FAST real-time AI videos in 5 minutes! [Python Windows CUDA Tutorial]
In this video tutorial on stable diffusion (with local install of stable diffusion and Python) we are going to learn how to do blazing fast real-time stable diffusion with StreamDiffusion, an LCM (Latent Consistency Model with ControlNet), ControlNet, and SDXL Turbo – this tutorial is designed for people with Windows machines running CUDA GPUs – and this is essentially image2video or webcam2image / webcam2video (although it doesn’t have to be webcam). So if you have a cuda gpu then you’ll be able to run these scripts super easily in this 5 minute tutorial. We will go over how to create Python environments, installing cuda toolkit 12.1, installing torch that is cuda compatible, and tons of other cool neat tricks. Essentially, for the LCM stable diffusion model we will use ControlNet to guide inference with edge detection via the canny algorithm; we will learn how to use SDXL Turbo, via image2image, and StreamDiffusion! A lot of people like to use ComfyUI and Automatic1111 or touchdesigner for these things, but for some of us, we love to code things up ourselves, so if so, this stable diffusion tutorial is for you! No need for MidJourney or DALL-E or RunwayML when you have these scripts and this setup going for you. Everyone is going crazy right now about OpenAI’s Sora, but you can get pretty cool results with real-time generative ai by yourself at your computer!
** STEP BY STEP STABLE DIFFUSION FOR LINUX, MACOS, AND WINDOWS **
[this is the previous longer video]
• Step-by-Step Stable Diffusion with Py...
*CODE FROM TUTORIAL*
https://ko-fi.com/s/b5a1624399
** CHAPTERS **
*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
Windows: https://www.python.org/downloads/wind...
** 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"
**MODELS**
https://huggingface.co/SimianLuo/LCM_...
https://huggingface.co/stabilityai/sd...
https://huggingface.co/lllyasviel/con...
StreamDiffusion: https://github.com/cumulo-autumn/Stre...
** LCM / SDXL TURBO TORCH OVERRIDE **
pip3 install torch==2.1.0 torchvision==0.16.0 xformers --index-url https://download.pytorch.org/whl/cu121
** STREAM DIFFUSION **
(Make sure to follow order of operations from video)
pip3 install torch==2.1.0 torchvision==0.16.0 xformers --index-url https://download.pytorch.org/whl/cu121
pip install git+https://github.com/cumulo-autumn/Stre...[tensorrt]
pip install opencv-python
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Stable diffusion tutorial
StreamDiffusion tutorial
Real-time stable diffusion
Webcam stable diffusion
Single step inference
Super fast generative ai
Cuda gpu stable diffusion
Gpu stable diffusion
Stable diffusion for beginners
Stable diffusion for noobs
Open source generative ai
Complete guide to local stable diffusion
Local stable diffusion install
Easy tutorial for stable diffusion
Ai generated videos
OpenAI Sora
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