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Add candle-video library for text-to-video generation in README.md (#3365)
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README.md

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@@ -179,6 +179,7 @@ And then head over to
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ergonomic LoRA implementation for Candle. `candle-lora` has
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out-of-the-box LoRA support for many models from Candle, which can be found
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[here](https://github.com/EricLBuehler/candle-lora/tree/master/candle-lora-transformers/examples).
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- [`candle-video`](https://github.com/FerrisMind/candle-video): Rust library for text-to-video generation (LTX-Video and related models) built on Candle, focused on fast, Python-free inference.
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- [`optimisers`](https://github.com/KGrewal1/optimisers): A collection of optimisers
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including SGD with momentum, AdaGrad, AdaDelta, AdaMax, NAdam, RAdam, and RMSprop.
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- [`candle-vllm`](https://github.com/EricLBuehler/candle-vllm): Efficient platform for inference and

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