Designer AI Work Guide 2.0 is an AI design productivity system course built for designers, covering everything from establishing AI design thinking to hands-on tool application, with a comprehensive breakdown of how to use mainstream AI drawing tools such as Midjourney and Stable Diffusion. The course covers MJ registration and operation, prompt systems, text-to-image, image-to-image, style control, inpainting, high-definition restoration, as well as SD model management, ControlNet control, Lora training, and other core skills.

Through real commercial cases such as brand design, IP creation, poster creation, e-commerce visuals, and material extension, it helps designers build AI-assisted design workflows, improve creative output efficiency, and achieve a complete AI design process from idea conception to commercial implementation. The course comes with a complete resource package, including selected Lora models, VAE files, trainers, and other practical resources, enabling designers to quickly integrate AI technology into their daily work and greatly improve design productivity and creative output quality.

After completing this course, designers will master Midjourney prompts and advanced creative techniques, learn Stable Diffusion models, plugins, and workflow setup, be able to independently complete commercial design projects such as brands, posters, and IPs, and master advanced techniques such as ControlNet and Lora training, successfully building an AI-assisted design production system.

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• 1.See the essence, embrace change
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• 2.Registration process and interface introduction
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• 3.Differences between Mj and Niji
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• 4.Text-to-image: prompt syntax and saving templates
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• 5.Image referencing and blending, remix applications, and image-to-text
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• 6.Full suffix command parsing
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• 7.Inpainting, image extension and upscaling, and style training
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• 8.Introduction to Stable Diffusion
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• 9.Detailed Guide to the Stable Diffusion WebUI Interface
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• 10.Comprehensive Analysis of SD Prompt Syntax for Text-to-Image
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• 11.Differences and Applications of Various SD Models
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• 12.Model Download and Efficient Model Management
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• 13.Image-to-Image and Inpainting
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• 14.Detailed Guide to the ControlNet Plugin
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• 15.Detailed Guide to ControlNet Models
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• 16.High-Resolution Repair and Detail Optimization
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• 17.Brand Proposal 1: Logo
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• 18.Brand Proposal 2: IP
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• 19.Brand Proposal 3: Material Extension - IP Effect Images and Three-View Generation
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• 20.Brand Proposal 3: Material Extension - IP Display Poster Composition
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• 21.Material Extension: Ideas for Other Materials
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• 22.Poster Design 1: Scenes
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• 23.Poster Design 2: Products
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• 24.Poster Design 3: People
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• 25.Ultimate Poster Design Solution
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• 26.LORA训练
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• 27.Live Q&A
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