="pil")
                info_extract = gr.Slider(label='参考信息提取', value=1, minimum=0, maximum=1, step=0.1)
                ref_str = gr.Slider(label='参考强度', value=0.6, minimum=0, maximum=1, step=0.1)
                reuse_img_vibe = gr.Button(value='使用上一次生成的图片')
            with gr.Accordion('图生图', open=False):
                i2i_image = gr.Image(label="上传图片", value=None, sources=["upload"], interactive=True, type="pil")
                i2i_str = gr.Slider(label='去噪强度', value=0.7, minimum=0, maximum=0.99, step=0.01)
                i2i_noise = gr.Slider(label='噪声', value=0, minimum=0, maximum=1, step=0.1)
                reuse_img_i2i = gr.Button(value='使用上一次生成的图片')
            '''
            with gr.Accordion('局部重绘', open=False, visible=False):
                with gr.Row():
                    use_inp = gr.Checkbox(label='启用', value=False)
                    overlay = gr.Checkbox(label='覆盖原图', value=True)
                inp_img = gr.ImageEditor(label="上传图片", value=None, sources=["upload"], interactive=True, type="pil", eraser=False, transforms=None, brush='imagemask')
                inp_str = gr.Slider(label='重绘强度', value=0.7, minimum=0, maximum=0.99, step=0.01)
                reuse_img_inp = gr.Button(value='使用上一次生成的图片')
            '''
    with gr.Row():
        with gr.Column():
            with gr.Accordion('Advanced Gen Setting', open=False):
                scheduler = gr.Dropdown(
                    choices=[
                        "native", "karras", "exponential", "polyexponential"
                    ],
                    value="native",
                    label="Scheduler",
                    interactive=True
                )
                with gr.Row():
                    smea = gr.Checkbox(False, label="SMEA")
                    dyn = gr.Checkbox(False, label="SMEA DYN")
                with gr.Row():
                    dyn_threshold = gr.Checkbox(False, label="Dynamic Thresholding")
                    cfg_rescale = gr.Slider(0, 1, 0, step=0.01, label="CFG rescale")
        with gr.Column():
            gr.Textbox(value=get_count, label='Usage count', every=10)
            save = gr.Checkbox(value=False, label='Always save all generated images', visible=False)
    gen_btn = gr.Button(value="Generate", variant="primary")
    rand_seed.click(fn=lambda: -1, inputs=None, outputs=seed)
    width.change(lambda w, h: h if w*h<=1024*1024 else (1024*1024//w//64)*64, [width, height], height)
    height.change(lambda w, h: w if w*h<=1024*1024 else (1024*1024//h//64)*64, [width, height], width)
    return gen_btn,[prompt, quality_tags, neg_prompt, seed, scale, width, height, steps, sampler, scheduler, smea, dyn, dyn_threshold, cfg_rescale, ref_image, info_extract, ref_str, i2i_image, i2i_str, i2i_noise], [save, rand_seed, reuse_seed, reuse_img_vibe, reuse_img_i2i]


def generate(prompt, quality_tags, neg_prompt, seed, scale, width, height, steps, sampler, scheduler, smea, dyn, dyn_threshold, cfg_rescale, ref_image, info_extract, ref_str, i2i_image, i2i_str, i2i_noise, save):
    global today_count
    set_token(os.environ.get('token'))
    img_data, payload = generate_novelai_image(
        f"{prompt}, {quality_tags}", neg_prompt, seed, scale, 
        width, height, steps, sampler, scheduler, 
        smea, dyn, dyn_threshold, cfg_rescale, ref_image, info_extract, ref_str,
        i2i_image, i2i_str, i2i_noise
    )
    if not isinstance(img_data, bytes):
        return None, payload
    today_count += 1
    img = image_from_bytes(img_data)
    
    return img, payload


def preview_ui():
    with gr.Blocks(css='#preview_image { height: 100%;}'):
        image = gr.Image(elem_id='preview_image', interactive=False, type='pil')
        info = gr.JSON(value={}, label="Submitted Payload")
    return image, info


def main_ui():
    with gr.Blocks() as page:
        with gr.Row(variant="panel"):
            with gr.Column():
                gen_btn, paras, others = control_ui()
            with gr.Column():
                image, info = preview_ui()
    gen_btn.click(generate, paras + [others[0], others[4]], [image, info])
    others[2].click(lambda o, s: o if len(s) == 0 else s['parameters']['seed'], inputs=[paras[3], info], outputs=paras[3])
    others[3].click(lambda i: i, inputs=image, outputs=paras[14])
    others[4].click(lambda i: i, inputs=image, outputs=paras[17])
    return page, paras[:14]


def util_ui():
    with gr.Blocks(analytics_enabled=False) as page:
        with gr.Row(equal_height=False):
            with gr.Column(variant='panel'):
                image = gr.Image(label="Source", interactive=True, type="pil")
            with gr.Column(variant='panel'):
                info = gr.HTML()
                items = gr.JSON(value=None, visible=False)
                png2main = gr.Button('Send to txt2img')
    return page, png2main, items, info, image

def ui():
    with gr.Blocks(title="NAI Client") as website:
        with gr.Tabs():
            with gr.TabItem("Main", elem_id="client_ui_main"):
                _, paras = main_ui()
            with gr.TabItem("PNG Info"):
                _, png2main, png_items, info, image = util_ui()
            png2main.click(fn=send_paras,
                           inputs=[png_items] + paras,
                           outputs=paras)
            png2main.click(fn=None,
                           js="(x) => { if (x !== null) document.getElementById('client_ui_main-button').click(); return null; }",
                           inputs=image)
            image.change(read_info_from_image, inputs=image, outputs=[info, png_items])
    return website


if __name__ == '__main__':
    website = ui()
    website.queue()
    website.launch(auth=(os.environ.get('account'), os.environ.get('password')))