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| # Dataset settings | |
| dataset = dict( | |
| type="VariableVideoTextDataset", | |
| transform_name="resize_crop", | |
| ) | |
| # backup | |
| # bucket_config = { # 20s/it | |
| # "144p": {1: (1.0, 100), 51: (1.0, 30), 102: (1.0, 20), 204: (1.0, 8), 408: (1.0, 4)}, | |
| # # --- | |
| # "256": {1: (0.5, 100), 51: (0.3, 24), 102: (0.3, 12), 204: (0.3, 4), 408: (0.3, 2)}, | |
| # "240p": {1: (0.5, 100), 51: (0.3, 24), 102: (0.3, 12), 204: (0.3, 4), 408: (0.3, 2)}, | |
| # # --- | |
| # "360p": {1: (0.5, 60), 51: (0.3, 12), 102: (0.3, 6), 204: (0.3, 2), 408: (0.3, 1)}, | |
| # "512": {1: (0.5, 60), 51: (0.3, 12), 102: (0.3, 6), 204: (0.3, 2), 408: (0.3, 1)}, | |
| # # --- | |
| # "480p": {1: (0.5, 40), 51: (0.3, 6), 102: (0.3, 3), 204: (0.3, 1), 408: (0.0, None)}, | |
| # # --- | |
| # "720p": {1: (0.2, 20), 51: (0.3, 2), 102: (0.3, 1), 204: (0.0, None)}, | |
| # "1024": {1: (0.1, 20), 51: (0.3, 2), 102: (0.3, 1), 204: (0.0, None)}, | |
| # # --- | |
| # "1080p": {1: (0.1, 10)}, | |
| # # --- | |
| # "2048": {1: (0.1, 5)}, | |
| # } | |
| # webvid | |
| bucket_config = { # 12s/it | |
| "144p": {1: (1.0, 475), 51: (1.0, 51), 102: ((1.0, 0.33), 27), 204: ((1.0, 0.1), 13), 408: ((1.0, 0.1), 6)}, | |
| # --- | |
| "256": {1: (0.4, 297), 51: (0.5, 20), 102: ((0.5, 0.33), 10), 204: ((0.5, 0.1), 5), 408: ((0.5, 0.1), 2)}, | |
| "240p": {1: (0.3, 297), 51: (0.4, 20), 102: ((0.4, 0.33), 10), 204: ((0.4, 0.1), 5), 408: ((0.4, 0.1), 2)}, | |
| # --- | |
| "360p": {1: (0.2, 141), 51: (0.15, 8), 102: ((0.15, 0.33), 4), 204: ((0.15, 0.1), 2), 408: ((0.15, 0.1), 1)}, | |
| "512": {1: (0.1, 141)}, | |
| # --- | |
| "480p": {1: (0.1, 89)}, | |
| # --- | |
| "720p": {1: (0.05, 36)}, | |
| "1024": {1: (0.05, 36)}, | |
| # --- | |
| "1080p": {1: (0.1, 5)}, | |
| # --- | |
| "2048": {1: (0.1, 5)}, | |
| } | |
| grad_checkpoint = True | |
| # Acceleration settings | |
| num_workers = 8 | |
| num_bucket_build_workers = 16 | |
| dtype = "bf16" | |
| plugin = "zero2" | |
| # Model settings | |
| model = dict( | |
| type="STDiT3-XL/2", | |
| from_pretrained=None, | |
| qk_norm=True, | |
| enable_flash_attn=True, | |
| enable_layernorm_kernel=True, | |
| freeze_y_embedder=True, | |
| ) | |
| vae = dict( | |
| type="OpenSoraVAE_V1_2", | |
| from_pretrained="/mnt/jfs/sora_checkpoints/vae-pipeline", | |
| micro_frame_size=17, | |
| micro_batch_size=4, | |
| ) | |
| text_encoder = dict( | |
| type="t5", | |
| from_pretrained="DeepFloyd/t5-v1_1-xxl", | |
| model_max_length=300, | |
| shardformer=True, | |
| local_files_only=True, | |
| ) | |
| scheduler = dict( | |
| type="rflow", | |
| use_timestep_transform=True, | |
| sample_method="logit-normal", | |
| ) | |
| # Mask settings | |
| mask_ratios = { | |
| "random": 0.05, | |
| "intepolate": 0.005, | |
| "quarter_random": 0.005, | |
| "quarter_head": 0.005, | |
| "quarter_tail": 0.005, | |
| "quarter_head_tail": 0.005, | |
| "image_random": 0.025, | |
| "image_head": 0.05, | |
| "image_tail": 0.025, | |
| "image_head_tail": 0.025, | |
| } | |
| # Log settings | |
| seed = 42 | |
| outputs = "outputs" | |
| wandb = False | |
| epochs = 1000 | |
| log_every = 10 | |
| ckpt_every = 200 | |
| # optimization settings | |
| load = None | |
| grad_clip = 1.0 | |
| lr = 1e-4 | |
| ema_decay = 0.99 | |
| adam_eps = 1e-15 | |
| warmup_steps = 1000 | |