Text-to-Image / app.py
liuyizhang
add prompt
dc3f3fe
raw
history blame
10.8 kB
from transformers import pipeline
import gradio as gr
import random
import paddlehub as hub
from loguru import logger
language_translation_model = hub.Module(directory=f'./baidu_translate')
def getTextTrans(text, source='zh', target='en'):
try:
text_translation = language_translation_model.translate(text, source, target)
return text_translation
except Exception as e:
return text
extend_prompt_pipe = pipeline('text-generation', model='./model', max_length=77)
def extend_prompt(prompt):
prompt_en = getTextTrans(prompt, source='zh', target='en')
extend_prompt_en = extend_prompt_pipe(prompt_en+',', num_return_sequences=1)[0]["generated_text"]
if (prompt != prompt_en):
extend_prompt_zh = getTextTrans(extend_prompt_en, source='en', target='zh')
extend_prompt_out = f'{extend_prompt_zh} 【{extend_prompt_en}】'
else:
extend_prompt_out = extend_prompt_en
return prompt_en, extend_prompt_en, extend_prompt_out
examples = [
['elon musk as thor'],
["giant dragon flying in the sky"],
['psychedelic liquids space'],
["a coconut laying on the beach"],
["peaceful village landscape"],
]
# model_ids = {
# # "models/stabilityai/stable-diffusion-2-1":"sd-v2-1",
# "models/stabilityai/stable-diffusion-2":"sd-v2-0",
# # "models/runwayml/stable-diffusion-v1-5":"sd-v1-5",
# # "models/CompVis/stable-diffusion-v1-4":"sd-v1-4",
# "models/prompthero/openjourney":"openjourney",
# "models/hakurei/waifu-diffusion":"waifu-diffusion",
# "models/Linaqruf/anything-v3.0":"anything-v3.0",
# }
space_ids = {
"spaces/stabilityai/stable-diffusion":"Stable Diffusion 2.1",
"spaces/stabilityai/stable-diffusion-1":"Stable Diffusion 1.0",
# "spaces/hakurei/waifu-diffusion-demo":"waifu-diffusion",
}
tab_actions = []
tab_titles = []
thanks_info = "Thanks: "
thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/daspartho/prompt-extend' _blank><font style='color:blue;weight:bold;'>prompt-extend</font></a>]"
for space_id in space_ids.keys():
print(space_id, space_ids[space_id])
try:
tab = gr.Interface.load(space_id)
tab_actions.append(tab)
tab_titles.append(space_ids[space_id])
thanks_info += f"[<a style='display:inline-block' href='https://huggingface.co/{space_id}' _blank><font style='color:blue;weight:bold;'>{space_ids[space_id]}</font></a>]"
except Exception as e:
logger.info(f"load_fail__{space_id}_{e}")
start_work = """async() => {
function isMobile() {
try {
document.createEvent("TouchEvent"); return true;
} catch(e) {
return false;
}
}
function getClientHeight()
{
var clientHeight=0;
if(document.body.clientHeight&&document.documentElement.clientHeight) {
var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
} else {
var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
}
return clientHeight;
}
function setNativeValue(element, value) {
const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set;
const prototype = Object.getPrototypeOf(element);
const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set;
if (valueSetter && valueSetter !== prototypeValueSetter) {
prototypeValueSetter.call(element, value);
} else {
valueSetter.call(element, value);
}
}
var gradioEl = document.querySelector('body > gradio-app').shadowRoot;
if (!gradioEl) {
gradioEl = document.querySelector('body > gradio-app');
}
if (typeof window['gradioEl'] === 'undefined') {
window['gradioEl'] = gradioEl;
tabitems = window['gradioEl'].querySelectorAll('.tabitem');
for (var i = 0; i < tabitems.length; i++) {
if ([0, 1].includes(i)) {
tabitems[i].childNodes[0].children[0].style.display='none';
for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) {
if (j != 1) {
tabitems[i].childNodes[0].children[1].children[j].style.display='none';
}
}
} else if (i==2) {
tabitems[i].childNodes[0].children[0].style.display='none';
tabitems[i].childNodes[0].children[1].style.display='none';
tabitems[i].childNodes[0].children[2].children[0].style.display='none';
tabitems[i].childNodes[0].children[3].style.display='none';
}
}
tab_demo = window['gradioEl'].querySelectorAll('#tab_demo')[0];
tab_demo.style.display = "block";
tab_demo.setAttribute('style', 'height: 100%;');
const page1 = window['gradioEl'].querySelectorAll('#page_1')[0];
const page2 = window['gradioEl'].querySelectorAll('#page_2')[0];
window['gradioEl'].querySelectorAll('.gr-radio')[0].disabled = "";
window['gradioEl'].querySelectorAll('.gr-radio')[1].disabled = "";
page1.style.display = "none";
page2.style.display = "block";
window['prevPrompt'] = '';
window['doCheckPrompt'] = 0;
window['checkPrompt'] = function checkPrompt() {
try {
texts = window['gradioEl'].querySelectorAll('textarea');
text0 = texts[0];
text1 = texts[1];
text2 = texts[2];
if (window['gradioEl'].querySelectorAll('.gr-radio')[0].checked) {
text_value = text1.value;
} else {
text_value = text2.value;
}
progress_bar = window['gradioEl'].querySelectorAll('.progress-bar');
if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text_value && progress_bar.length == 0) {
console.log('_____new prompt___[' + text_value + ']_');
window['doCheckPrompt'] = 1;
window['prevPrompt'] = text_value;
tabitems = window['gradioEl'].querySelectorAll('.tabitem');
for (var i = 0; i < tabitems.length; i++) {
if ([0, 1].includes(i)) {
inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('.gr-text-input')[0];
} else if (i==2) {
inputText = tabitems[i].childNodes[0].children[2].children[0].children[0].querySelectorAll('.gr-text-input')[0];
}
setNativeValue(inputText, text_value);
inputText.dispatchEvent(new Event('input', { bubbles: true }));
}
setTimeout(function() {
btns = window['gradioEl'].querySelectorAll('button');
for (var i = 0; i < btns.length; i++) {
if (['Generate image','Run'].includes(btns[i].innerText)) {
btns[i].click();
}
}
window['doCheckPrompt'] = 0;
}, 10);
}
} catch(e) {
}
}
window['checkPrompt_interval'] = window.setInterval("window.checkPrompt()", 100);
}
return false;
}"""
descriptions = "Thanks: "
descriptions += "[<a style='display:inline-block' href='https://huggingface.co/spaces/daspartho/prompt-extend' _blank><font style='color:blue;weight:bold;'>prompt-extend</font></a>]"
descriptions += "[<a style='display:inline-block' href='https://huggingface.co/spaces/stabilityai/stable-diffusion-1' _blank><font style='color:blue;weight:bold;'>Stable Diffusion 1.0</font></a>]"
descriptions += "[<a style='display:inline-block' href='https://huggingface.co/spaces/stabilityai/stable-diffusion-1' _blank><font style='color:blue;weight:bold;'>Stable Diffusion 1.0</font></a>]"
descriptions += "[<a style='display:inline-block' href='https://huggingface.co/spaces/hakurei/waifu-diffusion-demo' _blank><font style='color:blue;weight:bold;'>waifu-diffusion-demo</font></a>]"
descriptions = f"<p>{descriptions}</p>"
with gr.Blocks(title='prompt-extend/') as demo:
# gr.HTML(descriptions)
with gr.Group(elem_id="page_1", visible=True) as page_1:
with gr.Box():
with gr.Row():
start_button = gr.Button("Let's GO!", elem_id="start-btn", visible=True)
start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)
with gr.Group(elem_id="page_2", visible=False) as page_2:
with gr.Row(elem_id="prompt_row0"):
with gr.Column(id="input_col1"):
prompt_input0 = gr.Textbox(lines=1, label="Original prompt", visible=True)
prompt_input0_en = gr.Textbox(lines=1, label="Original prompt", visible=False)
prompt_radio = gr.Radio(["Original prompt", "Extend prompt"], elem_id="prompt_radio",value="Extend prompt", show_label=False)
# with gr.Row(elem_id="prompt_row1"):
with gr.Column(id="input_col2"):
prompt_input1 = gr.Textbox(lines=2, label="Extend prompt", visible=False)
prompt_input2 = gr.Textbox(lines=2, label="Extend prompt", visible=True)
with gr.Row():
submit_btn = gr.Button(value = "submit",elem_id="submit-btn").style(
margin=True,
rounded=(True, True, True, True),
)
submit_btn.click(fn=extend_prompt, inputs=[prompt_input0], outputs=[prompt_input0_en, prompt_input1, prompt_input2])
with gr.Row(elem_id='tab_demo', visible=True).style(height=200):
tab_demo = gr.TabbedInterface(tab_actions, tab_titles)
with gr.Row():
gr.HTML(f"<p>{thanks_info}</p>")
demo.launch()