Dreamshaper v7

该数据集是经过微调的稳定扩散模型，被用于训练文本到图像生成的连贯性模型。此外，该数据集还用于测试强化学习连贯性模型（RLCM）相较于扩散模型的表现，重点关注图像质量和推理速度等指标。该任务涉及使用强化学习进行微调的文本到图像生成。

This dataset comprises fine-tuned Stable Diffusion models, which are employed to train coherence models for text-to-image generation. Additionally, this dataset is utilized to evaluate the performance of Reinforcement Learning-based Coherence Models (RLCM) compared to diffusion models, with key metrics including image quality and inference speed. This task involves text-to-image generation fine-tuned via reinforcement learning.