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+## 🚀 Improved Training Performance
+
+In comparison to the original implementation, we implement a selection of training speed acceleration and memory saving features including gradient checkpointing, mixed precision training, and pre-extracted features, xformers, deepspeed. Some data points using **a batch size of 1 with a A100**:
+
+### 64×32×32 (origin size: 256×256×256)
+
+| gradient checkpointing | mixed precision | xformers | feature pre-extraction | deepspeed config | training speed | memory |
+|:----------------------:|:---------------:|:--------:|:----------------------:|:----------------:|:--------------:|:------------:|
+| ✔ | ✔ | ✔ | ✔ | ❌ |0.64 steps/sec | 43G |
+| ✔ | ✔ | ✔ | ✔ | Zero2 |0.66 steps/sec | 14G |
+| ✔ | ✔ | ✔ | ✔ | Zero2 offload |0.33 steps/sec | 11G |
+
+### 128×64×64 (origin size: 512×512×512)
+
+| gradient checkpointing | mixed precision | xformers | feature pre-extraction | deepspeed config | training speed | memory |
+|:----------------------:|:---------------:|:--------:|:----------------------:|:----------------:|:--------------:|:------------:|
+| ✔ | ✔ | ✔ | ✔ | ❌ |0.08 steps/sec | 77G |
+| ✔ | ✔ | ✔ | ✔ | Zero2 |0.08 steps/sec | 41G |
+| ✔ | ✔ | ✔ | ✔ | Zero2 offload |0.07 steps/sec | 39G |
## 💡 How to Contribute to the Open-Sora Plan Community
We greatly appreciate your contributions to the Open-Sora Plan open-source community and helping us make it even better than it is now!