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r/MachineLearning· /u/BlueCeAnd·· 5 小时前AI 评分55

在 GTX 1650 上为 Minecraft 做实时神经天气重绘:1.4M 参数 U-Net 蒸馏自 FLUX.2 klein

Real-time neural weather restyling for Minecraft on a GTX 1650 (1.4M-param U-Net, distilled from FLUX.2 klein, 30-40 FPS realtime on budget GPU) [P]

AI 导读

作者用 FLUX.2 klein 4B 生成约 3k 帧雪、湿、夜晚三种强度各三档的天气画面作为教师数据,蒸馏出带 FiLM 滑块的 1.4M 参数 U-Net,在 512×288 分辨率下通过 ONNX Runtime 以约 26 ms/帧运行在 GTX 1650 上,30-40 FPS 实时重绘 Minecraft 天气且不改动 HUD。

正文
Real-time neural weather restyling for Minecraft on a GTX 1650 (1.4M-param U-Net, distilled from FLUX.2 klein, 30-40 FPS realtime on budget GPU) [P]
  • Teacher: FLUX.2 klein 4B paints ~3k frames (snow / wet / night at 3 strengths).
  • Student: 1.4M-param U-Net with FiLM sliders, 512×288, ~26 ms/frame via ONNX Runtime inside a Fabric mod; the HUD stays untouched.
  • Pixel loss (L1+MSE) gave a washed-out “average” because the teacher places snow/puddles differently per frame. A PatchGAN fine-tune on the same pairs fixed it: fat snow, real-looking reflections.
  • Failure cases: night (teacher painted sunsets), already-snowy biomes (never in the training data).

Happy to share details.

submitted by /u/BlueCeAnd
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来源:r/MachineLearning · reddit.com