Скачать с ютуб Step-by-Step Stable Diffusion with Python [LCM, SDXL Turbo, StreamDiffusion, ControlNet, Real-Time] в хорошем качестве

Step-by-Step Stable Diffusion with Python [LCM, SDXL Turbo, StreamDiffusion, ControlNet, Real-Time]

In this step-by-step tutorial for absolute beginners, I will show you how to install everything you need from scratch: create Python environments in MacOS, Windows and Linux, generate real-time stable diffusion images from a webcam, use 3 different methods including Latent Consistency Models (LCMs) with ControlNet, SDXL Turbo, and StreamDiffusion. We will use controlnet, image2image, or essentially image2video in 1 or 2 inference steps (essentially real-time!) We will learn how to create a hack to generate faster with Macbooks that have MPS, computers with CUDA GPUs, and even lower-end computers that only have CPU power! Get ready to generate AI for free without MidJourney without DALL-E and without any third-party website! While Automatic1111 and ComfyUI are amazing programs, in this tutorial, we will learn how to do everything with code – so if you like to hack, then this is FOR YOU – but, even if you are used to Automatic1111 and ComfyUI, this will be a great tutorial to learn how to do things through code! Go crazy with latent diffusion and run with what you learn and build your own projects. All code is FREE and downloadable! *CODE FROM TUTORIAL* https://ko-fi.com/s/b5a1624399 [it's free!] ** WINDOWS CUDA SPECIFIC TUTORIAL (5 MIN TUTORIAL)    • FAST real-time AI videos in 5 minutes...   ** CHAPTERS ** 00:00 - Demo and Overview 00:44 - Automatic1111 and ComfyUI vs Python Code 01:07 - Overview of LCM, SDXL Turbo and StreamDiffusion 01:46 - Get Inspired, Proyector Demo, and Ideas 02:23 - Quick Visual Explanation of Diffusion Models 03:24 - How To Download: GIT LFS, VS Code (or text editor), Python 04:44 - Creating Python Environment for LCM and SDXL Turbo 05:22 - Creating Python Environment for StreamDiffusion 05:42 - Notice requirements.txt 06:00 - Activating the environments and installing requirements.txt 07:28 - Stable Diffusion Models Installation 09:59 - Webcam code overview 14:55 - LCM, Controlnet and SDXL Turbo code overview 24:20 - Running the LCM Demo 26:41 - Running SDXL Turbo Demo 28:26 - Activating StreamDiffusion venv 29:11 - StreamDiffusion code overview 29:29 - StreamDiffusion with CUDA 30:04 - StreamDiffusion MPS hack 31:45 - StreamDiffusion script prep 32:27 - Running StreamDiffusion Demo 1 33:17 - Running StreamDiffusion Demo 2 34:20 - Running StreamDiffusion Demo 2 adding props 35:12 - Running StreamDiffusion Demo 3 35:31 - Running StreamDiffusion Demo 3 adding props 36:06 - BONUS: How To Do More Cool AI *DOWNLOAD LINKS* Git LFS: https://git-lfs.com/ VS Code: https://code.visualstudio.com/Download Install Python 3.11.6 for the LCM and SDXL Turbo Install Python 3.10.11 for streamdiffusion MacOS: https://www.python.org/downloads/macos/ Windows: https://www.python.org/downloads/wind... For Windows, to check which Python versions you have in command prompt: "py -0" ** CREATING ENVIRONMENTS IN WINDOWS ** [Consider changing the directory you install the environments to one that is not in C. Change to different drive with something like “d:” and then “cd (your username)\Documents] For LCM and SDXL Turbo: "py -3.11 -m venv lcm_sdxlturbo_venv" For StreamDiffusion: "py -3.10 -m venv streamdiffusion_venv" To activate: For LCM and SDXL Turbo: "lcm_sdxlturbo_venv\Scripts\activate.bat" For StreamDiffusion: "streamdiffusion_venv\Scripts\activate.bat" **QUICK COMMANDS** Ctrl + c on Mac to quit the program running Ctrl + c on Windows to quit program (if this doesn’t work, try ctrl + pause/break) “ls” to list files on Mac and “dir” to list files on Windows **MODELS** https://huggingface.co/SimianLuo/LCM_... https://huggingface.co/stabilityai/sd... https://huggingface.co/lllyasviel/con... StreamDiffusion: https://github.com/cumulo-autumn/Stre... **BOOK ON HOW TO USE AI FOR HACKERS AND MAKERS** PRE-ORDER DIY AI BOOK by my brothers and me!: https://a.co/d/eDxJXJ0 The book goes into deeper explanations of how latent diffusion works, how to write modular code and how to get it to work smoothly on any system. So pre-order to have a ton of detailed and explained resources for anything AI! Camera to AI with python Realtime image2video Realtime image to video Video to video Single step inference 1 step inference stable diffusion stable diffusion image2image realtime stable diffusion Stable diffusion sdxl turbo Stable diffusion LCM Stable diffusion streamdiffusion Super fast generative ai Huggingface diffusers Stable diffusion controlnet How to animate with diffusers Animatediff control net Animatediff animation Stable Diffusion animation comfyui animation animatediff stable diffusion Controlnet animation how to use animatediff animation with animate diff comfyui how to animate in comfy ui prompt stable diffusion animatediff comfyui video to video animatediff comfyui install animatediff comfyui img2img animatediff vid2vid comfyui DreamShaper Epic Realism comfyui-animatediff-evolved animatediff controlnet animation in comfyui