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This comprehensive course covers every aspect of Stable Diffusion and AI-driven creative workflows. Start with the basics: installing Python, setting up virtual environments, Git, C++, CUDA, FFmpeg, PyTorch, and running Automatic1111 Web UI. Learn the fundamentals of seeds, samplers, CFG scales, batching, face restoration, prompt engineering, and using Civitai, LoRA, and embeddings for advanced model customization.
Progress to DreamBooth, ControlNet, SDXL, and FlUX workflows, including training custom models, text-to-image and text-to-video generation, real-time rendering, iterative upscaling, image-to-image pipelines, ReVision nodes, and style transfer techniques. Discover the power of SwarmUI, ComfyUI, and open-source alternatives for advanced pipelines, GPU optimization, and free cloud-based generation.
The course also explores high-level applications such as AI avatars, deepfake creation, converting sketches to masterpieces, studio-quality photo generation, video animation, 3D mesh creation, and FLUX/Qwen Image pipelines. By the end, students will master Stable Diffusion, SDXL, and modern AI tools to efficiently produce professional-quality images, videos, and 3D models.