Training a coding model to paint watercolours with TRL and OpenEnv

Hugging Face researchers have utilized the TRL library and OpenEnv to train a coding model to generate watercolor-style images. This project demonstrates how techniques typically used for language model fine-tuning can be adapted to guide diffusion models toward specific aesthetic outputs. By applying reinforcement learning to stylistic training, the experiment highlights new methods for steering image generation beyond standard text-to-image prompts.