AI（stable difusion ControlNet）绘画进阶课程 办公场景 全面提升工作效率

AI（stable difusion ControlNet）绘画进阶课程 办公场景 全面提升工作效率
面向人群

1．兴趣爱好者﹣AI绘画零基础人群

对ai绘画感兴趣，希望有一些绘画技能提升，快速掌握新时代的兴趣爱好，给家人朋友画出不错的艺术作品

2．美术动画摄影从业人员

商业场景，建筑，原画，建模，摄像！数字人，平面设计，ui设计，文案设计等在新时代AI场景商业应用绘画

3创业商家（招商引流）

作为有商品供应链层面，希望ai给产品引流

学完收获

01．熟练运用stable difusion，快速生成高品质设计图稿、B端设计3D图标等02．利用工具智能演算，参考AI草稿的视觉效果，潮流元素及创意方案、

03．广阔的AI设计相关岗位的就业前景，更强的职业竞争力和不可替代性

04．其他设计岗位投递简历及面试加分项

课程目录：

1-权重与关键词工具包

2-关键词使用与深层算法

（底层逻辑）

3-C站使用方法全解析

4-反推图片模型实战

5-ControlNet安装与调用色彩女孩

6-ControlNet与玩偶风格实战

7-玩偶玩法与openpose

8-机甲lora实战与c站调用法

9-图生图与局部重绘

10-4局部修图与商业思维（重要）

11-局部重绘2.0机甲重绘

Target audience 1. Interest enthusiasts - AI painting zero base group interested in AI painting, hoping to improve some painting skills, quickly master new era hobbies, and create good art works for family and friends. 2. Art animation photography practitioners in business scenarios, architecture, original paintings, modeling, and photography! Digital People, Graphic Design, UI Design, Copywriting Design, etc. In the New Era AI Scene Business Application Painting 3 Entrepreneurship Merchants (Investment Attraction) As a product supply chain level, I hope AI can learn and gain from product drainage. 01. Proficient in using stable fusion to quickly generate high-quality design drawings, B-end design 3D icons, etc. 02. Use tools to intelligently calculate, refer to the visual effects, trendy elements, and creative solutions of AI drafts 03. Broad employment prospects for AI design related positions, Stronger professional competitiveness and irreplaceability 04. Curriculum catalog for other design positions: 1- Weighting and keyword toolkit 2- Keyword usage and deep algorithm (underlying logic) Full Analysis of 3-C Station Usage Methods 4- Reverse Image Model Practice 5- ControlNet Installation and Call Color Girl 6- ControlNet and Doll Style Practice 7- Doll Play and Openpose 8- Robot Lora Practice and C-Station Call Method 9- Graph Generation and Local Redrawing 10-4 Local Revision and Business Thinking (Important) 11- Local Redrawing 2.0 Robot Redrawing
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