├── LICENSE ├── config.json ├── image └── 图片在这里.txt ├── input.docx ├── scripts ├── step1_extract_keywords.py ├── step2_txt_to_image_high.py ├── step2_txt_to_image_low.py ├── step3_txt_to_voice.py ├── step3_txt_to_voice_free.py └── step4_output_video.py ├── temp └── 分镜视频在这里.txt ├── txt └── txt.xlsx ├── video └── 视频在这里.txt ├── voice └── 配音在这里.txt ├── 设置Key-管理员模式打开.bat ├── 运行文字处理.bat ├── 运行绘图 - 低显存.bat ├── 运行绘图.bat ├── 运行视频合成.bat ├── 运行配音 - 付费.bat └── 运行配音 - 免费.bat /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /config.json: -------------------------------------------------------------------------------- 1 | { 2 | "角色名": "瑞奇", 3 | "特征": "25岁黑色短发的男性", 4 | 5 | "角色名2": "", 6 | "特征2": "", 7 | 8 | "角色名3": "", 9 | "特征3": "", 10 | 11 | "角色名4": "", 12 | "特征4": "", 13 | 14 | "角色名5": "", 15 | "特征5": "", 16 | 17 | "角色名6": "", 18 | "特征6": "", 19 | 20 | "角色名7": "", 21 | "特征7": "", 22 | 23 | "角色名8": "", 24 | "特征8": "", 25 | 26 | "角色名9": "男子", 27 | "特征9": "100岁的面容枯槁的男性老人", 28 | 29 | "角色名10": "主人", 30 | "特征10": "30岁年轻富有的棕色长发男子", 31 | 32 | "//": "下面这行控制语句分割的长短，数字越小句子越短（数值可以为0，则完全按照标点符号进行分句）", 33 | "句子最小长度限制": 50, 34 | 35 | "//": "下面这行自定义ChatGPT的引导词用于产生Stable Diffusion的Prompt", 36 | "引导词": "Task: I will tell you the theme of the prompt to generate in natural language, and your task is to imagine a complete picture based on this theme, then transform it into a detailed, high-quality prompt, so that Stable Diffusion can generate high-quality images. Prompt concept: A prompt is used to describe images, composed of common, often used words, using English half-width ',' as a separator. Each word or phrase separated by ',' is known as a tag. So a prompt consists of a series of tags separated by ','. Below, I will explain the steps to generate a prompt, where the prompt can be used to describe characters, scenery, objects or abstract digital art drawings. Prompt requirements: The prompt should contain elements such as the main subject of the image, texture, additional details, image quality, artistic style, color tone, lighting, etc. Attention, the prompt you output cannot be split into sections, for example, descriptions like 'medium:','Main subject:','Keywords:','Prompt:','texture:','additional details:','image quality:','artistic style:','color tone:','lighting:','tags:' are not needed and it cannot contain ':' or '.'! Main subject: Briefly describe the main subject of the picture in English, such as 'A girl in a garden'. This encapsulates the core content of the image (the subject can be people, things, objects, landscapes). This part is generated based on the theme I give you each time. You can add more reasonable details related to the theme. For character themes, you must describe the character's eyes, nose, and lips, for example 'beautiful detailed eyes, beautiful detailed lips, extremely detailed eyes and face, long eyelashes', to avoid Stable Diffusion randomly generating deformed facial features, this is very important. The theme I provide is:", 37 | 38 | "//": "下面这行填写云端Stable Diffusion的IP地址", 39 | "cloud_address": "", 40 | 41 | "//": "下面这行填写通用正面提示词（包括时代背景、漫画风格、整体氛围等）和Lora，格式与WebUI一致", 42 | "more_details": ",modern society,American comics style,Shadowy and ominous style,HDR,4K", 43 | 44 | "//": "下面填写绘图参数", 45 | "data": { 46 | "//": "高分辨率放大，true=启用，false=关闭", 47 | "enable_hr": true, 48 | "//": "重绘幅度", 49 | "denoising_strength": 0.4, 50 | "//": "图片宽度", 51 | "firstphase_width": 960, 52 | "//": "图片高度", 53 | "firstphase_height": 540, 54 | "//": "图片高分辨率放大倍数", 55 | "hr_scale": 2, 56 | "//": "高分辨率放大渲染器", 57 | "hr_upscaler": "R-ESRGAN 4x+ Anime6B", 58 | "//": "高分辨率放大迭代次数", 59 | "hr_second_pass_steps": 10, 60 | "//": "绘图渲染器", 61 | "sampler_name": "DPM adaptive", 62 | "//": "绘图数量", 63 | "batch_size": 1, 64 | "//": "绘图迭代次数", 65 | "steps": 150, 66 | "//": "引导词关联性", 67 | "cfg_scale": 7, 68 | "//": "面部修复，true=启用，false=关闭", 69 | "restore_faces": false, 70 | "//": "负面提示词", 71 | "negative_prompt": "badhandv4,ng_deepnegative_v1_64t,worst quality,low quality,normal quality,lowers,monochrome,grayscales,skin spots,acnes,skin blemishes,age spot,6 more fingers on one hand,deformity,bad legs,error legs,bad feet,malformed limbs,extra limbs,ugly,poorly drawn hands,poorly drawn feet,poorly drawn face,text,mutilated,extra fingers,mutated hands,mutation,bad anatomy,cloned face,disfigured,fused fingers" 72 | }, 73 | 74 | 75 | "//": "以下为免费edge_tts配音参数", 76 | "//": "配音人", 77 | "voice": "zh-CN-XiaoxiaoNeural", 78 | 79 | "//": "语速", 80 | "rate": "+30%", 81 | 82 | "//": "声调", 83 | "volume": "+0%", 84 | 85 | 86 | "//": "以下为收费微软TTS配音参数，官方参数具体查询：https://learn.microsoft.com/zh-cn/azure/cognitive-services/speech-service/language-support?tabs=tts", 87 | "//": "密钥", 88 | "subscription": "", 89 | 90 | "//": "服务器区域", 91 | "region": "eastasia", 92 | 93 | "//": "配音人", 94 | "voice_name": "zh-CN-YunyeNeural", 95 | 96 | "//": "风格", 97 | "style": "embarrassed", 98 | 99 | "//": "角色", 100 | "role": "OlderAdultMale", 101 | 102 | "//": "语速", 103 | "prosody_rate": "+0%", 104 | 105 | "//": "声调", 106 | "prosody_pitch": "+0st", 107 | 108 | "//": "音量", 109 | "prosody_volume": "+0%", 110 | 111 | "//": "强调程度", 112 | "emphasis_level": "none", 113 | 114 | "//": "风格程度", 115 | "style_degree": "1", 116 | 117 | 118 | "//": "视频帧数", 119 | "fps": 60, 120 | 121 | "//": "毛玻璃边框，true=启用，false=关闭", 122 | "enlarge_background": true, 123 | 124 | "//": "图片切换特效，true=启用，false=关闭", 125 | "enable_effect": true, 126 | 127 | "//": "图片切换特效样式，fade=淡入淡出,slide=滑动, rotate=旋转, scroll=滚动, flip_horizontal=水平翻转, flip_vertical=垂直翻转", 128 | "effect_type": "fade" 129 | } 130 | -------------------------------------------------------------------------------- /image/图片在这里.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/image/图片在这里.txt -------------------------------------------------------------------------------- /input.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/input.docx -------------------------------------------------------------------------------- /scripts/step1_extract_keywords.py: -------------------------------------------------------------------------------- 1 | import os 2 | import openpyxl 3 | import spacy 4 | import openai 5 | import time 6 | import json 7 | import chardet 8 | from docx import Document 9 | from concurrent.futures import ThreadPoolExecutor, as_completed 10 | from tqdm import tqdm 11 | 12 | openai.api_key = os.getenv('OPENAI_API_KEY') 13 | nlp = spacy.load('zh_core_web_sm') 14 | 15 | def load_config(): 16 | current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 17 | config_file = os.path.join(current_dir, 'config.json') 18 | 19 | 20 | with open(config_file, 'rb') as f: 21 | encoding = chardet.detect(f.read())['encoding'] 22 | 23 | with open(config_file, 'r', encoding=encoding) as f: 24 | return json.load(f) 25 | 26 | def replace_keywords(sentence, keyword_dict): 27 | original_sentence = sentence 28 | for key, value in keyword_dict.items(): 29 | sentence = sentence.replace(key, value) 30 | return sentence, original_sentence 31 | 32 | def merge_short_sentences(sentences, min_length): 33 | merged_sentences = [] 34 | buffer_sentence = "" 35 | 36 | for sentence in sentences: 37 | sentence = sentence.strip() 38 | if len(buffer_sentence + sentence) < min_length: 39 | buffer_sentence += " " + sentence if buffer_sentence else sentence 40 | else: 41 | if buffer_sentence: 42 | merged_sentences.append(buffer_sentence) 43 | buffer_sentence = sentence 44 | 45 | if buffer_sentence: 46 | merged_sentences.append(buffer_sentence) 47 | 48 | return merged_sentences 49 | 50 | def request_with_retry(messages, max_tokens=500, max_requests=90, cooldown_seconds=60): 51 | while True: 52 | try: 53 | response = openai.ChatCompletion.create( 54 | model="gpt-3.5-turbo-16k", #这里同样需要改为你本地部署的大语言模型名称 55 | messages=messages, 56 | max_tokens=max_tokens, 57 | n=1, 58 | stop=None, 59 | #api_base="http://127.0.0.1:8000",如果需要使用本地部署的大语言模型，自行修改这行的参数 60 | ) 61 | return response['choices'][0]['message']['content'].strip() 62 | except openai.error.RateLimitError: 63 | print("超过速率限制。正在等待冷却时间...") 64 | time.sleep(cooldown_seconds) 65 | except Exception as e: 66 | print(f"发生错误：{str(e)}") 67 | time.sleep(10) 68 | 69 | def translate_to_english(text): 70 | messages = [ 71 | {"role": "system", "content": "You are a helpful assistant."}, 72 | {"role": "user", "content": f"Translate the following text into English: \"{text}\". Do not directly translate, but instead translate from a third-person descriptive perspective, and complete the missing subject, predicate, object, attributive, adverbial, and complement in the text. Besides the translated result, do not include any irrelevant content or explanations in your response."}, 73 | ] 74 | return request_with_retry(messages) 75 | 76 | def translate_to_storyboard(text, trigger): 77 | messages = [ 78 | {"role": "system", "content": "StableDiffusion is a deep learning text-to-image model that supports the generation of new images using keywords to describe the elements to be included or omitted. Now, as a professional StableDiffusion AI drawing keyword generator. You can assist me in generating keywords for my desired image."}, 79 | {"role": "user", "content": f"{trigger}'{text}'"}, 80 | ] 81 | 82 | return request_with_retry(messages) 83 | 84 | def read_docx(file_path): 85 | return [paragraph.text for paragraph in Document(file_path).paragraphs if paragraph.text.strip()] 86 | 87 | def process_text_sentences(workbook, input_file_path, output_file_path, trigger, keyword_dict, min_sentence_length): 88 | try: 89 | paragraphs = read_docx(input_file_path) 90 | except ValueError as e: 91 | print(f"发生错误：{str(e)}") 92 | return 93 | 94 | sentences = [] 95 | for paragraph in paragraphs: 96 | sentences.extend([sent.text for sent in nlp(paragraph).sents]) 97 | 98 | sentences = merge_short_sentences(sentences, min_sentence_length) 99 | 100 | original_sentences_dict = {} 101 | sheet = workbook.active 102 | for idx, sentence in enumerate(sentences, 1): 103 | replaced_sentence, original_sentence = replace_keywords(sentence, keyword_dict) 104 | original_sentences_dict[replaced_sentence] = original_sentence 105 | sheet.cell(row=idx, column=1, value=replaced_sentence) 106 | sheet.cell(row=idx, column=4, value=original_sentence) 107 | 108 | replaced_sentences = list(original_sentences_dict.keys()) 109 | 110 | max_workers = min(len(replaced_sentences), 1) 111 | 112 | with ThreadPoolExecutor(max_workers=max_workers) as executor: 113 | futures_translation = {executor.submit(translate_to_english, sentence.strip()): idx for idx, sentence in enumerate(replaced_sentences, 1)} 114 | futures_storyboard = {} 115 | 116 | for future in tqdm(as_completed(futures_translation), total=len(futures_translation), desc='正在翻译文本'): 117 | idx = futures_translation[future] 118 | translated_text = future.result() 119 | sheet.cell(row=idx, column=2, value=translated_text) 120 | futures_storyboard[executor.submit(translate_to_storyboard, translated_text, trigger)] = idx 121 | 122 | for future in tqdm(as_completed(futures_storyboard), total=len(futures_storyboard), desc='正在生成分镜脚本'): 123 | idx = futures_storyboard[future] 124 | storyboard_text = future.result() 125 | sheet.cell(row=idx, column=3, value=storyboard_text) 126 | 127 | workbook.save(output_file_path) 128 | 129 | 130 | def main(): 131 | config = load_config() 132 | print("软件作者：西装革律") 133 | print("禁止倒卖，违者必究！") 134 | print("交流群：797579852") 135 | role_name = config.get('角色名', '未指定角色名') 136 | feature = config.get('特征', '未指定特征') 137 | role2_name = config.get('角色名2', '未指定角色名2') 138 | feature2 = config.get('特征2', '未指定特征2') 139 | role3_name = config.get('角色名3', '未指定角色名3') 140 | feature3 = config.get('特征3', '未指定特征3') 141 | role4_name = config.get('角色名4', '未指定角色名4') 142 | feature4 = config.get('特征4', '未指定特征4') 143 | role5_name = config.get('角色名5', '未指定角色名5') 144 | feature5 = config.get('特征5', '未指定特征5') 145 | role6_name = config.get('角色名6', '未指定角色名6') 146 | feature6 = config.get('特征6', '未指定特征6') 147 | role7_name = config.get('角色名7', '未指定角色名7') 148 | feature7 = config.get('特征7', '未指定特征7') 149 | role8_name = config.get('角色名8', '未指定角色名8') 150 | feature8 = config.get('特征8', '未指定特征8') 151 | role9_name = config.get('角色名9', '未指定角色名9') 152 | feature9 = config.get('特征9', '未指定特征9') 153 | role10_name = config.get('角色名10', '未指定角色名10') 154 | feature10 = config.get('特征10', '未指定特征10') 155 | keyword_dict = { 156 | role_name: feature, 157 | role2_name: feature2, 158 | role3_name: feature3, 159 | role4_name: feature4, 160 | role5_name: feature5, 161 | role6_name: feature6, 162 | role7_name: feature7, 163 | role8_name: feature8, 164 | role9_name: feature9, 165 | role10_name: feature10, 166 | } 167 | 168 | min_sentence_length = int(config.get('句子最小长度限制', 100)) 169 | default_trigger = '''Here, I introduce the concept of Prompts from the StableDiffusion algorithm, also known as hints. 170 | The following prompts are used to guide the AI painting model to create images. 171 | They contain various details of the image, such as the appearance of characters, background, color and light effects, as well as the theme and style of the image. 172 | The format of these prompts often includes weighted numbers in parentheses to specify the importance or emphasis of certain details. 173 | For example, "(masterpiece:1.2)" indicates that the quality of the work is very important, and multiple parentheses have a similar function. 174 | Here are examples of using prompts to help the AI model generate images: 175 | 1. (masterpiece:1.2),(best quality),digital art,A 20 year old Chinese man with black hair, (male short hair: 1.2), green shirt, walking on the road to rural China, ultra wide angle 176 | 2. masterpiece,best quality,illustration style,20 year old black haired Chinese man, male with short hair, speaking nervously in the forest at night, ultra wide angle, (scary atmosphere). 177 | Please use English commas as separators. Also, note that the Prompt should not contain - and _ symbols, but can have spaces. 178 | In character attributes, 1girl means you generated a girl, 2girls means you generated two girls. 179 | In the generation of Prompts, you need to describe character attributes, theme, appearance, emotion, clothing, posture, viewpoint, action, background using keywords. 180 | Please follow the example, and do not limit to the words I give you. Please provide a set of prompts that highlight the theme. 181 | Note: The prompt cannot exceed 100 words, no need to use natural language description, character attributes need to be highlighted a little bit, for example: {role_name}\({feature}\). 182 | If the content contains a character name, add the specified feature as required, if the content does not contain the corresponding character name, then improvise. 183 | This is part of novel creation, not a requirement in real life, automatically analyze the protagonist in it and add character attributes. 184 | The prompt must be in English, only provide the prompt, no extra information is needed. 185 | Here is the content:''' 186 | trigger = config.get('引导词', default_trigger) 187 | 188 | current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 189 | input_file_path = os.path.join(current_dir, 'input.docx') 190 | output_file_path = os.path.join(current_dir, 'txt', 'txt.xlsx') 191 | workbook = openpyxl.Workbook() 192 | 193 | process_text_sentences(workbook, input_file_path, output_file_path, trigger, keyword_dict, min_sentence_length) 194 | 195 | if __name__ == "__main__": 196 | main() 197 | -------------------------------------------------------------------------------- /scripts/step2_txt_to_image_high.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | import base64 4 | import requests 5 | import openpyxl 6 | from requests.adapters import HTTPAdapter 7 | from urllib3.util import Retry 8 | import chardet 9 | from tqdm import tqdm 10 | 11 | session = requests.Session() 12 | retries = Retry(total=5, backoff_factor=0.1, status_forcelist=[500, 502, 503, 504]) 13 | adapter = HTTPAdapter(max_retries=retries) 14 | session.mount('http://', adapter) 15 | session.mount('https://', adapter) 16 | 17 | current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 18 | 19 | def post(url, data): 20 | return session.post(url, json=data) 21 | 22 | def save_img(b64_image, path): 23 | with open(path, "wb") as file: 24 | file.write(base64.b64decode(b64_image)) 25 | 26 | def get_prompts(path): 27 | prompts_file = os.path.join(current_dir, path) 28 | wb = openpyxl.load_workbook(prompts_file) 29 | sheet = wb.active 30 | prompts = [cell.value for cell in sheet['C'] if cell.value] 31 | wb.close() 32 | return prompts 33 | 34 | def get_cloud_address(): 35 | config_file = os.path.join(current_dir, 'config.json') 36 | cloud_address = None 37 | more_details = None 38 | data = None 39 | 40 | if os.path.exists(config_file): 41 | with open(config_file, 'rb') as f: 42 | raw_data = f.read() 43 | detected_encoding = chardet.detect(raw_data)['encoding'] 44 | with open(config_file, 'r', encoding=detected_encoding) as f: 45 | config = json.load(f) 46 | cloud_address = config.get('cloud_address') 47 | more_details = config.get('more_details') 48 | data = config.get('data') 49 | 50 | if not cloud_address: 51 | cloud_address = None 52 | if more_details is None: 53 | more_details = {} 54 | if data is None: 55 | data = {} 56 | 57 | return cloud_address, more_details, data 58 | 59 | def run_program(cloud_address, prompts_to_redraw=None, data=None): 60 | fixed_data = { 61 | "alwayson_scripts": { 62 | "ADetailer": { 63 | "args": [ 64 | {"ad_model": "face_yolov8n.pt"}, 65 | {"ad_model": "hand_yolov8n.pt"} 66 | ] 67 | } 68 | } 69 | } 70 | 71 | if data: 72 | fixed_data.update(data) 73 | 74 | url = cloud_address.rstrip('/') + '/sdapi/v1/txt2img' if cloud_address else "" 75 | 76 | if not url: 77 | print("未提供云端Stable Diffusion地址") 78 | return 79 | 80 | prompts = get_prompts(os.path.join('txt', 'txt.xlsx')) 81 | 82 | image_dir = os.path.join(current_dir, 'image') 83 | os.makedirs(image_dir, exist_ok=True) 84 | 85 | prompts_to_process = list(enumerate(prompts)) 86 | if prompts_to_redraw is not None: 87 | prompts_to_process = [(i, prompt) for i, prompt in prompts_to_process if i in prompts_to_redraw] 88 | 89 | total_images = len(prompts_to_process) 90 | existing_files = set(os.listdir(image_dir)) 91 | 92 | for i, prompt_b in tqdm(prompts_to_process, desc='绘图进度', unit='image'): 93 | prompt = f"{prompt_b},{more_details}" 94 | 95 | output_file = f'output_{i+1}.png' 96 | if output_file in existing_files and prompts_to_redraw is None: 97 | continue 98 | fixed_data["prompt"] = prompt 99 | response = post(url, fixed_data) 100 | if response.status_code == 200: 101 | save_img(response.json()['images'][0], os.path.join(image_dir, output_file)) 102 | temp_dir = os.path.join(current_dir, 'temp') 103 | os.makedirs(temp_dir, exist_ok=True) 104 | with open(os.path.join(temp_dir, 'params.json'), 'a') as f: 105 | json.dump({output_file: fixed_data}, f) 106 | f.write('\n') 107 | else: 108 | print(f'错误：{response.status_code}') 109 | 110 | if not prompt_b: 111 | break 112 | 113 | if __name__ == '__main__': 114 | print("软件作者：西装革律") 115 | print("禁止倒卖，违者必究！") 116 | print("交流群：797579852") 117 | 118 | cloud_address, more_details, data = get_cloud_address() 119 | 120 | if cloud_address is None: 121 | cloud_address = "http://127.0.0.1:7860" 122 | print("使用本地Stable Diffusion") 123 | else: 124 | print("使用云端Stable Diffusion") 125 | 126 | print("Stable Diffusion正在绘图，请稍后...") 127 | run_program(cloud_address, data=data) 128 | print("Stable Diffusion绘图完成，请检查图片，不想踩缝纫机就赶紧把小黄图删了~") 129 | 130 | while True: 131 | user_input = input("请输入需要重绘的图片对应的数字（多个数字用空格隔开，输入N退出程序）: ") 132 | if user_input == "N": 133 | break 134 | 135 | file_numbers_to_redraw = [] 136 | for s in user_input.split(): 137 | try: 138 | file_number = int(s.strip()) - 1 139 | file_name = f"output_{file_number+1}.png" 140 | file_path = os.path.join('image', file_name) 141 | 142 | if os.path.exists(os.path.join(current_dir, file_path)): 143 | file_numbers_to_redraw.append(file_number) 144 | os.remove(os.path.join(current_dir, file_path)) 145 | print(f"重绘图片: {file_name}") 146 | else: 147 | print(f"无效图片: {file_name}") 148 | except ValueError: 149 | print(f"无效输入: {s.strip()}，跳过") 150 | 151 | if file_numbers_to_redraw: 152 | print("Stable Diffusion正在重绘，请稍后...") 153 | run_program(cloud_address, prompts_to_redraw=file_numbers_to_redraw, data=data) 154 | print("Stable Diffusion重绘完成，请检查图片，你确定还不删小黄图么？") 155 | else: 156 | print("没有需要重绘的图片") 157 | -------------------------------------------------------------------------------- /scripts/step2_txt_to_image_low.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | import base64 4 | import requests 5 | import openpyxl 6 | from requests.adapters import HTTPAdapter 7 | from urllib3.util import Retry 8 | import chardet 9 | from tqdm import tqdm 10 | 11 | session = requests.Session() 12 | retries = Retry(total=5, backoff_factor=0.1, status_forcelist=[500, 502, 503, 504]) 13 | adapter = HTTPAdapter(max_retries=retries) 14 | session.mount('http://', adapter) 15 | session.mount('https://', adapter) 16 | 17 | current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 18 | 19 | 20 | def post(url, data): 21 | return session.post(url, json=data) 22 | 23 | 24 | def save_img(b64_image, path): 25 | with open(path, "wb") as file: 26 | file.write(base64.b64decode(b64_image)) 27 | 28 | 29 | def get_prompts(path): 30 | prompts_file = os.path.join(current_dir, path) 31 | wb = openpyxl.load_workbook(prompts_file) 32 | sheet = wb.active 33 | prompts = [cell.value for cell in sheet['C'] if cell.value] 34 | wb.close() 35 | return prompts 36 | 37 | def get_cloud_address(): 38 | config_file = os.path.join(current_dir, 'config.json') 39 | cloud_address = None 40 | more_details = None 41 | data = None 42 | 43 | if os.path.exists(config_file): 44 | with open(config_file, 'rb') as f: 45 | raw_data = f.read() 46 | detected_encoding = chardet.detect(raw_data)['encoding'] 47 | with open(config_file, 'r', encoding=detected_encoding) as f: 48 | config = json.load(f) 49 | cloud_address = config.get('cloud_address') 50 | more_details = config.get('more_details') 51 | data = config.get('data') 52 | 53 | if not cloud_address: 54 | cloud_address = None 55 | if more_details is None: 56 | more_details = {} 57 | if data is None: 58 | data = {} 59 | 60 | return cloud_address, more_details, data 61 | 62 | def run_program(cloud_address, prompts_to_redraw=None, data=None): 63 | fixed_data = { 64 | "alwayson_scripts": { 65 | "ADetailer": { 66 | "args": [ 67 | {"ad_model": "face_yolov8n.pt"}, 68 | {"ad_model": "hand_yolov8n.pt"} 69 | ] 70 | }, 71 | "Tiled Diffusion": { 72 | "args": [ 73 | { 74 | "method": "Mixture of Diffusers", 75 | "tile_width": 96, 76 | "tile_height": 96, 77 | "overlap": 48, 78 | "tile_batch_size": 4, 79 | } 80 | ] 81 | }, 82 | "Tiled VAE": { 83 | "args": [ 84 | { 85 | "enabled": True, 86 | "encoder_tile_size": 960, 87 | "decoder_tile_size": 80, 88 | "vae_to_gpu": True, 89 | "fast_decoder": True, 90 | "fast_encoder": True, 91 | "color_fix": False 92 | } 93 | ] 94 | } 95 | } 96 | } 97 | 98 | if data: 99 | fixed_data.update(data) 100 | 101 | url = cloud_address.rstrip('/') + '/sdapi/v1/txt2img' if cloud_address else "" 102 | 103 | if not url: 104 | print("未提供云端Stable Diffusion地址") 105 | return 106 | 107 | prompts = get_prompts(os.path.join('txt', 'txt.xlsx')) 108 | 109 | image_dir = os.path.join(current_dir, 'image') 110 | os.makedirs(image_dir, exist_ok=True) 111 | 112 | prompts_to_process = list(enumerate(prompts)) 113 | if prompts_to_redraw is not None: 114 | prompts_to_process = [(i, prompt) for i, prompt in prompts_to_process if i in prompts_to_redraw] 115 | 116 | total_images = len(prompts_to_process) 117 | existing_files = set(os.listdir(image_dir)) 118 | 119 | for i, prompt_b in tqdm(prompts_to_process, desc='绘图进度', unit='image'): 120 | prompt = f"{prompt_b},{more_details}" 121 | 122 | output_file = f'output_{i+1}.png' 123 | if output_file in existing_files and prompts_to_redraw is None: 124 | continue 125 | fixed_data["prompt"] = prompt 126 | response = post(url, fixed_data) 127 | if response.status_code == 200: 128 | save_img(response.json()['images'][0], os.path.join(image_dir, output_file)) 129 | temp_dir = os.path.join(current_dir, 'temp') 130 | os.makedirs(temp_dir, exist_ok=True) 131 | with open(os.path.join(temp_dir, 'params.json'), 'a') as f: 132 | json.dump({output_file: fixed_data}, f) 133 | f.write('\n') 134 | else: 135 | print(f'错误：{response.status_code}') 136 | 137 | if not prompt_b: 138 | break 139 | 140 | if __name__ == '__main__': 141 | print("软件作者：西装革律") 142 | print("禁止倒卖，违者必究！") 143 | print("交流群：797579852") 144 | 145 | cloud_address, more_details, data = get_cloud_address() 146 | 147 | if cloud_address is None: 148 | cloud_address = "http://127.0.0.1:7860" 149 | print("使用本地Stable Diffusion") 150 | else: 151 | print("使用云端Stable Diffusion") 152 | 153 | print("Stable Diffusion正在绘图，请稍后...") 154 | run_program(cloud_address, data=data) 155 | print("Stable Diffusion绘图完成，请检查图片，不想踩缝纫机就赶紧把小黄图删了~") 156 | 157 | while True: 158 | user_input = input("请输入需要重绘的图片对应的数字（多个数字用空格隔开，输入N退出程序）: ") 159 | if user_input == "N": 160 | break 161 | 162 | file_numbers_to_redraw = [] 163 | for s in user_input.split(): 164 | try: 165 | file_number = int(s.strip()) - 1 166 | file_name = f"output_{file_number+1}.png" 167 | file_path = os.path.join('image', file_name) 168 | 169 | if os.path.exists(os.path.join(current_dir, file_path)): 170 | file_numbers_to_redraw.append(file_number) 171 | os.remove(os.path.join(current_dir, file_path)) 172 | print(f"重绘图片: {file_name}") 173 | else: 174 | print(f"无效图片: {file_name}") 175 | except ValueError: 176 | print(f"无效输入: {s.strip()}，跳过") 177 | 178 | if file_numbers_to_redraw: 179 | print("Stable Diffusion正在重绘，请稍后...") 180 | run_program(cloud_address, prompts_to_redraw=file_numbers_to_redraw, data=data) 181 | print("Stable Diffusion重绘完成，请检查图片，你确定还不删小黄图么？") 182 | else: 183 | print("没有需要重绘的图片") 184 | -------------------------------------------------------------------------------- /scripts/step3_txt_to_voice.py: -------------------------------------------------------------------------------- 1 | import os 2 | import openpyxl 3 | import asyncio 4 | from tqdm.asyncio import tqdm as async_tqdm 5 | import argparse 6 | import azure.cognitiveservices.speech as speechsdk 7 | from azure.cognitiveservices.speech import SpeechConfig, SpeechSynthesizer, AudioDataStream, ResultReason 8 | from io import BytesIO 9 | import html 10 | import json 11 | import chardet 12 | 13 | 14 | def load_config(): 15 | script_directory = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 16 | config_file = os.path.join(script_directory, 'config.json') 17 | 18 | with open(config_file, 'rb') as f: 19 | raw_data = f.read() 20 | encoding_result = chardet.detect(raw_data) 21 | encoding = encoding_result['encoding'] 22 | 23 | with open(config_file, 'r', encoding=encoding) as f: 24 | config = json.load(f) 25 | 26 | return config 27 | 28 | config = load_config() 29 | 30 | subscription = config.get('subscription') 31 | region = config.get('region') 32 | voice_name = config.get('voice_name') 33 | style = config.get('style') 34 | role = config.get('role') 35 | prosody_rate = config.get('prosody_rate') 36 | prosody_pitch = config.get('prosody_pitch') 37 | prosody_volume = config.get('prosody_volume') 38 | emphasis_level = config.get('emphasis_level') 39 | style_degree = config.get('style_degree') 40 | 41 | class SpeechProvider: 42 | def __init__(self, config=None): 43 | self._config = config or {} 44 | 45 | async def get_tts_audio(self, message, language, index): 46 | while True: 47 | try: 48 | speech_config = SpeechConfig(subscription=subscription, region=region) 49 | speech_config.speech_synthesis_voice_name = voice_name 50 | synthesizer = SpeechSynthesizer(speech_config=speech_config, audio_config=None) 51 | escaped_message = html.escape(message) 52 | ssml_text = f""" 53 | 54 | 55 | 56 | 57 | {escaped_message} 58 | 59 | 60 | 61 | 62 | """ 63 | loop = asyncio.get_running_loop() 64 | result = await loop.run_in_executor(None, lambda: synthesizer.speak_ssml_async(ssml_text).get()) 65 | if result.reason == ResultReason.SynthesizingAudioCompleted: 66 | audio_data = BytesIO(result.audio_data) 67 | return {"index": index, "audio_data": audio_data, "error": None} 68 | elif result.reason == ResultReason.Canceled: 69 | cancellation_details = speechsdk.SpeechSynthesisCancellationDetails(result) 70 | print(f"序号 {index} 的语音合成出错，错误信息：{str(cancellation_details.reason)} {str(cancellation_details.error_details)}，正在进行下一次尝试...") 71 | except Exception as e: 72 | print(f"序号 {index} 的语音合成出错，错误信息：{str(e)}，正在进行下一次尝试...") 73 | 74 | async def process_text_files(input_file, output_dir, language): 75 | print("软件作者：西装革律") 76 | print("禁止倒卖，违者必究！") 77 | print("交流群：797579852") 78 | 79 | wb = openpyxl.load_workbook(input_file) 80 | sheet = wb.active 81 | column = sheet["D"] 82 | provider = SpeechProvider() 83 | tasks = [provider.get_tts_audio(cell.value, language, i) for i, cell in enumerate(column, 1)] 84 | results = [] 85 | for f in async_tqdm(asyncio.as_completed(tasks), total=len(tasks), desc="正在合成配音"): 86 | result = await f 87 | audio_data = result['audio_data'] 88 | output_path = os.path.join(script_directory, output_dir, f"output_{result['index']}.wav") 89 | with open(output_path, 'wb') as f: 90 | f.write(audio_data.getbuffer()) 91 | results.append(result) 92 | return results 93 | 94 | parser = argparse.ArgumentParser(description='文本转语音转换器') 95 | parser.add_argument('--input_file', type=str, default="txt/txt.xlsx", help='输入文本文件的路径') 96 | parser.add_argument('--output_dir', type=str, default="voice", help='输出目录的路径') 97 | parser.add_argument('--language', type=str, default="zh-CN", help='文本的语言') 98 | 99 | args = parser.parse_args() 100 | 101 | script_directory = os.path.dirname(os.path.abspath(__file__)) 102 | 103 | args.input_file = os.path.join(script_directory, '..', args.input_file.replace('/', '\\')) 104 | args.output_dir = os.path.join(script_directory, '..', args.output_dir) 105 | 106 | asyncio.run(process_text_files(args.input_file, args.output_dir, args.language)) 107 | -------------------------------------------------------------------------------- /scripts/step3_txt_to_voice_free.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | import openpyxl 4 | import asyncio 5 | from tqdm import tqdm 6 | import argparse 7 | import aiofiles 8 | import edge_tts 9 | import edge_tts.exceptions 10 | import chardet 11 | 12 | def get_encoding(file_path): 13 | with open(file_path, 'rb') as f: 14 | return chardet.detect(f.read())['encoding'] 15 | 16 | class SpeechProvider: 17 | def __init__(self, config_file): 18 | encoding = get_encoding(config_file) 19 | with open(config_file, 'r', encoding=encoding) as f: 20 | self._config = json.load(f) 21 | 22 | async def async_get_tts_audio(self, message, language): 23 | voice = self._config.get('voice') 24 | if voice is None: 25 | return None, None 26 | 27 | wav = b'' 28 | service_data = { 29 | "voice": voice, 30 | "rate": self._config.get('rate'), 31 | "volume": self._config.get('volume') 32 | } 33 | 34 | tts = edge_tts.Communicate(message, **service_data) 35 | try: 36 | async for chunk in tts.stream(): 37 | if chunk["type"] == "audio": 38 | wav += chunk["data"] 39 | except edge_tts.exceptions.NoAudioReceived: 40 | return None, None 41 | 42 | return 'wav', wav 43 | 44 | async def convert_text_to_audio(text, language, output_path, row_index, config_file): 45 | if not text: 46 | return False 47 | 48 | provider = SpeechProvider(config_file) 49 | attempt = 0 50 | wait_time = 1 51 | 52 | while True: 53 | try: 54 | audio_format, audio_data = await provider.async_get_tts_audio(text, language) 55 | if audio_data is not None: 56 | wav_file_path = os.path.join(output_path, f"output_{row_index}.wav") 57 | 58 | async with aiofiles.open(wav_file_path, "wb") as f: 59 | await f.write(audio_data) 60 | 61 | if not os.path.exists(wav_file_path) or os.path.getsize(wav_file_path) == 0: 62 | raise Exception(f"音频文件生成失败或文件大小为0: {wav_file_path}") 63 | 64 | return True 65 | except Exception as e: 66 | print(f"尝试 {attempt + 1} 失败，原因：{str(e)}。将在 {wait_time} 秒后重试。") 67 | await asyncio.sleep(wait_time) 68 | attempt += 1 69 | wait_time *= 2 70 | except edge_tts.exceptions.RateLimitException: 71 | print("超过速率限制。将在 60 秒后重试。") 72 | await asyncio.sleep(60) 73 | return False 74 | 75 | async def process_text_files(input_file, output_dir, language, config_file): 76 | print("软件作者：西装革律") 77 | print("禁止倒卖，违者必究！") 78 | print("交流群：797579852") 79 | 80 | wb = openpyxl.load_workbook(input_file) 81 | sheet = wb.active 82 | column = sheet["D"] 83 | tasks = [] 84 | row_index = 1 85 | 86 | for cell in column: 87 | text = cell.value 88 | if text: 89 | tasks.append(asyncio.create_task(convert_text_to_audio(text, language, output_dir, row_index, config_file))) 90 | row_index += 1 91 | 92 | progress_bar = tqdm(desc="正在生成配音音频", total=len(tasks), unit="files") 93 | 94 | while tasks: 95 | done, tasks = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) 96 | for task in done: 97 | try: 98 | if task.result(): 99 | progress_bar.update(1) 100 | except edge_tts.exceptions.EdgeTTSException as e: 101 | progress_bar.write(f"发生错误：{str(e)}") 102 | progress_bar.close() 103 | 104 | parser = argparse.ArgumentParser(description='Text to Speech Converter') 105 | script_dir = os.path.dirname(os.path.realpath(__file__)) 106 | 107 | default_input_file = os.path.join(script_dir, "..", "txt", "txt.xlsx") 108 | default_output_dir = os.path.join(script_dir, "..", "voice") 109 | 110 | default_config_file = os.path.join(script_dir, "..", "config.json") 111 | 112 | parser.add_argument('--input_file', type=str, default=default_input_file, help='输入文本文件的路径') 113 | parser.add_argument('--output_dir', type=str, default=default_output_dir, help='输出目录的路径') 114 | parser.add_argument('--config_file', type=str, default=default_config_file, help='配置文件的路径') 115 | 116 | parser.add_argument('--language', type=str, default="zh-CN", help='文本的语言') 117 | 118 | args = parser.parse_args() 119 | provider = SpeechProvider(args.config_file) 120 | 121 | asyncio.run(process_text_files(args.input_file, args.output_dir, args.language, args.config_file)) 122 | -------------------------------------------------------------------------------- /scripts/step4_output_video.py: -------------------------------------------------------------------------------- 1 | import os 2 | import gc 3 | import random 4 | from concurrent.futures import ThreadPoolExecutor 5 | from PIL import Image, ImageFilter 6 | from moviepy.editor import ( 7 | ImageSequenceClip, 8 | AudioFileClip, 9 | CompositeVideoClip, 10 | concatenate_videoclips, 11 | VideoFileClip, 12 | vfx 13 | ) 14 | import json 15 | from datetime import datetime 16 | import chardet 17 | import concurrent.futures 18 | from tqdm import tqdm 19 | import numpy as np 20 | 21 | def get_config(): 22 | config_file = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'config.json') 23 | 24 | with open(config_file, 'rb') as f: 25 | encoding_result = chardet.detect(raw_data := f.read()) 26 | encoding = encoding_result['encoding'] 27 | 28 | return json.loads(raw_data.decode(encoding)) 29 | 30 | def transform_image(img, t, x_speed, y_speed, move_on_x, move_positive): 31 | original_size = img.size 32 | 33 | crop_width = img.width * 0.8 34 | crop_height = img.height * 0.8 35 | if move_on_x: 36 | left = min(x_speed * t, img.width - crop_width) if move_positive else max(img.width - crop_width - x_speed * t, 0) 37 | upper = (img.height - crop_height) / 2 38 | else: 39 | upper = min(y_speed * t, img.height - crop_height) if move_positive else max(img.height - crop_height - y_speed * t, 0) 40 | left = (img.width - crop_width) / 2 41 | 42 | right = left + crop_width 43 | lower = upper + crop_height 44 | 45 | cropped_img = img.crop((left, upper, right, lower)) 46 | 47 | return cropped_img.resize(original_size) 48 | 49 | print("软件作者：西装革律") 50 | print("禁止倒卖，违者必究！") 51 | print("交流群：797579852") 52 | 53 | current_dir = os.path.dirname(os.path.abspath(__file__)) 54 | parent_dir = os.path.dirname(current_dir) 55 | 56 | config = get_config() 57 | 58 | image_dir = os.path.join(parent_dir, 'image') 59 | voice_dir = os.path.join(parent_dir, 'voice') 60 | video_dir = os.path.join(parent_dir, 'video') 61 | temp_dir = os.path.join(parent_dir, 'temp') 62 | 63 | os.makedirs(temp_dir, exist_ok=True) 64 | 65 | total_files = len(os.listdir(image_dir)) 66 | fps = config['fps'] 67 | enlarge_background = config['enlarge_background'] 68 | enable_effect = config['enable_effect'] 69 | effect_type = config['effect_type'] 70 | 71 | extensions = ['.png', '.jpg', '.jpeg'] 72 | for i in tqdm(range(total_files), ncols=None, desc="正在生成视频"): 73 | filename = f'output_{i+1}' 74 | audio_filename = f'output_{i+1}' 75 | temp_filename = os.path.join(temp_dir, f'output_{i+1}.mp4') 76 | 77 | for ext in extensions: 78 | try: 79 | im = Image.open(os.path.join(image_dir, filename + ext)) 80 | break 81 | except FileNotFoundError: 82 | continue 83 | 84 | audio = AudioFileClip(os.path.join(voice_dir, audio_filename + '.wav')) 85 | 86 | effect_type = random.choice([0, 1]) 87 | 88 | if effect_type == 0: 89 | x_speed = (im.width - im.width * 0.8) / audio.duration 90 | y_speed = 0 91 | move_on_x = True 92 | move_positive = random.choice([True, False]) 93 | elif effect_type == 1: 94 | x_speed = 0 95 | y_speed = (im.height - im.height * 0.8) / audio.duration 96 | move_on_x = False 97 | move_positive = random.choice([True, False]) 98 | 99 | n_frames = int(fps * audio.duration) 100 | frames_foreground = [np.array(transform_image(im, t / fps, x_speed, y_speed, move_on_x, move_positive)) for t in range(n_frames)] 101 | img_foreground = ImageSequenceClip(frames_foreground, fps=fps) 102 | 103 | img_blur = im.filter(ImageFilter.GaussianBlur(radius=30)) 104 | if enlarge_background: 105 | img_blur = img_blur.resize((int(im.width * 1.1), int(im.height * 1.1)), Image.ANTIALIAS) 106 | 107 | frames_background = [np.array(img_blur)] * n_frames 108 | img_background = ImageSequenceClip(frames_background, fps=fps) 109 | 110 | img_foreground = img_foreground.set_audio(audio) 111 | 112 | final_clip = CompositeVideoClip([img_background.set_position("center"), img_foreground.set_position("center")], size=img_blur.size) 113 | 114 | final_clip = { 115 | 'fade': final_clip.fadein(1).fadeout(1), 116 | 'slide': final_clip.crossfadein(1).crossfadeout(1), 117 | 'rotate': final_clip.rotate(lambda t: 360*t/10), 118 | 'scroll': final_clip.fx(vfx.scroll, y_speed=50), 119 | 'flip_horizontal': final_clip.fx(vfx.mirror_x), 120 | 'flip_vertical': final_clip.fx(vfx.mirror_y) 121 | }.get(effect_type, final_clip) 122 | 123 | 124 | final_clip.write_videofile(temp_filename) 125 | gc.collect() 126 | 127 | temp_filenames = [os.path.join(temp_dir, f'output_{i+1}.mp4') for i in range(total_files)] 128 | temp_filenames.sort(key=lambda x: int(x.split('_')[-1].split('.')[0])) 129 | final_video = concatenate_videoclips([VideoFileClip(filename) for filename in temp_filenames], method="compose") 130 | final_video.write_videofile(os.path.join(video_dir, f'output_{datetime.now().strftime("%Y%m%d%H%M%S")}.mp4')) 131 | -------------------------------------------------------------------------------- /temp/分镜视频在这里.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/temp/分镜视频在这里.txt -------------------------------------------------------------------------------- /txt/txt.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/txt/txt.xlsx -------------------------------------------------------------------------------- /video/视频在这里.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/video/视频在这里.txt -------------------------------------------------------------------------------- /voice/配音在这里.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangzLoong/Magic-Touch/af5512b94e6afbcc15defff6cd69c6682481ff07/voice/配音在这里.txt -------------------------------------------------------------------------------- /设置Key-管理员模式打开.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | 3 | :START 4 | set /p OPENAI_API_KEY=Please enter your OpenAI API key: 5 | 6 | if not "%OPENAI_API_KEY:~0,3%"=="sk-" ( 7 | echo Error: OpenAI API key must start with "sk-". 8 | goto START 9 | ) 10 | 11 | setx OPENAI_API_KEY %OPENAI_API_KEY% /m 12 | 13 | IF "%OPENAI_API_KEY%"=="" ( 14 | ECHO OpenAI API Key not found in environment variables) ELSE ( 15 | ECHO OpenAI API Key successfully added to environment variables. 16 | ) 17 | 18 | 19 | pause -------------------------------------------------------------------------------- /运行文字处理.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python scripts\step1_extract_keywords.py 4 | pause 5 | -------------------------------------------------------------------------------- /运行绘图 - 低显存.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python.exe scripts\step2_txt_to_image_low.py 4 | pause 5 | -------------------------------------------------------------------------------- /运行绘图.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python.exe scripts\step2_txt_to_image_high.py 4 | pause 5 | -------------------------------------------------------------------------------- /运行视频合成.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python.exe scripts\step4_output_video.py 4 | pause 5 | -------------------------------------------------------------------------------- /运行配音 - 付费.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python.exe scripts\step3_txt_to_voice.py 4 | pause 5 | -------------------------------------------------------------------------------- /运行配音 - 免费.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | cls 3 | python.exe scripts\step3_txt_to_voice_free.py 4 | pause 5 | --------------------------------------------------------------------------------