License: MIT License
此项目为2023年系科协暑培CV课程作业(虽然不在清华上学但是做做人家的作业也算是上了半个清华)，训练一个 Unconditional Latent Diffusion Model。
此项目基于 DiffusionFastForward 开发，按照原作者指定的 LICENSE 使用，特此鸣谢。
此项目使用AFHQ数据集：在论文StarGAN v2中首次使用的数据集，包含约 15000 张 512*512 的高质量图片，主要是猫猫狗狗等可爱动物头像
花了三十多块在矩池云用2080ti训练了100epoch的checkpoint看着train_loss几乎不降，不敢继续投钱进去了，这钱不如买两杯果茶，试了下生成出来的图像有点轮廓了最终还是没有生成出可爱猫猫:(
8.11： 感觉被矩池云坑了，AutoDL性价比更高些，更便宜的价钱可以上更好的GPU和CPU，不过继续炼了1M看起来还是没什么成效（中间尝试调lr和batchsize感觉有点用，但不多），损失在[0.001,0.2]疯狂波动
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