This video is about letting you know about new work done for implementation of stable diffusion models in plain c++ language. It takes code from ggml, which was already powerful and popular version for LLM models like llama.cpp
This video also explains you step by step process to install stable-diffusion.cpp locally and compile it for your cpu.
Also convert your normal safe tensor or ckpt model into ggml bin format.

After this video you will be able:
1- Run stable-diffusion.cpp locally
2- compile for any operating system.
3- convert any sd 1.x model to ggml format.
4- infer from ggml models
5- perform text2image and image2image.

you can run these models on just 2GB of ram and on cpu.

GitHub repo : https://github.com/leejet/stable-diff...
civit ai realistic model: https://civitai.com/models/4201/reali...

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