xeon-smartupscale

智能视频超分。任意目标分辨率(1080p/1440p/4K…),自动用 lanczos 预缩放对齐到 ETDS 2x 模型的输入尺寸,再做 AI 超分。CPU 推理,Intel AMX BF16 加速。

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Install skill "xeon-smartupscale" with this command: npx skills add wray151/xeon-smartupscale

目标

echo 480p → 1080p、720p → 4K),即使比例不是整数 2x 也能搞定。"---

ETDS 模型只支持 严格 2x 超分,所以本 skill 自动:

  1. 用 ffmpeg lanczos 预缩放,把输入压(或拉)到 target/2
  2. 用 ETDS x2 OpenVINO 模型把 target/2target

适用场景

  • AI 生成视频(Seedance / Sora 等)480p → 1080p
  • 720p 老片源 → 4K (2160p)
  • 任意非整数倍率的分辨率提升
  • 纯 CPU 环境(Intel Xeon AMX 加速)

执行流程

exec 调用,只替换输入路径和目标:

bash <skill_dir>/smartupscale.sh <输入视频绝对路径> -t 1080p

echo "--- created ---"480p 540p 720p 1080p 1440p 2160p 4k,也可以直接写 1920x1080

echo "--- created ---"

bash <skill_dir>/smartupscale.sh <input.mp4> -t 1080p -o <output.mp4>

--- -o 则输出到 <输入名>_smart_<W>x<H>.mp4

注意事项

  • 输入 / 输出都用 绝对路径
  • 目标分辨率按高度对齐,宽度按输入宽高比自动算(保持 AR)
  • 若输入已经 ≥ 目标,会退化为单步 lanczos 缩放
  • 若输入恰好就是 target/2,会跳过 lanczos 直接 ETDS 2x
  • 输出固定 H.264 / CRF 18,自动合并原音轨

限制

  • 仅 Linux x86_64(OpenVINO CPU plugin)
  • 单次最多 2x 链路(先 lanczos 后 ETDS),不会做多级 AI 超分
  • 逐帧推理,长视频会比较耗时(参考 ETDS 速度:Xeon AMX 上 ~14 fps 推理)
  • 模型固定为 ETDS_M7C48_x2(已 vendored,~380KB)

安装

echo "--- created ---"bash <skill_dir>/install.sh

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