{ "format": "miowtion-veda-predictor-v1", "model_type": "veda_tile_score_predictor", "weights_file": "minimax_h3_r2va_veda_preview_fp8.safetensors", "base_model": "MiniMaxAI/MiniMax-H3", "task": "reference-to-audio-video", "variant": "Ref2VA", "num_layers": 50, "num_heads": 56, "head_dim": 128, "tile_size": 128, "dtype": "float8_e4m3fn", "target_budget_kind": "tiles", "target_budget_value": 32, "ref_budget_kind": "tiles", "ref_budget_value": 32, "tile_conditions": true, "num_inference_steps": 8, "geometries": { "16x9_t102": { "latent_grid": [ 102, 24, 42 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x8x4", "8x8x2" ] }, "16x9_t37": { "latent_grid": [ 37, 24, 42 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x8x4", "8x8x2" ] }, "16x9_t72": { "latent_grid": [ 72, 24, 42 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2" ] }, "1x1_t102": { "latent_grid": [ 102, 24, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2", "8x2x8" ] }, "1x1_t37": { "latent_grid": [ 37, 24, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "8x8x2", "8x2x8" ] }, "1x1_t72": { "latent_grid": [ 72, 24, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2", "8x2x8" ] }, "4x3_t102": { "latent_grid": [ 102, 24, 32 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2", "8x2x8" ] }, "4x3_t37": { "latent_grid": [ 37, 24, 32 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2", "8x2x8" ] }, "4x3_t72": { "latent_grid": [ 72, 24, 32 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "4x8x4", "8x8x2", "8x2x8" ] }, "9x16_t102": { "latent_grid": [ 102, 42, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "8x2x8" ] }, "9x16_t37": { "latent_grid": [ 37, 42, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x4x8", "8x2x8" ] }, "9x16_t72": { "latent_grid": [ 72, 42, 24 ], "tile_shapes": [ "8x4x4", "2x8x8", "4x8x4", "4x4x8", "8x2x8" ] } }, "scale_suffix": ".__scale", "scale_granularity": "per_head_amax", "load_dtype": "bfloat16", "compute_dtype": "float32", "few_step_lora": "trained with Turbo 8 NFE; other schedules need validation", "training": { "stage": "tile-score predictor distillation", "initialization": "T2VA predictor EMA", "updates_r2va_finetuning": 600, "training_conditions": 1000, "trained_geometries": [ "16:9", "9:16", "4:3", "1:1" ], "trained_latent_t": [ 37 ], "export": "live", "backbone_frozen": true } }