Instructions to use pearsonkyle/ArtPrompter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pearsonkyle/ArtPrompter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pearsonkyle/ArtPrompter")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pearsonkyle/ArtPrompter") model = AutoModelForCausalLM.from_pretrained("pearsonkyle/ArtPrompter") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use pearsonkyle/ArtPrompter with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pearsonkyle/ArtPrompter" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pearsonkyle/ArtPrompter", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/pearsonkyle/ArtPrompter
- SGLang
How to use pearsonkyle/ArtPrompter with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "pearsonkyle/ArtPrompter" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pearsonkyle/ArtPrompter", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "pearsonkyle/ArtPrompter" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pearsonkyle/ArtPrompter", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use pearsonkyle/ArtPrompter with Docker Model Runner:
docker model run hf.co/pearsonkyle/ArtPrompter
Commit ·
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README.md
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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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# ArtPrompter
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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 database of over 268K MidJourney images corresponding to 113K unique prompts.
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[](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://discord.gg/3S8Taqa2Xy)
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## Training procedure
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~1 hour of finetuneing on RTX2080 with 113K unique prompts
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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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# [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 database of over 268K MidJourney images corresponding to 113K unique prompts.
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[](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://discord.gg/3S8Taqa2Xy)
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## Examples
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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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~1 hour of finetuneing on RTX2080 with 113K unique prompts
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