NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
Paper • 2311.12229 • Published • 25
How to use from
SGLangUse 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 "Intel/NeuroPrompts" \
--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": "Intel/NeuroPrompts",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
NeuroPrompts Model Card
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.
The interface of NeuroPrompts in side-by-side comparison mode
Usage
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
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Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Intel/NeuroPrompts" \ --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": "Intel/NeuroPrompts", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'