NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
Paper • 2311.12229 • Published • 25
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
NeuroPrompts is an interface to Stable Diffusion which automatically optimizes a user’s prompt for improved image aesthetics while maintaining stylistic control according to the user’s preferences. Preprint: arxiv.org/abs/2311.12229
NeuroPrompts was accepted to EACL 2024.
This model is inteded to be used within the NeuroPrompts application.
Please see our GitHub repository for instructions on how to run NeuroPrompts: https://github.com/IntelLabs/multimodal_cognitive_ai/tree/main/Demos/NeuroPrompts
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Intel/NeuroPrompts"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Intel/NeuroPrompts", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'