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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ArtPrompter
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# [ArtPrompter](https://pearsonkyle.github.io/Art-Prompter/)
A [gpt2](https://huggingface.co/gpt2) powered predictive algorithm 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.
[](https://colab.research.google.com/drive/1HQOtD2LENTeXEaxHUfIhDKUaPIGd6oTR?usp=sharing)
```python
from transformers import pipeline
prompter = pipeline('text-generation',model='pearsonkyle/ArtPrompter', tokenizer='gpt2')
texts = prompter('A portal to a galaxy, view with', max_length=30, num_return_sequences=5)
for i in range(5):
print(texts[i]['generated_text']+'\n')
```
## Intended uses & limitations
Build sick prompts and lots of them.. use it to [make animations](https://colab.research.google.com/drive/1Ooe7c87xGMa9oG5BDrFVzYqJLvnoKcyZ?usp=sharing) or a discord bot that can interact with MidJourney.
[](https://discord.gg/3S8Taqa2Xy)
## 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
~48 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 |