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Free Download Master Generative AI for Images With Stable Diffusion & Flux
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 32m | Size: 1.6 GB
Master Stable Diffusion, ControlNet & FLUX. Build AI Interior Design & Virtual Influencer Product Placement projects
What you'll learn
Build a complete AI Interior Design application from an image of an empty room.
Master advanced Stable Diffusion techniques, including inpainting and img2img.
Use ControlNet to guide AI image generation with precise inputs like depth and segmentation.
Generate accurate depth maps from single images using the Depth Anything model.
Create precise object masks using the combination of Grounding DINO and SAM.
Generate hyper-realistic human images ("virtual influencers") with the FLUX model.
Seamlessly insert products into AI-generated images for marketing with InsertAnything.
Understand and use LoRA adapters to efficiently customize generative models.
Integrate multiple generative AI models into a single, powerful pipeline.
Develop two portfolio-ready projects in the booming field of Generative AI.
Optimize generative workflows for both high and low VRAM GPUs.
Requirements
Fundamental Understanding of Machine Learning & Deep Learning
Basic Python Programming Skills
Experience with Jupyter Notebooks or Google Colab
Description
The world is flooded with AI-generated images. We've all seen the viral "astronaut riding a horse" or the surreal landscapes that look like paintings. But a critical question remains: How do we move from creating fun, random images to building practical, commercially-valuable AI solutions?How do you take a photo of a real empty apartment and have an AI furnish it, not just randomly, but in a way that respects the room's unique layout, lighting, and perspective? How do you generate a photorealistic model for a marketing campaign and then seamlessly place your company's product in their hands, matching the lighting and style perfectly?This is the difference between being a user of AI and being a builder of AI systems. This is the skill that separates enthusiasts from professional AI engineers, and it's exactly what this course will teach you.This is your journey from basic prompting to building production-level generative AI pipelines.In this comprehensive, hands-on course, we will dive deep into the world of controlled image generation. You will learn to architect and implement complex workflows that combine multiple state-of-the-art models to achieve precise, predictable, and high-quality results. We will master a cutting-edge technology stack, including Stable Diffusion, ControlNet, the FLUX model, Depth Anything, Grounding DINO, and Segment Anything (SAM) to build two spectacular, portfolio-defining projects.Project 1: The Complete AI Interior DesignerForget generic design tools. You will build an application that can take any photo of an empty room and breathe life into it. We will architect a pipeline that truly understands the space.Step 1: Scene Understanding. First, we'll use the Depth Anything model to generate a precise depth map, giving our AI an understanding of the room's 3D geometry.Step 2: Intelligent Masking. Next, we'll use a powerful combination of Grounding DINO and Segment Anything (SAM) to automatically detect and create masks for key areas like the door, and windows.Step 3: Controlled Generation. Finally, we will feed the original image, the depth map, and the segmentation masks into ControlNet with a Stable Diffusion Inpainting model. This allows us to tell the AI, "Generate a modern sofa here on the floor, respecting the room's depth and leaving the windows untouched." The result is a stunning, realistic, and context-aware interior design.Project 2: The Virtual Influencer & Product Placement EngineYou will create a pipeline capable of generating hyper-realistic virtual influencers and then using them for automated product placement-a game-changer for marketing and e-commerce.Step 1: Hyper-Realistic Human Generation. We will harness the incredible power of the FLUX model, a next-generation text-to-image architecture, to generate unique, lifelike, and royalty-free "influencer" images from simple text descriptions.Step 2: Seamless Product Integration. We will then use the specialized InsertAnything framework. This model allows you to take an image of a product (like a handbag or a coffee cup) and seamlessly insert it into the generated influencer's hands, automatically adjusting for lighting, perspective, and grip.By the end of this course, you will not be someone who just knows about Generative AI. You will be an AI creator, capable of building the next generation of applications in design, marketing, and entertainment. If you are ready to build systems that solve real problems and create tangible value, this is the course for you.Enroll now and start building the future of visual content.
Who this course is for
AI & Machine Learning Engineers
Software Developers
Creative Professionals (Designers, Artists, Architects)
Tech Enthusiasts
Undergrad and Grad Students
Homepage
Code:
https://www.udemy.com/course/master-generative-ai-for-images-with-stable-diffusion-flux/
Code:
RapidGator
https://rg.to/file/1d7d773279754ba267676ae1e7d03b82/nxkbn.Master.Generative.AI.for.Images.With.Stable.Diffusion..Flux.part1.rar.html
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[b]AlfaFile[/b]
https://alfafile.net/file/AFA4g/nxkbn.Master.Generative.AI.for.Images.With.Stable.Diffusion..Flux.part1.rar
https://alfafile.net/file/AFA4L/nxkbn.Master.Generative.AI.for.Images.With.Stable.Diffusion..Flux.part2.rar
FreeDL
https://frdl.io/sosdgn3c0j8t/nxkbn.Master.Generative.AI.for.Images.With.Stable.Diffusion..Flux.part1.rar.html
https://frdl.io/j7jkn34mpdtf/nxkbn.Master.Generative.AI.for.Images.With.Stable.Diffusion..Flux.part2.rar.html