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What is this?
A huge, continuously updated collection of tutorial videos by Dr. Furkan Gozukara covering Stable Diffusion, SDXL, FLUX, SD3, LoRA training, DreamBooth, ControlNet, deepfakes, TTS, animation and more, with links to full YouTube walkthroughs for each topic.
A huge, continuously updated collection of tutorial videos by Dr. Furkan Gozukara covering Stable Diffusion, SDXL, FLUX, SD3, LoRA training, DreamBooth, ControlNet, deepfakes, TTS, animation and more, with links to full YouTube walkthroughs for each topic.Is this a tool I install, or just a list of guides?It's a curated index of tutorial videos and guides, not software itself; each entry links out to a YouTube video covering a specific AI image/video generation workflow.
It's a curated index of tutorial videos and guides, not software itself; each entry links out to a YouTube video covering a specific AI image/video generation workflow.How is the list organized so I can find what I need?Entries are laid out as a numbered table of tutorial titles (80+ and growing), each linking to its corresponding YouTube video, roughly ordered from beginner install guides to advanced topics like SDXL, FLUX and video animation.
Entries are laid out as a numbered table of tutorial titles (80+ and growing), each linking to its corresponding YouTube video, roughly ordered from beginner install guides to advanced topics like SDXL, FLUX and video animation.Where should a beginner start?Start with tutorial #1 on installing Python, setting up a virtual environment and Git, then #2 on installing Automatic1111 Web UI with the open-source auto-installer, before moving into DreamBooth/LoRA training videos.
Start with tutorial #1 on installing Python, setting up a virtual environment and Git, then #2 on installing Automatic1111 Web UI with the open-source auto-installer, before moving into DreamBooth/LoRA training videos.Does each tutorial work locally, or do I need cloud/GPU access?Many tutorials cover multiple environments for the same workflow — local PC install, Google Colab, Kaggle (no GPU needed), RunPod and Massed Compute — so you can pick based on your own hardware.
Many tutorials cover multiple environments for the same workflow — local PC install, Google Colab, Kaggle (no GPU needed), RunPod and Massed Compute — so you can pick based on your own hardware.Are these entries actively maintained and up to date?Yes, the author states he actively keeps the list updated with new tutorials as techniques evolve (e.g. FLUX, SD3, SwarmUI), though he notes he's sometimes finding time to add new ideas.
Yes, the author states he actively keeps the list updated with new tutorials as techniques evolve (e.g. FLUX, SD3, SwarmUI), though he notes he's sometimes finding time to add new ideas.Why are the videos described as 'longer' than typical tutorials?The author is a professor by profession and says he deliberately does not skip important parts, which makes his tutorial videos more thorough but longer than average.
The author is a professor by profession and says he deliberately does not skip important parts, which makes his tutorial videos more thorough but longer than average.Is there a community around this project?Yes, there's a SECourses YouTube channel (48,000+ subscribers), a Patreon (25,000+ supporters) and a Discord server (10,000+ members) linked from the repo for discussion and support.
Yes, there's a SECourses YouTube channel (48,000+ subscribers), a Patreon (25,000+ supporters) and a Discord server (10,000+ members) linked from the repo for discussion and support.What kind of topics beyond basic Stable Diffusion are covered?Beyond core Stable Diffusion/SDXL/FLUX tutorials, the list covers DreamBooth and LoRA fine-tuning, ControlNet, deepfakes (Roop, ROPE), virtual try-on (IDM-VTON), image upscaling (SUPIR), talking avatars (V-Express, LivePortrait), and TensorRT inference speedups.
Beyond core Stable Diffusion/SDXL/FLUX tutorials, the list covers DreamBooth and LoRA fine-tuning, ControlNet, deepfakes (Roop, ROPE), virtual try-on (IDM-VTON), image upscaling (SUPIR), talking avatars (V-Express, LivePortrait), and TensorRT inference speedups.Who should use this repo?It's aimed at AI image/video generation enthusiasts and developers, from complete beginners needing step-by-step installer guides to advanced users wanting LoRA/DreamBooth fine-tuning and cloud GPU workflows.
It's aimed at AI image/video generation enthusiasts and developers, from complete beginners needing step-by-step installer guides to advanced users wanting LoRA/DreamBooth fine-tuning and cloud GPU workflows.What are similar projects?stable-diffusion-webui-colab, stable-diffusion.cpp, PhotoMaker, Wan2.1, krita-ai-diffusion, InstantID, awesome-ai-painting, Open-Generative-AI
stable-diffusion-webui-colab, stable-diffusion.cpp, PhotoMaker, Wan2.1, krita-ai-diffusion, InstantID, awesome-ai-painting, Open-Generative-AIWhich topics is it in?how-to, guides, controlnet, ai-art, tutorials, coding, comfyui, stable-diffusion, jupyter-notebook, text-to-video, text-to-image, tts
how-to, guides, controlnet, ai-art, tutorials, coding, comfyui, stable-diffusion, jupyter-notebook, text-to-video, text-to-image, tts