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- # 本地大模型配置文件
- models:
- # VLM模型(用于图片理解和修复)
- qwen2_vl:
- name: "Qwen2.5-VL-72B-Instruct-AWQ"
- api_base: "http://10.192.72.12:9991/v1"
- api_key: "${YUSYS_MULTIMODAL_API_KEY}"
- model_id: "Qwen2.5-VL-72B-Instruct-AWQ"
- type: "vlm"
- default_params:
- temperature: 0.1
- max_tokens: 4096
- timeout: 180
-
- llava:
- name: "LLaVA-v1.6-34B"
- api_base: "http://localhost:11434/v1"
- api_key: ""
- model_id: "llava:34b"
- type: "vlm"
- default_params:
- temperature: 0.1
- max_tokens: 4096
- timeout: 180
- cogvlm:
- name: "CogVLM2-19B"
- api_base: "http://localhost:11434/v1"
- api_key: ""
- model_id: "cogvlm2:19b"
- type: "vlm"
- default_params:
- temperature: 0.1
- max_tokens: 4096
- timeout: 180
- # 图片生成模型
- dashscope_wanx:
- name: "通义万相-风格重绘"
- api_base: "https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation"
- api_key: "${DASHSCOPE_API_KEY}"
- model_id: "wanx-style-repaint-v1"
- type: "image_generation"
- generation_type: "style_repaint" # 风格重绘
- default_params:
- style_index: 6
- timeout: 300
- poll_interval: 5
-
- modelscope_qwen:
- name: "ModelScope-Qwen文生图"
- api_base: "https://api-inference.modelscope.cn/v1/images/generations"
- api_key: "${MODELSCOPE_API_KEY}"
- model_id: "Qwen/Qwen-Image"
- type: "image_generation"
- generation_type: "text_to_image" # 文生图
- default_params:
- timeout: 300
- poll_interval: 5
- dashscope_flux:
- name: "通义万相-FLUX"
- api_base: "https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis"
- api_key: "${DASHSCOPE_API_KEY}"
- model_id: "flux-schnell"
- type: "image_generation"
- generation_type: "text_to_image" # 文生图
- default_params:
- size: "1024*1024"
- timeout: 300
- poll_interval: 5
- # 新增背景生成模型
- dashscope_background:
- name: "通义万相-背景生成"
- api_base: "https://dashscope.aliyuncs.com/api/v1/services/aigc/background-generation/generation/"
- api_key: "${DASHSCOPE_API_KEY}"
- model_id: "wanx-background-generation-v2"
- type: "image_generation"
- generation_type: "background_generation" # 背景生成
- default_params:
- model_version: "v3"
- n: 1
- timeout: 300
- poll_interval: 5
- # 提示词模板
- prompts:
- # 原有的VLM提示词...
- photo_analysis:
- name: "照片分析"
- type: "vlm"
- template: |
- 请仔细观察这张照片,分析以下内容:
- 1. 照片的拍摄环境和背景
- 2. 人物的外貌特征和着装
- 3. 照片的拍摄时间推测(基于服装、环境等)
- 4. 照片的保存状况(是否有破损、褪色等)
- 5. 照片的历史价值和意义
-
- 请用中文详细描述,分条列出分析结果。
- # 图片生成提示词
- photo_style_repaint:
- name: "照片风格重绘"
- type: "image_generation"
- compatible_models: ["dashscope_wanx"]
- template: |
- 对输入的照片进行风格重绘,保持人物特征和基本构图,应用指定的艺术风格。
- 风格选项:0=复古漫画, 1=3D童话, 2=二次元, 3=小清新, 4=未来科技, 5=国画古风, 6=油画质感
- text_to_image_simple:
- name: "简单文生图"
- type: "image_generation"
- compatible_models: ["modelscope_qwen", "dashscope_flux"]
- template: |
- 根据文本描述生成高质量图片。请提供详细的场景描述、人物特征、光线效果和艺术风格要求。
- photo_restoration:
- name: "AI照片修复"
- type: "image_generation"
- compatible_models: ["dashscope_wanx"]
- template: |
- 修复老旧照片:去除折痕、划痕、污渍,提升清晰度,保持原有人物特征。
- {prompt}
- # 新增背景生成提示词
- background_classroom:
- name: "教室背景生成"
- type: "image_generation"
- compatible_models: ["dashscope_background"]
- template: |
- 1980年代中国大学教室场景:后方是深绿色黑板,略有粉笔痕迹,前方是深褐色木质课桌,教室光线明亮柔和,营造温馨的学习氛围
-
- background_landscape:
- name: "风景背景生成"
- type: "image_generation"
- compatible_models: ["dashscope_background"]
- template: |
- {prompt}
-
- background_studio:
- name: "影棚背景生成"
- type: "image_generation"
- compatible_models: ["dashscope_background"]
- template: |
- 专业摄影影棚背景,柔和灯光,纯色或渐变背景,适合人像摄影
- # 预设风格配置
- style_presets:
- dashscope_styles:
- - {index: 0, name: "复古漫画", description: "复古漫画风格,线条清晰,色彩饱和"}
- - {index: 1, name: "3D童话", description: "3D童话风格,梦幻可爱,立体感强"}
- - {index: 2, name: "二次元", description: "二次元动漫风格,日式插画感"}
- - {index: 3, name: "小清新", description: "小清新风格,色彩柔和,清新自然"}
- - {index: 4, name: "未来科技", description: "未来科技风格,金属质感,科幻氛围"}
- - {index: 5, name: "国画古风", description: "中国风水墨画风格,古典雅致"}
- - {index: 6, name: "油画质感", description: "油画质感,色彩丰富,艺术感强"}
- # 默认配置
- default:
- vlm_model: "qwen2_vl"
- image_gen_model: "dashscope_wanx"
- prompt: "photo_analysis"
- style_index: -1 # -1表示使用使用自定义风格, 0-6表示使用对应风格
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