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* Mar 17, 2025: π We release the inference code and model weights of Step-Video-Ti2V. [Download](https://huggingface.co/stepfun-ai/stepvideo-ti2v)
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* Mar 17, 2025: π We have made our technical report available as open source. [Read](https://arxiv.org/abs/2502.10248)
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## π Inference Scripts
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- We employed a decoupling strategy for the text encoder, VAE decoding, and DiT to optimize GPU resource utilization by DiT. As a result, a dedicated GPU is needed to handle the API services for the text encoder's embeddings and VAE decoding.
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* Mar 17, 2025: π We release the inference code and model weights of Step-Video-Ti2V. [Download](https://huggingface.co/stepfun-ai/stepvideo-ti2v)
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* Mar 17, 2025: π We have made our technical report available as open source. [Read](https://arxiv.org/abs/2502.10248)
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## π§ 4.2 Dependencies and Installation
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```bash
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git clone https://github.com/stepfun-ai/Step-Video-TI2V.git
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conda create -n stepvideo python=3.10
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conda activate stepvideo
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cd StepFun-StepVideo
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pip install -e .
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```
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## π Inference Scripts
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- We employed a decoupling strategy for the text encoder, VAE decoding, and DiT to optimize GPU resource utilization by DiT. As a result, a dedicated GPU is needed to handle the API services for the text encoder's embeddings and VAE decoding.
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