├── .gitattributes ├── .gitignore ├── .gitmodules ├── LICENSE.txt ├── README.md ├── assets ├── Minimal_dark.png ├── Minimal_dark_white_background.png ├── Minimal_light.png ├── patches │ └── modifications.patch └── video │ ├── Algorithm.gif │ ├── Quality.gif │ ├── SparseVideoGenDemo.gif │ └── Speedup.gif ├── cog_inference.py ├── cosmos_t2v_inference.py ├── dataloader.py ├── examples ├── 1 │ ├── image.jpg │ └── prompt.txt ├── 2 │ └── prompt.txt ├── 3 │ └── prompt.txt ├── 4 │ ├── image.jpg │ └── prompt.txt ├── 5 │ └── prompt.txt ├── 6 │ ├── image.jpg │ └── prompt.txt └── 7 │ └── prompt.txt ├── hyvideo_i2v_inference.py ├── hyvideo_t2v_inference.py ├── orig_hyvideo_inference.py ├── pyproject.toml ├── scripts ├── cog │ └── cog_inference.sh ├── cosmos │ ├── cosmos_t2v_dense.sh │ ├── cosmos_t2v_sap.sh │ └── cosmos_t2v_svg.sh ├── hyvideo │ ├── hyvideo_t2v_480p_dense.sh │ ├── hyvideo_t2v_480p_sap.sh │ ├── hyvideo_t2v_480p_svg.sh │ ├── hyvideo_t2v_720p_dense.sh │ ├── hyvideo_t2v_720p_sap.sh │ └── hyvideo_t2v_720p_svg.sh └── wan │ ├── wan_i2v_480p_dense.sh │ ├── wan_i2v_480p_sap.sh │ ├── wan_i2v_480p_svg.sh │ ├── wan_i2v_720p_dense.sh │ ├── wan_i2v_720p_sap.sh │ ├── wan_i2v_720p_svg.sh │ ├── wan_t2v_720p_dense.sh │ ├── wan_t2v_720p_sap.sh │ └── wan_t2v_720p_svg.sh ├── svg ├── README.md ├── __init__.py ├── kernels │ ├── CMakeLists.txt │ ├── csrc │ │ ├── ops.cu │ │ ├── ops.h │ │ └── pytorch_extension_utils.h │ ├── include │ │ ├── norm │ │ │ ├── cutlass_layer_norm.cuh │ │ │ ├── cutlass_rms_norm.h │ │ │ ├── device_utils.cuh │ │ │ ├── narrow_layer_norm.cuh │ │ │ └── narrow_rms_norm.cuh │ │ └── rope │ │ │ ├── rope_enc.cuh │ │ │ ├── rope_enc_complex.cuh │ │ │ └── rope_enc_txtlast.cuh │ ├── ops │ │ ├── __init__.py │ │ ├── attention_ops.py │ │ ├── attention_ops_wan.py │ │ └── attention_ops_wan_dyn_blk.py │ ├── setup.sh │ ├── test │ │ ├── __init__.py │ │ ├── bench_apply_rope.py │ │ ├── bench_apply_rope_complex.py │ │ ├── bench_layer_norm.py │ │ ├── bench_rms_norm.py │ │ ├── test_apply_rope.py │ │ ├── test_apply_rope_complex.py │ │ ├── test_apply_rope_txtlast.py │ │ ├── test_kmeans_torch.py │ │ ├── test_layer_norm.py │ │ ├── test_rms_norm.py │ │ ├── test_sparse_attn.py │ │ ├── test_sparse_attn_dyn_blk_wan.py │ │ └── test_sparse_attn_wan.py │ └── triton │ │ ├── __init__.py │ │ ├── layernorm.py │ │ ├── modulate.py │ │ ├── permute.py │ │ ├── rmsnorm.py │ │ └── utils.py ├── kmeans_utils.py ├── logger.py ├── models │ ├── cog │ │ ├── attention.py │ │ ├── custom_models.py │ │ ├── inference.py │ │ ├── placement.py │ │ └── utils.py │ ├── cosmos │ │ ├── attention.py │ │ ├── custom_models.py │ │ ├── inference.py │ │ ├── misc.py │ │ ├── placement.py │ │ └── utils.py │ ├── hyvideo │ │ ├── __init__.py │ │ ├── attention.py │ │ ├── custom_models.py │ │ ├── inference.py │ │ ├── placement.py │ │ └── utils.py │ ├── hyvideo_orig │ │ ├── __init__.py │ │ ├── config.py │ │ ├── constants.py │ │ ├── diffusion │ │ │ ├── __init__.py │ │ │ ├── pipelines │ │ │ │ ├── __init__.py │ │ │ │ └── pipeline_hunyuan_video.py │ │ │ └── schedulers │ │ │ │ ├── __init__.py │ │ │ │ └── scheduling_flow_match_discrete.py │ │ ├── inference.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── activation_layers.py │ │ │ ├── attenion.py │ │ │ ├── custom_models.py │ │ │ ├── embed_layers.py │ │ │ ├── fp8_optimization.py │ │ │ ├── mlp_layers.py │ │ │ ├── models.py │ │ │ ├── modulate_layers.py │ │ │ ├── norm_layers.py │ │ │ ├── placement.py │ │ │ ├── posemb_layers.py │ │ │ ├── token_refiner.py │ │ │ └── utils.py │ │ ├── prompt_rewrite.py │ │ ├── text_encoder │ │ │ └── __init__.py │ │ ├── utils │ │ │ ├── __init__.py │ │ │ ├── data_utils.py │ │ │ ├── file_utils.py │ │ │ ├── helpers.py │ │ │ └── preprocess_text_encoder_tokenizer_utils.py │ │ └── vae │ │ │ ├── __init__.py │ │ │ ├── autoencoder_kl_causal_3d.py │ │ │ ├── unet_causal_3d_blocks.py │ │ │ └── vae.py │ ├── utils.py │ ├── wan │ │ ├── attention.py │ │ ├── custom_models.py │ │ ├── inference.py │ │ ├── misc.py │ │ ├── placement.py │ │ └── utils.py │ └── wan_orig │ │ ├── __init__.py │ │ ├── configs │ │ ├── __init__.py │ │ ├── shared_config.py │ │ ├── wan_i2v_14B.py │ │ ├── wan_t2v_14B.py │ │ └── wan_t2v_1_3B.py │ │ ├── distributed │ │ ├── __init__.py │ │ ├── fsdp.py │ │ └── xdit_context_parallel.py │ │ ├── image2video.py │ │ ├── modules │ │ ├── __init__.py │ │ ├── attention.py │ │ ├── clip.py │ │ ├── custom_model.py │ │ ├── model.py │ │ ├── placement.py │ │ ├── t5.py │ │ ├── tokenizers.py │ │ ├── utils.py │ │ ├── vae.py │ │ └── xlm_roberta.py │ │ ├── text2video.py │ │ └── utils │ │ ├── __init__.py │ │ ├── fm_solvers.py │ │ ├── fm_solvers_unipc.py │ │ ├── prompt_extend.py │ │ ├── qwen_vl_utils.py │ │ └── utils.py ├── timer.py └── utils │ ├── __init__.py │ ├── densities_get_mean.py │ ├── density.py │ ├── extract_time.py │ ├── metric.py │ ├── metrics_get_mean.py │ ├── misc.py │ ├── seed.py │ └── vbench.py ├── wan_i2v_inference.py └── wan_t2v_inference.py /.gitattributes: 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