AI painting - empowering e-commerce image optimization. Stable Diffusion e-commerce image optimization tutorial, from zero basics to mastery. This course is based on the emerging AICG technology combined with e-commerce application practice, summarizing a brand-new and efficient AI workflow to achieve cost reduction and efficiency improvement, saying goodbye to hiring expensive professional photographers and models, and no longer spending a lot of time on venue setup, lighting, makeup styling, and other tedious work, fully capable of 100% restoring the product. Suitable audience: apparel e-commerce companies, entrepreneurs, photographers/designers/retouchers/related majors students, AI painting technology enthusiasts, etc., beginners can learn.
\Course outline:
\01. Introduction: Reveals the complete logic and practical tactics for growing an account from purely organic traffic in 2023, providing you with the correct learning direction and expectations.
\02. How to install Stable Diffusion webUI: Through simple and easy-to-understand explanations, helping you easily set up the environment needed for the course, so you can quickly get into the learning state.
\03. Understanding the Stable Diffusion webui interface: In-depth understanding of the various functions of the software interface, allowing you to master operating techniques.
\04. Stable Diffusion 1.6 version interface comparison and how to update: Timely understanding of software updates and optimizations, keeping your learning up to date.
\05. Lora model installation and use: Mastering the installation and application techniques of the Lora model, improving the efficiency and quality of image processing.
\06. Introduction to Stable Diffusion models (base model, VAE, Lora): In-depth understanding of Stable Diffusion's core models, providing you with more practical techniques and methods.
\07. How to write AI drawing prompts fluently - it's okay if you don't know English: Through simple and easy-to-understand explanations, helping you overcome language barriers and smoothly master key operating steps.
\08. SD prompt automatic translation plugin Prompt all in one: Introducing the usage of the intelligent translation plugin, making it easier for you to complete tasks.
\09. Stable Diffusion parameters - steps, sampling methods, prompt guidance coefficient: In-depth analysis of Stable Diffusion's various parameters, helping you apply them flexibly in actual operations.
\10. Stable Diffusion random seed number, an option that should not be ignored: Focusing on explaining the role and selection techniques of the random seed number, improving the diversity and quality of image generation.
\11. Introduction to the most important practical value of Stable Diffusion image-to-image: Detailed introduction to the key points of image-to-image technology, allowing you to quickly master and apply it in practice.
\12. Systematic image repair (repair of severe facial defects): Explaining facial repair technology, helping you solve image defects.
\13. Leveraging version image inpainting (upload and repaint): Introducing version image production and application, achieving detailed processing of image essence.
\14. Stable Diffusion 1 production version image: Simplified version image production process, improving image processing efficiency and naturalness.
\15. Company clothing virtual person [person platform] model image replacing real person model case: Through case analysis, showcasing company clothing model image processing techniques and methods.
\16. How to fix ControlNet Openpose editing machine without method from open issues: Solving FAQs, ensuring the software runs smoothly.
\17. Using ControlNet to fix and adjust models: Explaining the usage of the ControlNet tool, allowing you to achieve precise control and adjustment of model images in practice.
\18. Precautions for early-stage person platform model image shooting - hands-on experience sharing: Sharing hands-on experience, helping you avoid common mistakes and issues.
\19. 2 types of e-commerce model images [face swap] direction style: Introducing e-commerce model image face swap techniques, improving image realism and appeal.
\20. Model generation and [close-up back view] 2 types of direction cases: Explaining back view close-up techniques, making images more complete and beautiful.
\21. Clothing image how to match part 1 body model - soldier case: Through practical demonstration, analyzing soldier model image processing steps and techniques.
\22. Clothing image how to match part 1 body model - daughter soldier clothing image case (part 1): Detailed analysis of daughter soldier clothing model image processing methods and techniques.
\23. Clothing image how to match part 1 body model - daughter soldier clothing image case (part 2): In-depth explanation of daughter soldier
\clothing image production steps and precautions.
\24. Using AI image generation tools to create e-commerce images: a simple introduction to the key points and techniques of e-commerce image processing.
\25. StableDiffusion image-to-image style generation for product AI model images: demonstrating the methods and process for generating product AI model images.
\26. Text-to-image style generation for product AI model images: introducing the steps and techniques for text-to-image style generation of product AI model images.
\27. AI image generation with ControlNet control system to generate product AI model images: explaining how to use the ControlNet tool to precisely control product AI model images in practice.
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\32. AI image generation for hand repair 1 - local heavy repair and ControlNet hand repair: explaining local heavy repair and ControlNet hand repair techniques to complete detailed hand repair for beautiful model images.
\33. AI image generation for hand repair 2 - matching PS hand repair: introducing the combined application of AI image generation hand repair and PS hand repair techniques, making the hand repair results more perfect and natural.
\34. Image AI enlargement - background processing direction: exploring and discussing the direction and techniques of image AI enlargement and background processing, improving image clarity and detail.
\35. Image AI enlargement - using Ultimate SD Upscale: introducing how to use Ultimate SD Upscale, putting image high-definition enlargement effects into practice.
\36. Ultimate SD Upscale image high-definition enlargement installation: guiding the installation steps of Ultimate SD Upscale, ensuring accurate and smooth operation.
\37. How to train your own Lora model and prepare training image collection: explaining how to train your own Lora model and properly prepare the image collection data needed for training.
\38. Eye product AI model production demonstration: through demonstration cases, showing the experience and techniques of eye product AI model production.