Mastering image-to-text prompting is crucial in generative AI, and JoyCaption leads the way! Whether you're training datasets, restoring old photos, or creating new images, this app is the go-to choice.
In this tutorial, we'll guide you through the Python command-line installation and usage of JoyCaption. Learn how to set up your CUDA environment, install essential packages, and effortlessly generate tag and caption files. Along the way, you'll also deepen your understanding of Python and AI systems!
Note: this is for the command line use. If you looking for a graphical user interface check out the links below
Github repo:
https://github.com/fireicewolf/wd-joy-caption-cli
Register for Llama 3.1 here:
https://huggingface.co/meta-llama/Meta-Llama-3.1-8B
CLI Commands used to run:
https://www.cognibuild.ai/joycaption-cli-commands
GUI One-click-installer if you want to get going fast:
https://www.patreon.com/posts/joy-image-image-110729891
LinkedIn: https://www.linkedin.com/in/gjnave
Patreon: https://www.patreon.com/cognibuild
Reddit: https://www.reddit.com/user/Heavy-Organization58/
Website: https://www.cognibuild.ai
Personal Music: www.daysinging.com
Spotify: https://open.spotify.com/artist/0oH5qisu13DpnT7DucnV9d
------ Helpful Video Tutorials -----
VS Build Tools 2019 - Cleanest / Easiest Install Ever: https://youtu.be/TUS4A-XsAPo
Installing Cuda: https://youtu.be/_GpyoEbs3Hs
Installing CuDNN: https://youtu.be/RY2mEbi7PJc
Fresh AI Setup (Windows): https://youtu.be/4aCtOVcvcj4
Installing Miniconda: https://youtu.be/ULAVtKBOKXE
Installing Python: https://youtu.be/1CdeBbk9A2k
Insalling Git: https://youtu.be/xxVOm3ndeSU
Installing WSL: https://youtu.be/3GNqg3GdEKA
Installing Llama.cpp: https://youtu.be/r-05yuXTEPE