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pearsonkyle
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ArtPrompter

Text Generation
Transformers
PyTorch
gpt2
Generated from Trainer
text-generation-inference
Model card Files
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # [ArtPrompter](https://pearsonkyle.github.io/Art-Prompter/)
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- A [gpt2](https://huggingface.co/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.
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- ```python
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- from transformers import pipeline
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-
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- ai = pipeline('text-generation',model='pearsonkyle/ArtPrompter', tokenizer='gpt2')
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-
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- texts = ai('The', max_length=30, num_return_sequences=5)
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-
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- for i in range(5):
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- print(texts[i]['generated_text']+'\n')
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- ```
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- [![Art Prompter](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1HQOtD2LENTeXEaxHUfIhDKUaPIGd6oTR?usp=sharing)
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  ## Intended uses & limitations
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- Build prompts and generate images on Discord!
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- [![](https://cincydiscord.com/wp-content/uploads/2019/02/CINCYDISCORDJOIN.png)](https://discord.gg/3S8Taqa2Xy)
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- [![](https://pearsonkyle.github.io/Art-Prompter/images/discord_bot.png)](https://discord.gg/3S8Taqa2Xy)
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- ## Examples
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-
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- All text prompts below are generated with our language model
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- - *The entire universe is a simulation,a confessional with a smiling guy fawkes mask, symmetrical, inviting,hyper realistic*
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- - *a pug disguised as a teacher. Setting is a class room*
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- - *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*
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- - *The heart of a galaxy, surrounded by stars, magnetic fields, big bang, cinestill 800T,black background, hyper detail, 8k, black*
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  ## Training procedure
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- ~30 hour of finetune on RTX2080 with 212K unique prompts
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-
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 50
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  ### Framework versions
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  - Transformers 4.25.1
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  - Pytorch 1.13.1
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- - Tokenizers 0.13.2
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # ArtPrompter
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ ## Model description
 
 
 
 
 
 
 
 
 
 
 
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+ More information needed
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  ## Intended uses & limitations
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+ More information needed
 
 
 
 
 
 
 
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+ ## Training and evaluation data
 
 
 
 
 
 
 
 
 
 
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+ More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  - lr_scheduler_type: linear
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  - num_epochs: 50
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+ ### Training results
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  ### Framework versions
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  - Transformers 4.25.1
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  - Pytorch 1.13.1
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+ - Tokenizers 0.13.2