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README.md
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1. Install dependencies
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We offer an efficient data management library, named IndexKits, supporting the management of reading hundreds of millions of data during training, see more in [docs](
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```shell
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# 1 Install dependencies
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cd HunyuanDiT
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We configure the training data through YAML files. In these files, you can set up standard data processing strategies for filtering, copying, deduplicating, and more regarding the training data. For more details, see [docs](IndexKits/docs/MakeDataset.md).
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For a sample file, please refer to [file](
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5. Create training data index file using YAML file.
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### LoRA
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We provide training and inference scripts for LoRA, detailed in the [guidances](
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## 🔑 Inference
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1. Install dependencies
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We offer an efficient data management library, named IndexKits, supporting the management of reading hundreds of millions of data during training, see more in [docs](https://github.com/Tencent/HunyuanDiT/blob/main/IndexKits/README.md).
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```shell
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# 1 Install dependencies
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cd HunyuanDiT
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We configure the training data through YAML files. In these files, you can set up standard data processing strategies for filtering, copying, deduplicating, and more regarding the training data. For more details, see [docs](IndexKits/docs/MakeDataset.md).
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For a sample file, please refer to [file](https://github.com/Tencent/HunyuanDiT/blob/main/dataset/yamls/porcelain.yaml). For a full parameter configuration file, see [file](https://github.com/Tencent/HunyuanDiT/blob/main/IndexKits/docs/MakeDataset.md).
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5. Create training data index file using YAML file.
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### LoRA
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We provide training and inference scripts for LoRA, detailed in the [guidances](https://github.com/Tencent/HunyuanDiT/blob/main/lora/README.md).
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## 🔑 Inference
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