RandomPrompt-v1
A fine tuned GPT-neo 125M
The purpose of this model is to autocomplete or generate danbooru-like prompts for generating images in Stable Diffusion derivatives that use danbooru tags for text conditioning.
Usage
THE HOSTED INTERFACE DOES NOT WORK, USE THE HUGGINGFACE SPACE
Autocompletion
Type in a few tags, and it will generate a completion of the prompt
Generation
Type in nothing, and it will generate a prompt
Training
Trained on 400k tags from danbooru posts for 600k steps, or around 0.25 epochs
https://wandb.ai/saltacc/RandomPrompt/runs/2v2arf0u?workspace=user-saltacc
I plan on doing further runs on better hardware to try to get more accurate prompt completion
- Downloads last month
- 8
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "saltacc/RandomPrompt-v1"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "saltacc/RandomPrompt-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'