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import os | |
import datetime | |
import toml | |
import gradio as gr | |
from PIL import PngImagePlugin | |
from pnginfo import read_info_from_image, send_paras | |
from images_history import img_history_ui | |
from utils import set_token, generate_novelai_image, image_from_bytes | |
client_config = toml.load("config.toml")['client'] | |
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 "今日已生成图片" + str(today_count) + "张" | |
def control_ui(): | |
prompt = gr.TextArea(value="{breast expansion},{gigantic breasts},[artist:ningen_mame],artist:ciloranko,[artist:sho_(sho_lwlw)],[artist:foifoi (marfoyfoyfoy)],1girl,{1boy},skinny,narrow waist,loli,", elem_id='txt2img_prompt', label="提示词", lines=3) | |
quality_tags = gr.TextArea( | |
elem_id='txt2img_qua_prompt', label="质量词", lines=1, | |
value=client_config['default_quality'], | |
) | |
neg_prompt = gr.TextArea( | |
elem_id='txt2img_neg_prompt', label="负面词", lines=1, | |
value=client_config['default_neg'], | |
) | |
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="采样器", | |
interactive=True | |
) | |
scale = gr.Slider(label="CFG Scale", value=5.0, minimum=1, maximum=10, step=0.1) | |
steps = gr.Slider(label="步数", value=28, minimum=1, maximum=28, step=1) | |
with gr.Row(): | |
seed = gr.Number(label="种子", 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="宽度", value=1024, minimum=64, maximum=2048, step=64) | |
height = gr.Slider(label="高度", 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, sources=["upload", "clipboard", "webcam"], 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", "clipboard", "webcam"], 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('高级选项', 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='使用统计', every=10) | |
save = gr.Checkbox(value=True, label='云端保存图片') | |
gen_btn = gr.Button(value="生成", 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 gr.Image(value=None), payload | |
today_count += 1 | |
img = image_from_bytes(img_data) | |
if save: | |
save_path = client_config['save_path'] | |
today = datetime.date.today().strftime('%Y-%m-%d') | |
today_path = os.path.join(save_path, today) | |
os.makedirs(today_path, exist_ok=True) | |
filename = str(today_count).rjust(5, '0') + '-' + str(payload['parameters']['seed']) + '.png' | |
pnginfo_data = PngImagePlugin.PngInfo() | |
for k, v in img.info.items(): | |
pnginfo_data.add_text(k, str(v)) | |
img.save(os.path.join(today_path, filename), pnginfo=pnginfo_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="生成信息") | |
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]], [image, info], concurrency_limit=1) | |
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="上传图片", sources=["upload"], interactive=True, type="pil") | |
with gr.Column(variant='panel'): | |
info = gr.HTML() | |
items = gr.JSON(value=None, visible=False) | |
png2main = gr.Button('参数发送到文生图') | |
return page, png2main, items, info, image | |
def ui(): | |
head = '' | |
for f in sorted(os.listdir('./tagcomplete/javascript')): | |
head += f'<script type="text/javascript" src="file=tagcomplete/javascript/{f}"></script>\n' | |
with gr.Blocks(title="NAI Client", head=head, theme=gr.themes.Base()) as website: | |
with gr.Tabs(): | |
with gr.TabItem("文生图", elem_id="client_ui_main"): | |
_, paras = main_ui() | |
with gr.TabItem("图片信息读取"): | |
_, png2main, png_items, info, image = util_ui() | |
with gr.TabItem("云端图片浏览") as tab: | |
gal2main, gal_items = img_history_ui(tab) | |
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) | |
gal2main.click(fn=send_paras, | |
inputs=[gal_items] + paras, | |
outputs=paras) | |
gal2main.click(fn=None, | |
js="(x) => { if (x !== null) document.getElementById('client_ui_main-button').click(); return null; }", | |
inputs=gal_items) | |
image.change(read_info_from_image, inputs=image, outputs=[info, png_items]) | |
return website | |
if __name__ == '__main__': | |
website = ui() | |
website.queue(default_concurrency_limit=5) | |
website.launch(auth=(os.environ.get('account'), os.environ.get('password')), allowed_paths=['tagcomplete'], debug=True) |