Rename project to JoyAI-Echo-SR
Browse files
README.md
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<p align="center">
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<img src="https://raw.githubusercontent.com/xin1u/Echo-SR/main/assets/echo-sr-hero.jpg" alt="Echo-SR video super-resolution" width="100%">
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</p>
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# Echo-SR
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Echo-SR
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two product lines. Training and inference code is available in the
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[Echo-SR GitHub repository](https://github.com/xin1u/Echo-SR).
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- **Short-video, video-only DMD** — one-step generators for LTX-2 19B and
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LTX-2.3 22B, distilled with DMD distribution matching + GAN + pixel losses.
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Download everything:
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```bash
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hf download xin1u/Echo-SR --local-dir checkpoints/echo-sr
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```
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## Usage
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Short-video DMD inference:
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```bash
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git clone https://github.com/xin1u/Echo-SR.git
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cd Echo-SR
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bash scripts/infer.sh \
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--input-video input_lq.mp4 \
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<p align="center">
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<img src="https://raw.githubusercontent.com/xin1u/JoyAI-Echo-SR/main/assets/echo-sr-hero.jpg" alt="Echo-SR video super-resolution" width="100%">
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</p>
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# JoyAI-Echo-SR
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JoyAI-Echo-SR is the super-resolution sub-project of
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[JoyAI-Echo](https://github.com/jd-opensource/JoyAI-Echo). It provides
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super-resolution adapters for the LTX model family, covering
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two product lines. Training and inference code is available in the
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[JoyAI-Echo-SR GitHub repository](https://github.com/xin1u/JoyAI-Echo-SR).
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- **Short-video, video-only DMD** — one-step generators for LTX-2 19B and
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LTX-2.3 22B, distilled with DMD distribution matching + GAN + pixel losses.
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Download everything:
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```bash
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hf download xin1u/JoyAI-Echo-SR --local-dir checkpoints/echo-sr
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```
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## Usage
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Short-video DMD inference:
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```bash
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git clone https://github.com/xin1u/JoyAI-Echo-SR.git
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cd JoyAI-Echo-SR
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bash scripts/infer.sh \
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--input-video input_lq.mp4 \
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