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Rename project to JoyAI-Echo-SR

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  1. README.md +9 -7
README.md CHANGED
@@ -10,14 +10,16 @@ tags:
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  ---
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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 provides 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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- [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.
@@ -62,7 +64,7 @@ Two auxiliary assets required by the AV configs ship alongside the weights:
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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
@@ -72,8 +74,8 @@ Select assets matching the LTX model family; never mix 19B and 22B assets.
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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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  ---
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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 \