This discord bot is used for collecting the Simulacra Aesthetic Captions dataset, a public domain collection of prompts, AI generated imagery, and human aesthetic feedback for use in training Instruct-like aesthetic models to guide AI generated imagery into better satisfying human preferences. The dataset could also be used to train a prompt generator or recommendation system.
The setup for SimulacraBot is unapologetically janky and I have no plans to make it cleaner.
First we git clone this repository and set up our virtual environment.
git clone --recursive https://github.com/JD-P/simulacrabot
cd simulacrabot/
python3 -m venv env_simulacra
source env_simulacra/bin/activate
Then we pip install our dependencies.
pip3 install nextcord omegaconf resize-right transformers
Next we pip install OpenAI's CLIP reposiitory (already cloned during the recursive clone of this repo).
cd CLIP
pip3 install .
cd ..
We download the YFCC upscaler SimulacraBot uses to upscale its outputs. This upscaler is trained by RiversHaveWings and hasn't been previously released because it typically produces horribly artifacted upscales, often ruining the image it's applied to. It is also somehow better than every other public upscaler I've tried so enjoy the upgrade I guess.
wget https://the-eye.eu/public/AI/models/yfcc_upscaler_2.ckpt
sha256sum yfcc_upscaler_2.ckpt
52a702409d76cd648be55a33de42aab188d676d9bfd23b5ef2ab5a8588c673c0 yfcc_upscaler_2.ckpt
We also download the CompVis latent GLIDE model so we can generate outputs to upscale in the first place.
mkdir -p latent-diffusion/models/ldm/text2img-large/
wget -O latent-diffusion/models/ldm/text2img-large/model.ckpt https://ommer-lab.com/files/latent-diffusion/nitro/txt2img-f8-large/model.ckpt
Now you need to put your discord bot token, list of banned words, and channel whitelist into the filepaths below. You can set up your discord bot here if you're logged in.
nano token.txt
nano banned_words.txt
nano channel_whitelist.txt
Each file is a single entry on each line like so:
my
banned
words
The token file is a single line, while banned_words.txt and channel_whitelist.txt
are multiple lines. In the future this will probably all be replaced with a YAML or JSON
config file.
Then one last thing. We symbolic link some subdirectories rather than try to fight the python import system.
ln -s latent-diffusion/models/ ./models
ln -s latent-diffusion/configs/ ./configs
ln -s latent-diffusion/ldm ./ldm
ln -s taming-transformers/taming ./taming
You should now be able to boot the bot.
python3 simulacra.py
If all goes as planned it should come online in your server after you invite it and download a bunch of stuff the first time it tries to generate an output. After that it should work normally.