Upload training/configs/dataset_quick_train.toml with huggingface_hub
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training/configs/dataset_quick_train.toml
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# MiniMax H3 quick run — mega_curated 3.9k clips, i2va, video-only (no audio in sources)
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# Multi-resolution: three area buckets (mandatory for H3 — RoPE grid is area-normalized)
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# Small/medium resolutions per user directive (1024x576 dropped).
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# Sources normalized to 24 fps CFR, square pixels (SAR 1:1) in /workspace/datasets/mega_24
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[general]
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caption_extension = ".txt"
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batch_size = 1
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enable_bucket = true
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bucket_no_upscale = true
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# ~55% — low bucket (motion is cheap at low res)
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[[datasets]]
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video_directory = "/workspace/datasets/train_quick/v288"
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cache_directory = "/workspace/cache/quick/v288"
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resolution = [512, 288]
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h3_target_mode = "video"
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source_fps = 24.0
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frame_extraction = "full"
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max_frames = 124
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num_repeats = 1
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# ~28% — main bucket
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[[datasets]]
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video_directory = "/workspace/datasets/train_quick/v384"
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cache_directory = "/workspace/cache/quick/v384"
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resolution = [640, 384]
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h3_target_mode = "video"
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source_fps = 24.0
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frame_extraction = "full"
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max_frames = 124
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num_repeats = 1
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# ~17% — medium anchor (prevents low-density specialization)
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[[datasets]]
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video_directory = "/workspace/datasets/train_quick/v480"
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cache_directory = "/workspace/cache/quick/v480"
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resolution = [832, 480]
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h3_target_mode = "video"
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source_fps = 24.0
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frame_extraction = "full"
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max_frames = 124
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num_repeats = 1
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