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from transformers import pipeline |
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import gradio as gr |
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import random |
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import string |
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import paddlehub as hub |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from loguru import logger |
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language_translation_model = hub.Module(directory=f'./baidu_translate') |
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def getTextTrans(text, source='zh', target='en'): |
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def is_chinese(string): |
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for ch in string: |
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if u'\u4e00' <= ch <= u'\u9fff': |
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return True |
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return False |
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if not is_chinese(text) and target == 'en': |
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return text |
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try: |
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text_translation = language_translation_model.translate(text, source, target) |
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return text_translation |
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except Exception as e: |
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return text |
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space_ids = { |
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"spaces/stabilityai/stable-diffusion": "SD 2.1", |
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"spaces/runwayml/stable-diffusion-v1-5": "SD 1.5", |
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"spaces/stabilityai/stable-diffusion-1": "SD 1.0", |
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"spaces/IDEA-CCNL/Taiyi-Stable-Diffusion-Chinese": "Taiyi(太乙)", |
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} |
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tab_actions = [] |
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tab_titles = [] |
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extend_prompt_1 = True |
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extend_prompt_2 = True |
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extend_prompt_3 = True |
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thanks_info = "Thanks: " |
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if extend_prompt_1: |
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extend_prompt_pipe = pipeline('text-generation', model='yizhangliu/prompt-extend', max_length=77, pad_token_id=0) |
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thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/daspartho/prompt-extend' _blank><font style='color:blue;weight:bold;'>prompt-extend(1)</font></a>]" |
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if extend_prompt_2: |
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def load_prompter(): |
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prompter_model = AutoModelForCausalLM.from_pretrained("microsoft/Promptist") |
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tokenizer = AutoTokenizer.from_pretrained("gpt2") |
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tokenizer.pad_token = tokenizer.eos_token |
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tokenizer.padding_side = "left" |
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return prompter_model, tokenizer |
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prompter_model, prompter_tokenizer = load_prompter() |
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def extend_prompt_microsoft(in_text): |
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input_ids = prompter_tokenizer(in_text.strip()+" Rephrase:", return_tensors="pt").input_ids |
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eos_id = prompter_tokenizer.eos_token_id |
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outputs = prompter_model.generate(input_ids, do_sample=False, max_new_tokens=75, num_beams=8, num_return_sequences=8, eos_token_id=eos_id, pad_token_id=eos_id, length_penalty=-1.0) |
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output_texts = prompter_tokenizer.batch_decode(outputs, skip_special_tokens=True) |
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res = output_texts[0].replace(in_text+" Rephrase:", "").strip() |
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return res |
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thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/microsoft/Promptist' _blank><font style='color:blue;weight:bold;'>Promptist(2)</font></a>]" |
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if extend_prompt_3: |
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MagicPrompt = gr.Interface.load("spaces/Gustavosta/MagicPrompt-Stable-Diffusion") |
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thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion' _blank><font style='color:blue;weight:bold;'>MagicPrompt(3)</font></a>]" |
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do_dreamlike_photoreal = False |
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if do_dreamlike_photoreal: |
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def add_random_noise(prompt, noise_level=0.1): |
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percentage_noise = noise_level * 5 |
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num_noise_chars = int(len(prompt) * (percentage_noise/100)) |
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noise_indices = random.sample(range(len(prompt)), num_noise_chars) |
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prompt_list = list(prompt) |
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for index in noise_indices: |
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prompt_list[index] = random.choice(string.ascii_letters + string.punctuation) |
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new_prompt = "".join(prompt_list) |
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return new_prompt |
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dreamlike_photoreal_2_0 = gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0") |
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dreamlike_image = gr.Image(label="Dreamlike Photoreal 2.0") |
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tab_actions.append(dreamlike_image) |
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tab_titles.append("Dreamlike_2.0") |
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thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0' _blank><font style='color:blue;weight:bold;'>dreamlike-photoreal-2.0</font></a>]" |
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for space_id in space_ids.keys(): |
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print(space_id, space_ids[space_id]) |
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try: |
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tab = gr.Interface.load(space_id) |
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tab_actions.append(tab) |
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tab_titles.append(space_ids[space_id]) |
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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>]" |
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except Exception as e: |
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logger.info(f"load_fail__{space_id}_{e}") |
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start_work = """async() => { |
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function isMobile() { |
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try { |
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document.createEvent("TouchEvent"); return true; |
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} catch(e) { |
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return false; |
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} |
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} |
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function getClientHeight() |
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{ |
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var clientHeight=0; |
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if(document.body.clientHeight&&document.documentElement.clientHeight) { |
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var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; |
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} else { |
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var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; |
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} |
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return clientHeight; |
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} |
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function setNativeValue(element, value) { |
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const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set; |
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const prototype = Object.getPrototypeOf(element); |
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const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set; |
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|
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if (valueSetter && valueSetter !== prototypeValueSetter) { |
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prototypeValueSetter.call(element, value); |
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} else { |
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valueSetter.call(element, value); |
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} |
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} |
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window['tab_advanced'] = 0; |
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var gradioEl = document.querySelector('body > gradio-app').shadowRoot; |
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if (!gradioEl) { |
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gradioEl = document.querySelector('body > gradio-app'); |
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} |
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if (typeof window['gradioEl'] === 'undefined') { |
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window['gradioEl'] = gradioEl; |
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tabitems = window['gradioEl'].querySelectorAll('.tabitem'); |
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tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children; |
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for (var i = 0; i < tabitems.length; i++) { |
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if (tabitems_title[i].innerText.indexOf('SD') >= 0) { |
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tabitems[i].childNodes[0].children[0].style.display='none'; |
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for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) { |
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if (j != 1) { |
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tabitems[i].childNodes[0].children[1].children[j].style.display='none'; |
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} |
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} |
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if (tabitems_title[i].innerText.indexOf('SD 1') >= 0) { |
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for (var j = 0; j < 4; j++) { |
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tabitems[i].childNodes[0].children[1].children[3].children[1].children[j].children[2].removeAttribute("disabled"); |
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} |
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} else if (tabitems_title[i].innerText.indexOf('SD 2') >= 0) { |
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tabitems[i].children[0].children[1].children[3].children[0].click(); |
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} |
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} else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) { |
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tabitems[i].children[0].children[0].children[1].style.display='none'; |
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tabitems[i].children[0].children[0].children[0].children[0].children[1].style.display='none'; |
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} else if (tabitems_title[i].innerText.indexOf('Dreamlike') >= 0) { |
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tabitems[i].childNodes[0].children[0].children[1].style.display='none'; |
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} |
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} |
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tab_demo = window['gradioEl'].querySelectorAll('#tab_demo')[0]; |
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tab_demo.style.display = "block"; |
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tab_demo.setAttribute('style', 'height: 100%;'); |
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const page1 = window['gradioEl'].querySelectorAll('#page_1')[0]; |
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const page2 = window['gradioEl'].querySelectorAll('#page_2')[0]; |
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btns_1 = window['gradioEl'].querySelector('#input_col1_row3').children; |
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btns_1_split = 100 / btns_1.length; |
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for (var i = 0; i < btns_1.length; i++) { |
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btns_1[i].setAttribute('style', 'min-width:0px;width:' + btns_1_split + '%;'); |
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} |
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page1.style.display = "none"; |
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page2.style.display = "block"; |
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prompt_work = window['gradioEl'].querySelectorAll('#prompt_work'); |
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for (var i = 0; i < prompt_work.length; i++) { |
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prompt_work[i].style.display='none'; |
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} |
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window['prevPrompt'] = ''; |
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window['doCheckPrompt'] = 0; |
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window['checkPrompt'] = function checkPrompt() { |
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try { |
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prompt_work = window['gradioEl'].querySelectorAll('#prompt_work'); |
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if (prompt_work.length > 0 && prompt_work[0].children.length > 1) { |
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prompt_work[0].children[1].style.display='none'; |
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prompt_work[0].style.display='block'; |
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} |
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text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value; |
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progress_bar = window['gradioEl'].querySelectorAll('.progress-bar'); |
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if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text_value && progress_bar.length == 0) { |
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console.log('_____new prompt___[' + text_value + ']_'); |
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window['doCheckPrompt'] = 1; |
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window['prevPrompt'] = text_value; |
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tabitems = window['gradioEl'].querySelectorAll('.tabitem'); |
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for (var i = 0; i < tabitems.length; i++) { |
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inputText = null; |
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if (tabitems_title[i].innerText.indexOf('SD') >= 0) { |
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text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value; |
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inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('.gr-text-input')[0]; |
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} else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) { |
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text_value = window['gradioEl'].querySelectorAll('#prompt_work_zh')[0].querySelectorAll('textarea')[0].value; |
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inputText = tabitems[i].children[0].children[0].children[1].querySelectorAll('.gr-text-input')[0]; |
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} |
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if (inputText) { |
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setNativeValue(inputText, text_value); |
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inputText.dispatchEvent(new Event('input', { bubbles: true })); |
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} |
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} |
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setTimeout(function() { |
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btns = window['gradioEl'].querySelectorAll('button'); |
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for (var i = 0; i < btns.length; i++) { |
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if (['Generate image','Run', '生成图像(Generate)'].includes(btns[i].innerText)) { |
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btns[i].click(); |
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} |
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} |
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window['doCheckPrompt'] = 0; |
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}, 10); |
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} |
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} catch(e) { |
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} |
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} |
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window['checkPrompt_interval'] = window.setInterval("window.checkPrompt()", 100); |
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} |
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return false; |
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}""" |
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switch_tab_advanced = """async() => { |
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window['tab_advanced'] = 1 - window['tab_advanced']; |
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if (window['tab_advanced']==0) { |
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action = 'none'; |
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} else { |
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action = 'block'; |
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} |
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tabitems = window['gradioEl'].querySelectorAll('.tabitem'); |
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tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children; |
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for (var i = 0; i < tabitems.length; i++) { |
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if (tabitems_title[i].innerText.indexOf('SD') >= 0) { |
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//tabitems[i].childNodes[0].children[1].children[0].style.display=action; |
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//tabitems[i].childNodes[0].children[1].children[4].style.display=action; |
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for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) { |
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if (j != 1) { |
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tabitems[i].childNodes[0].children[1].children[j].style.display=action; |
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} |
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} |
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} else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) { |
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tabitems[i].children[0].children[0].children[1].style.display=action; |
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} |
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} |
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return false; |
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}""" |
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def prompt_extend(prompt, PM): |
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prompt_en = getTextTrans(prompt, source='zh', target='en') |
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if PM == 1: |
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extend_prompt_en = extend_prompt_pipe(prompt_en+',', num_return_sequences=1)[0]["generated_text"] |
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elif PM == 2: |
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extend_prompt_en = extend_prompt_microsoft(prompt_en) |
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elif PM == 3: |
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extend_prompt_en = MagicPrompt(prompt_en) |
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if (prompt != prompt_en): |
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logger.info(f"extend_prompt__1_PM=[{PM}]_") |
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extend_prompt_out = getTextTrans(extend_prompt_en, source='en', target='zh') |
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else: |
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logger.info(f"extend_prompt__2_PM=[{PM}]_") |
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extend_prompt_out = extend_prompt_en |
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return extend_prompt_out |
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def prompt_extend_1(prompt): |
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extend_prompt_out = prompt_extend(prompt, 1) |
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return extend_prompt_out |
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def prompt_extend_2(prompt): |
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extend_prompt_out = prompt_extend(prompt, 2) |
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return extend_prompt_out |
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def prompt_extend_3(prompt): |
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extend_prompt_out = prompt_extend(prompt, 3) |
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return extend_prompt_out |
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def prompt_draw_1(prompt, noise_level): |
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prompt_en = getTextTrans(prompt, source='zh', target='en') |
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if (prompt != prompt_en): |
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logger.info(f"draw_prompt______1__") |
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prompt_zh = prompt |
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else: |
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logger.info(f"draw_prompt______2__") |
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prompt_zh = getTextTrans(prompt, source='en', target='zh') |
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prompt_with_noise = add_random_noise(prompt_en, noise_level) |
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dreamlike_output = dreamlike_photoreal_2_0(prompt_with_noise) |
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return prompt_en, prompt_zh, dreamlike_output |
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def prompt_draw_2(prompt): |
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prompt_en = getTextTrans(prompt, source='zh', target='en') |
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if (prompt != prompt_en): |
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logger.info(f"draw_prompt______1__") |
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prompt_zh = prompt |
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else: |
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logger.info(f"draw_prompt______2__") |
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prompt_zh = getTextTrans(prompt, source='en', target='zh') |
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return prompt_en, prompt_zh |
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with gr.Blocks(title='Text-to-Image') as demo: |
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with gr.Group(elem_id="page_1", visible=True) as page_1: |
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with gr.Box(): |
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with gr.Row(): |
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start_button = gr.Button("Let's GO!", elem_id="start-btn", visible=True) |
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start_button.click(fn=None, inputs=[], outputs=[], _js=start_work) |
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with gr.Group(elem_id="page_2", visible=False) as page_2: |
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with gr.Row(elem_id="prompt_row0"): |
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with gr.Column(id="input_col1"): |
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with gr.Row(elem_id="input_col1_row1"): |
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prompt_input0 = gr.Textbox(lines=2, label="Original prompt", visible=True) |
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with gr.Row(elem_id="input_col1_row2"): |
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prompt_work = gr.Textbox(lines=1, label="prompt_work", elem_id="prompt_work", visible=True) |
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with gr.Row(elem_id="input_col1_row3"): |
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with gr.Column(elem_id="input_col1_row2_col0"): |
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draw_btn_0 = gr.Button(value = "Generate(original)", elem_id="draw-btn-0") |
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if extend_prompt_1: |
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with gr.Column(elem_id="input_col1_row2_col1"): |
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extend_btn_1 = gr.Button(value = "Extend_1",elem_id="extend-btn-1") |
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if extend_prompt_2: |
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with gr.Column(elem_id="input_col1_row2_col2"): |
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extend_btn_2 = gr.Button(value = "Extend_2",elem_id="extend-btn-2") |
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if extend_prompt_3: |
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with gr.Column(elem_id="input_col1_row2_col3"): |
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extend_btn_3 = gr.Button(value = "Extend_3",elem_id="extend-btn-3") |
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with gr.Column(id="input_col2"): |
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prompt_input1 = gr.Textbox(lines=2, label="Extend prompt", visible=True) |
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draw_btn_1 = gr.Button(value = "Generate(extend)", elem_id="draw-btn-1") |
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with gr.Row(elem_id="prompt_row1"): |
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with gr.Column(id="input_col3"): |
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with gr.Row(elem_id="input_col3_row2"): |
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prompt_work_zh = gr.Textbox(lines=1, label="prompt_work_zh", elem_id="prompt_work_zh", visible=False) |
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with gr.Row(elem_id='tab_demo', visible=True).style(height=200): |
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tab_demo = gr.TabbedInterface(tab_actions, tab_titles) |
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if do_dreamlike_photoreal: |
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with gr.Row(): |
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noise_level=gr.Slider(minimum=0.1, maximum=3, step=0.1, label="Dreamlike noise Level: [Higher noise level produces more diverse outputs, while lower noise level produces similar outputs.]") |
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with gr.Row(): |
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switch_tab_advanced_btn = gr.Button(value = "Switch_tab_advanced", elem_id="switch_tab_advanced_btn") |
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switch_tab_advanced_btn.click(fn=None, inputs=[], outputs=[], _js=switch_tab_advanced) |
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with gr.Row(): |
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gr.HTML(f"<p>{thanks_info}</p>") |
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if extend_prompt_1: |
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extend_btn_1.click(fn=prompt_extend_1, inputs=[prompt_input0], outputs=[prompt_input1], api_name="addition") |
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if extend_prompt_2: |
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extend_btn_2.click(fn=prompt_extend_2, inputs=[prompt_input0], outputs=[prompt_input1], api_name="addition") |
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if extend_prompt_3: |
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extend_btn_3.click(fn=prompt_extend_3, inputs=[prompt_input0], outputs=[prompt_input1], api_name="addition") |
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|
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if do_dreamlike_photoreal: |
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draw_btn_0.click(fn=prompt_draw_1, inputs=[prompt_input0, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image], api_name="addition") |
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draw_btn_1.click(fn=prompt_draw_1, inputs=[prompt_input1, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image], api_name="addition") |
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else: |
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draw_btn_0.click(fn=prompt_draw_2, inputs=[prompt_input0], outputs=[prompt_work, prompt_work_zh], api_name="addition") |
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draw_btn_1.click(fn=prompt_draw_2, inputs=[prompt_input1], outputs=[prompt_work, prompt_work_zh], api_name="addition") |
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demo.launch() |
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