readme: ---
  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. Simply start a prompt and let the algorithm suggest ways to finish it.
  
  ![](https://huggingface.co/pearsonkyle/ArtPrompter/resolve/main/starry_night.gif)
  
  [![Art Prompter Basic](https://colab.research.google.com/assets/colab-badge.svg)](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://pearsonkyle.github.io/Art-Prompter/images/discord_bot.png)](https://discord.gg/3S8Taqa2Xy)
  
  
  ## Examples
  
  - *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