license: mit
tags:
- generated_from_trainer
model-index:
- name: ArtPrompter
results: []
ArtPrompter
A gpt2 powered predictive keyboard for making descriptive text prompts for A.I. image generators (e.g. MidJourney, Stable Diffusion, ArtBot, etc). The model was trained on a custom dataset containing 521K MidJourney images corresponding to 212K unique prompts.
from transformers import pipeline
ai = pipeline('text-generation',model='pearsonkyle/ArtPrompter', tokenizer='gpt2')
texts = ai('The', max_length=30, num_return_sequences=5)
for i in range(5):
print(texts[i]['generated_text']+'\n')
Intended uses & limitations
Build prompts and generate images on Discord!
Examples
All text prompts below are generated with our language model
The entire universe is a simulation,a confessional with a smiling guy fawkes mask, symmetrical, inviting,hyper realistic
a pug disguised as a teacher. Setting is a class room
I wish I had an angel For one moment of love I wish I had your angel Your Virgin Mary undone Im in love with my desire Burning angelwings to dust
The heart of a galaxy, surrounded by stars, magnetic fields, big bang, cinestill 800T,black background, hyper detail, 8k, black
Training procedure
~30 hour of finetune on RTX2080 with 212K unique prompts
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Tokenizers 0.13.2