| license: bigscience-openrail-m | |
| datasets: | |
| - ILSVRC/imagenet-1k | |
| # SmallDiT | |
| 复现经典的DiT工作([Scalable Diffusion Models with Transformers](https://arxiv.org/abs/2212.09748))，训练数据为ImageNet. | |
| 代码仓库: `https://github.com/lixiang90/ClassicalModels` | |
| ## vae | |
| `vae.pt`是用于图像压缩的vae模型，把(256,256,3)的图像压缩为(32,32,4)的latents. |