import numpy as np import gradio as gr import paddlehub as hub model = hub.Module(name='ernie_vilg') language_translation_model = hub.Module(name='baidu_translate') language_recognition_model = hub.Module(name='baidu_language_recognition') style_list = ['古风', '油画', '水彩', '卡通', '二次元', '浮世绘', '蒸汽波艺术', 'low poly', '像素风格', '概念艺术', '未来主义', '赛博朋克', '写实风格', '洛丽塔风格', '巴洛克风格', '超现实主义', '探索无限'] resolution_list = ['1024*1024', '1024*1536', '1536*1024'] tips = {"en": "Tips: The input text will be translated into Chinese for generation", "jp": "ヒント: 入力テキストは生成のために中国語に翻訳されます", "kor": "힌트: 입력 텍스트는 생성을 위해 중국어로 번역됩니다"} count = 0 def translate_language(text_prompts): global count try: count += 1 tips_text = None language_code = language_recognition_model.recognize(text_prompts) if language_code != 'zh': text_prompts = language_translation_model.translate(text_prompts, language_code, 'zh') except Exception as e: error_text = str(e) return {status_text:error_text, language_tips_text:gr.update(visible=False)} if language_code in tips: tips_text = tips[language_code] else: tips_text = tips['en'] if language_code == 'zh': return {language_tips_text:gr.update(visible=False), translated_language:text_prompts, trigger_component: gr.update(value=count, visible=False)} else: return {language_tips_text:gr.update(visible=True, value=tips_text), translated_language:text_prompts, trigger_component: gr.update(value=count, visible=False)} def inference(text_prompts, style_indx, resolution_indx): try: style = style_list[style_indx] resolution = style_list[resolution_indx] results = model.generate_image( text_prompts=text_prompts, style=style, resolution=resolution, visualization=False) except Exception as e: error_text = str(e) return {status_text:error_text, gallery:None} return {status_text:'Success', gallery:results[:6]} title="ERNIE-ViLG" description="ERNIE-ViLG model, which supports text-to-image task." css = """ .gradio-container { font-family: 'IBM Plex Sans', sans-serif; } .gr-button { color: white; border-color: black; background: black; } input[type='range'] { accent-color: black; } .dark input[type='range'] { accent-color: #dfdfdf; } .container { max-width: 730px; margin: auto; padding-top: 1.5rem; } #gallery { min-height: 22rem; margin-bottom: 15px; margin-left: auto; margin-right: auto; border-bottom-right-radius: .5rem !important; border-bottom-left-radius: .5rem !important; } #gallery>div>.h-full { min-height: 20rem; } .details:hover { text-decoration: underline; } .gr-button { white-space: nowrap; } .gr-button:focus { border-color: rgb(147 197 253 / var(--tw-border-opacity)); outline: none; box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); --tw-border-opacity: 1; --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); --tw-ring-opacity: .5; } .footer { margin-bottom: 45px; margin-top: 35px; text-align: center; border-bottom: 1px solid #e5e5e5; } .footer>p { font-size: .8rem; display: inline-block; padding: 0 10px; transform: translateY(10px); background: white; } .dark .footer { border-color: #303030; } .dark .footer>p { background: #0b0f19; } .prompt h4{ margin: 1.25em 0 .25em 0; font-weight: bold; font-size: 115%; } """ block = gr.Blocks(css=css) examples = [ [ '戴着眼镜的猫', '油画(Oil painting)' ], [ 'A cat with glasses', '油画(Oil painting)' ], [ '眼鏡をかけた猫', '油画(Oil painting)' ], [ '안경을 쓴 고양이', '油画(Oil painting)' ], [ '日落时的城市天际线,史前遗迹风格', '油画(Oil painting)' ], [ '一只猫坐在椅子上,戴着一副墨镜, low poly 风格', '卡通(Cartoon)' ], [ 'A cat sitting on a chair, wearing a pair of sunglasses, low poly style', '油画(Oil painting)' ], [ '猫が椅子に座ってサングラスをかけている、low polyスタイル', '油画(Oil painting)' ], [ '고양이 한 마리가 의자에 앉아 선글라스를 끼고 low poly 스타일을 하고 있다', '油画(Oil painting)' ], [ '一只猫坐在椅子上,戴着一副墨镜,秋天风格', '探索无限(Explore infinity)' ], [ '蒙娜丽莎,赛博朋克,宝丽来,33毫米,蒸汽波艺术', '探索无限(Explore infinity)' ], [ '一只猫坐在椅子上,戴着一副墨镜,海盗风格', '探索无限(Explore infinity)' ], [ '一条由闪电制成的令人敬畏的龙,概念艺术', '探索无限(Explore infinity)' ], [ 'An awesome dragon made of lightning, conceptual art', '油画(Oil painting)' ], [ '稲妻で作られた畏敬の念を抱かせる竜、コンセプトアート', '油画(Oil painting)' ], [ '번개로 만든 경외스러운 용, 개념 예술', '油画(Oil painting)' ], [ '梵高猫头鹰,蒸汽波艺术', '探索无限(Explore infinity)' ], [ '萨尔瓦多·达利描绘古代文明的超现实主义梦幻油画,写实风格', '探索无限(Explore infinity)' ], [ '夕阳日落时,阳光落在云层上,海面波涛汹涌,风景,胶片感', '探索无限(Explore infinity)' ], [ 'Sunset, the sun falls on the clouds, the sea is rough, the scenery is filmy', '油画(Oil painting)' ], [ '夕日が沈むと、雲の上に太陽の光が落ち、海面は波が荒く、風景、フィルム感', '油画(Oil painting)' ], [ '석양이 질 때 햇빛이 구름 위에 떨어지고, 해수면의 파도가 용솟음치며, 풍경, 필름감', '油画(Oil painting)' ], ] with block: gr.HTML( """
""" ) 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="Enter your prompt, multiple languages are supported now.", ).style( border=(True, False, True, True), rounded=(True, False, False, True), container=False, ) btn = gr.Button("Generate image").style( margin=False, rounded=(False, True, True, False), ) language_tips_text = gr.Textbox(label="language tips", show_label=False, visible=False, max_lines=1) styles = gr.Dropdown(label="风格(style)", choices=['古风(Ancient Style)', '油画(Oil painting)', '水彩(Watercolor)', '卡通(Cartoon)', '二次元(Anime)', '浮世绘(Ukiyoe)', '蒸汽波艺术(Vaporwave)', 'low poly', '像素风格(Pixel Style)', '概念艺术(Conceptual Art)', '未来主义(Futurism)', '赛博朋克(Cyberpunk)', '写实风格(Realistic style)', '洛丽塔风格(Lolita style)', '巴洛克风格(Baroque style)', '超现实主义(Surrealism)', '探索无限(Explore infinity)'], value='探索无限(Explore infinity)', type="index") resolutions = gr.Dropdown(label="分辨率(resolution)", choices=resolution_list, value='1024*1024', type="index") gallery = gr.Gallery( label="Generated images", show_label=False, elem_id="gallery" ).style(grid=[2, 3], height="auto") status_text = gr.Textbox( label="处理状态(Process status)", show_label=True, max_lines=1, interactive=False ) trigger_component = gr.Textbox(vaule="", visible=False) # This component is used for triggering inference funtion. translated_language = gr.Textbox(vaule="", visible=False) ex = gr.Examples(examples=examples, fn=translate_language, inputs=[text], outputs=[language_tips_text, status_text, trigger_component, translated_language], cache_examples=False) ex.dataset.headers = [""] text.submit(translate_language, inputs=[text], outputs=[language_tips_text, status_text, trigger_component, translated_language]) btn.click(translate_language, inputs=[text], outputs=[language_tips_text, status_text, trigger_component, translated_language]) trigger_component.change(fn=inference, inputs=[translated_language, styles, resolutions], outputs=[status_text, gallery]) gr.HTML( """