From f64979378666bb51822ca2ca6f2bff2e22ae76ec Mon Sep 17 00:00:00 2001 From: yunxiang wei <121092793+yiwangsimple@users.noreply.github.com> Date: Wed, 31 Jul 2024 10:55:32 +0800 Subject: [PATCH] Delete sdprompt_agent.py --- sdprompt_agent.py | 116 ---------------------------------------------- 1 file changed, 116 deletions(-) delete mode 100644 sdprompt_agent.py diff --git a/sdprompt_agent.py b/sdprompt_agent.py deleted file mode 100644 index e186458..0000000 --- a/sdprompt_agent.py +++ /dev/null @@ -1,116 +0,0 @@ -import os -import sys -from groq import Groq - -# 添加父目录到 Python 路径 -parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -if parent_dir not in sys.path: - sys.path.append(parent_dir) - -from api_utils import load_api_key - -class SDPromptAgent: - def __init__(self): - self.client = None - self.load_api_key() - - def load_api_key(self): - api_key = load_api_key('GROQ_API_KEY') - if api_key: - self.client = Groq(api_key=api_key) - else: - print("Error: GROQ_API_KEY not found in api_key.ini") - - @classmethod - def INPUT_TYPES(cls): - return { - "required": { - "model": (["gemma-7b-it", "gemma2-9b-it", "mixtral-8x7b-32768", "llama3-8b-8192", "llama3-70b-8192", "llama3-groq-8b-8192-tool-use-preview", "llama3-groq-70b-8192-tool-use-preview", "llama-3.1-8b-instant", "llama-3.1-70b-versatile"],), - "theme": ("STRING", {"multiline": True}), - "max_tokens": ("INT", {"default": 1000, "min": 1, "max": 32768}), - "temperature": ("FLOAT", {"default": 0.7, "min": 0, "max": 2, "step": 0.1}), - "prompt_type": (["sdxl", "kolors"],), - }, - } - - RETURN_TYPES = ("STRING", "STRING") - RETURN_NAMES = ("positive_prompt", "negative_prompt") - FUNCTION = "generate_sd_prompt" - CATEGORY = "🌙DW/prompt_utils" - - def generate_sd_prompt(self, model, theme, max_tokens, temperature, prompt_type): - if not self.client: - return ("Error: GROQ_API_KEY not set or invalid. Please check your api_key.ini file.", "") - - if prompt_type == "sdxl": - system_message = """你是一位有艺术气息的Stable Diffusion prompt 助理。你的任务是根据给定的主题生成高质量的Stable Diffusion提示词。请严格遵循以下要求: - -1. 输出格式: - - 以"Prompt:"开头的正面提示词 - - 以"Negative Prompt:"开头的负面提示词 - -2. Prompt要求: - - 开头必须包含"(best quality,4k,8k,highres,masterpiece:1.2),ultra-detailed,(realistic,photorealistic,photo-realistic:1.37)" - - 包含画面主体、材质、附加细节、图像质量、艺术风格、色彩色调、灯光等 - - 对于人物主题,必须描述眼睛、鼻子、嘴唵 - - 使用英文半角逗号分隔 - - 不超过40个标签,60个单词 - - 按重要性排序 - -3. Negative Prompt要求: - - 必须包含"nsfw,(low quality,normal quality,worst quality,jpeg artifacts),cropped,monochrome,lowres,low saturation,((watermark)),(white letters)" - - 如果是人物主题,还要包含"skin spots,acnes,skin blemishes,age spot,mutated hands,mutated fingers,deformed,bad anatomy,disfigured,poorly drawn face,extra limb,ugly,poorly drawn hands,missing limb,floating limbs,disconnected limbs,out of focus,long neck,long body,extra fingers,fewer fingers,,(multi nipples),bad hands,signature,username,bad feet,blurry,bad body" - -请直接生成prompt,不要包含任何解释或额外文字。只使用英文,即使主题是中文。""" - else: # prompt_type == "kolors" - system_message = """你是一位熟练的AI艺术生成模型kolors的提示工程师,类似于DALLE-3。你对提示词的复杂性有深入的理解,确保生成的艺术作品符合用户的期望。你的任务是根据给定的主题生成高质量的kolors提示词。请严格遵循以下要求: - -1. 输出格式: - - 直接输出中文提示词,不需要任何标题或前缀 - -2. 提示词要求: - - 使用中文自然语言描述,明确+精简 - - 先把最难生成的部分写在前面(而非主角),然后写必要的元素和细节,接着是背景,然后是风格、颜色等 - - 加入画面场景细节或人物细节,让图像看起来更充实和合理 - - 确保内容与主题相符,画面整体和谐 - -请直接生成prompt,不要包含任何解释或额外文字。不要包含负向提示词。""" - - prompt = f"根据以下主题生成{'Stable Diffusion' if prompt_type == 'sdxl' else 'kolors'}提示词:{theme}" - - try: - chat_completion = self.client.chat.completions.create( - model=model, - messages=[ - {"role": "system", "content": system_message}, - {"role": "user", "content": prompt} - ], - max_tokens=max_tokens, - temperature=temperature - ) - response = chat_completion.choices[0].message.content - - # 分割正面和负面提示词 - if prompt_type == "sdxl": - if "Prompt:" in response and "Negative Prompt:" in response: - parts = response.split("Negative Prompt:") - positive_prompt = parts[0].replace("Prompt:", "").strip() - negative_prompt = parts[1].strip() - else: - positive_prompt = response - negative_prompt = "" - else: # prompt_type == "kolors" - positive_prompt = response.strip() - negative_prompt = "低质量,坏手,水印" - - return (positive_prompt, negative_prompt) - except Exception as e: - return (f"Error: {str(e)}", "") - -NODE_CLASS_MAPPINGS = { - "SDPromptAgent": SDPromptAgent -} - -NODE_DISPLAY_NAME_MAPPINGS = { - "SDPromptAgent": "SD Prompt Agent" -} \ No newline at end of file