├── .gitignore ├── LICENSE ├── README.md ├── assets ├── 1.3b_examples │ ├── combined_video1.gif │ ├── combined_video2.gif │ ├── ref3_motion1_1.3b.gif │ ├── ref3_motion2_1.3b.gif │ └── ref3_motion3_1.3b.gif └── 14b_examples │ ├── ref_1_motion1.gif │ ├── ref_1_motion2.gif │ ├── ref_1_motion3.gif │ ├── ref_2_motion1.gif │ ├── ref_2_motion2.gif │ └── ref_2_motion3.gif ├── benchmark ├── DisCo │ ├── .gitignore │ ├── LICENSE │ ├── PREPRO.md │ ├── README.md │ ├── agent.py │ ├── annotator │ │ ├── grounded-sam │ │ │ ├── Dockerfile │ │ │ ├── GroundingDINO │ │ │ │ ├── LICENSE │ │ │ │ ├── README.md │ │ │ │ ├── groundingdino │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── config │ │ │ │ │ │ ├── GroundingDINO_SwinB.cfg.py │ │ │ │ │ │ └── GroundingDINO_SwinT_OGC.py │ │ │ │ │ ├── datasets │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── transforms.py │ │ │ │ │ ├── models │ │ │ │ │ │ ├── GroundingDINO │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── backbone │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── backbone.py │ │ │ │ │ │ │ │ ├── position_encoding.py │ │ │ │ │ │ │ │ └── swin_transformer.py │ │ │ │ │ │ │ ├── bertwarper.py │ │ │ │ │ │ │ ├── csrc │ │ │ │ │ │ │ │ ├── MsDeformAttn │ │ │ │ │ │ │ │ │ ├── ms_deform_attn.h │ │ │ │ │ │ │ │ │ ├── ms_deform_attn_cpu.cpp │ │ │ │ │ │ │ │ │ ├── ms_deform_attn_cpu.h │ │ │ │ │ │ │ │ │ ├── ms_deform_attn_cuda.cu │ │ │ │ │ │ │ │ │ ├── ms_deform_attn_cuda.h │ │ │ │ │ │ │ │ │ └── ms_deform_im2col_cuda.cuh │ │ │ │ │ │ │ │ ├── cuda_version.cu │ │ │ │ │ │ │ │ └── vision.cpp │ │ │ │ │ │ │ ├── fuse_modules.py │ │ │ │ │ │ │ ├── groundingdino.py │ │ │ │ │ │ │ ├── ms_deform_attn.py │ │ │ │ │ │ │ ├── transformer.py │ │ │ │ │ │ │ ├── transformer_vanilla.py │ │ │ │ │ │ │ └── utils.py │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── registry.py │ │ │ │ │ ├── util │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── box_ops.py │ │ │ │ │ │ ├── get_tokenlizer.py │ │ │ │ │ │ ├── inference.py │ │ │ │ │ │ ├── logger.py │ │ │ │ │ │ ├── misc.py │ │ │ │ │ │ ├── slconfig.py │ │ │ │ │ │ ├── slio.py │ │ │ │ │ │ ├── time_counter.py │ │ │ │ │ │ ├── utils.py │ │ │ │ │ │ ├── visualizer.py │ │ │ │ │ │ └── vl_utils.py │ │ │ │ │ └── version.py │ │ │ │ ├── requirements.txt │ │ │ │ └── setup.py │ │ │ ├── LICENSE │ │ │ ├── Makefile │ │ │ ├── README.md │ │ │ ├── grounded-sam-osx │ │ │ │ ├── LICENSE │ │ │ │ ├── README.md │ │ │ │ ├── _base_ │ │ │ │ │ ├── datasets │ │ │ │ │ │ ├── 300w.py │ │ │ │ │ │ ├── aflw.py │ │ │ │ │ │ ├── aic.py │ │ │ │ │ │ ├── animalpose.py │ │ │ │ │ │ ├── ap10k.py │ │ │ │ │ │ ├── atrw.py │ │ │ │ │ │ ├── campus.py │ │ │ │ │ │ ├── coco.py │ │ │ │ │ │ ├── coco_wholebody.py │ │ │ │ │ │ ├── coco_wholebody_face.py │ │ │ │ │ │ ├── coco_wholebody_hand.py │ │ │ │ │ │ ├── cofw.py │ │ │ │ │ │ ├── crowdpose.py │ │ │ │ │ │ ├── deepfashion_full.py │ │ │ │ │ │ ├── deepfashion_lower.py │ │ │ │ │ │ ├── deepfashion_upper.py │ │ │ │ │ │ ├── fly.py │ │ │ │ │ │ ├── freihand2d.py │ │ │ │ │ │ ├── h36m.py │ │ │ │ │ │ ├── halpe.py │ │ │ │ │ │ ├── horse10.py │ │ │ │ │ │ ├── interhand2d.py │ │ │ │ │ │ ├── interhand3d.py │ │ │ │ │ │ ├── jhmdb.py │ │ │ │ │ │ ├── locust.py │ │ │ │ │ │ ├── macaque.py │ │ │ │ │ │ ├── mhp.py │ │ │ │ │ │ ├── mpi_inf_3dhp.py │ │ │ │ │ │ ├── mpii.py │ │ │ │ │ │ ├── mpii_trb.py │ │ │ │ │ │ ├── nvgesture.py │ │ │ │ │ │ ├── ochuman.py │ │ │ │ │ │ ├── onehand10k.py │ │ │ │ │ │ ├── panoptic_body3d.py │ │ │ │ │ │ ├── panoptic_hand2d.py │ │ │ │ │ │ ├── posetrack18.py │ │ │ │ │ │ ├── rhd2d.py │ │ │ │ │ │ ├── shelf.py │ │ │ │ │ │ ├── wflw.py │ │ │ │ │ │ └── zebra.py │ │ │ │ │ ├── default_runtime.py │ │ │ │ │ └── filters │ │ │ │ │ │ ├── gaussian.py │ │ │ │ │ │ ├── one_euro.py │ │ │ │ │ │ ├── savizky_golay.py │ │ │ │ │ │ ├── smoothnet_h36m.md │ │ │ │ │ │ ├── smoothnet_t16_h36m.py │ │ │ │ │ │ ├── smoothnet_t32_h36m.py │ │ │ │ │ │ ├── smoothnet_t64_h36m.py │ │ │ │ │ │ └── smoothnet_t8_h36m.py │ │ │ │ ├── config.py │ │ │ │ ├── install.sh │ │ │ │ ├── nets │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── layer.py │ │ │ │ │ └── module.py │ │ │ │ ├── osx.py │ │ │ │ ├── requirements.txt │ │ │ │ ├── transformer_utils │ │ │ │ │ ├── .gitignore │ │ │ │ │ ├── CITATION.cff │ │ │ │ │ ├── LICENSE │ │ │ │ │ ├── MANIFEST.in │ │ │ │ │ ├── configs │ │ │ │ │ │ └── osx │ │ │ │ │ │ │ └── encoder │ │ │ │ │ │ │ ├── body_encoder_base.py │ │ │ │ │ │ │ └── body_encoder_large.py │ │ │ │ │ ├── mmpose │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── core │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── bbox │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── transforms.py │ │ │ │ │ │ │ ├── camera │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── camera_base.py │ │ │ │ │ │ │ │ ├── single_camera.py │ │ │ │ │ │ │ │ └── single_camera_torch.py │ │ │ │ │ │ │ ├── distributed_wrapper.py │ │ │ │ │ │ │ ├── evaluation │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── bottom_up_eval.py │ │ │ │ │ │ │ │ ├── eval_hooks.py │ │ │ │ │ │ │ │ ├── mesh_eval.py │ │ │ │ │ │ │ │ ├── pose3d_eval.py │ │ │ │ │ │ │ │ └── top_down_eval.py │ │ │ │ │ │ │ ├── fp16 │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── decorators.py │ │ │ │ │ │ │ │ ├── hooks.py │ │ │ │ │ │ │ │ └── utils.py │ │ │ │ │ │ │ ├── optimizers │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── builder.py │ │ │ │ │ │ │ │ └── layer_decay_optimizer_constructor.py │ │ │ │ │ │ │ ├── post_processing │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── group.py │ │ │ │ │ │ │ │ ├── nms.py │ │ │ │ │ │ │ │ ├── one_euro_filter.py │ │ │ │ │ │ │ │ ├── post_transforms.py │ │ │ │ │ │ │ │ ├── smoother.py │ │ │ │ │ │ │ │ └── temporal_filters │ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ │ ├── builder.py │ │ │ │ │ │ │ │ │ ├── filter.py │ │ │ │ │ │ │ │ │ ├── gaussian_filter.py │ │ │ │ │ │ │ │ │ ├── one_euro_filter.py │ │ │ │ │ │ │ │ │ ├── savizky_golay_filter.py │ │ │ │ │ │ │ │ │ └── smoothnet_filter.py │ │ │ │ │ │ │ ├── utils │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── dist_utils.py │ │ │ │ │ │ │ │ ├── model_util_hooks.py │ │ │ │ │ │ │ │ └── regularizations.py │ │ │ │ │ │ │ └── visualization │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── image.py │ │ │ │ │ │ ├── deprecated.py │ │ │ │ │ │ ├── models │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── backbones │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── alexnet.py │ │ │ │ │ │ │ │ ├── base_backbone.py │ │ │ │ │ │ │ │ ├── cpm.py │ │ │ │ │ │ │ │ ├── hourglass.py │ │ │ │ │ │ │ │ ├── hourglass_ae.py │ │ │ │ │ │ │ │ ├── hrformer.py │ │ │ │ │ │ │ │ ├── hrnet.py │ │ │ │ │ │ │ │ ├── hrt.py │ │ │ │ │ │ │ │ ├── hrt_checkpoint.py │ │ │ │ │ │ │ │ ├── i3d.py │ │ │ │ │ │ │ │ ├── litehrnet.py │ │ │ │ │ │ │ │ ├── mobilenet_v2.py │ │ │ │ │ │ │ │ ├── mobilenet_v3.py │ │ │ │ │ │ │ │ ├── modules │ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ │ ├── basic_block.py │ │ │ │ │ │ │ │ │ ├── bottleneck_block.py │ │ │ │ │ │ │ │ │ ├── ffn_block.py │ │ │ │ │ │ │ │ │ ├── multihead_attention.py │ │ │ │ │ │ │ │ │ ├── multihead_isa_attention.py │ │ │ │ │ │ │ │ │ ├── multihead_isa_pool_attention.py │ │ │ │ │ │ │ │ │ └── transformer_block.py │ │ │ │ │ │ │ │ ├── mspn.py │ │ │ │ │ │ │ │ ├── pvt.py │ │ │ │ │ │ │ │ ├── regnet.py │ │ │ │ │ │ │ │ ├── resnest.py │ │ │ │ │ │ │ │ ├── resnet.py │ │ │ │ │ │ │ │ ├── resnext.py │ │ │ │ │ │ │ │ ├── rsn.py │ │ │ │ │ │ │ │ ├── scnet.py │ │ │ │ │ │ │ │ ├── seresnet.py │ │ │ │ │ │ │ │ ├── seresnext.py │ │ │ │ │ │ │ │ ├── shufflenet_v1.py │ │ │ │ │ │ │ │ ├── shufflenet_v2.py │ │ │ │ │ │ │ │ ├── swin.py │ │ │ │ │ │ │ │ ├── tcformer.py │ │ │ │ │ │ │ │ ├── tcn.py │ │ │ │ │ │ │ │ ├── utils │ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ │ ├── channel_shuffle.py │ │ │ │ │ │ │ │ │ ├── ckpt_convert.py │ │ │ │ │ │ │ │ │ ├── inverted_residual.py │ │ │ │ │ │ │ │ │ ├── make_divisible.py │ │ │ │ │ │ │ │ │ ├── se_layer.py │ │ │ │ │ │ │ │ │ └── utils.py │ │ │ │ │ │ │ │ ├── v2v_net.py │ │ │ │ │ │ │ │ ├── vgg.py │ │ │ │ │ │ │ │ ├── vipnas_mbv3.py │ │ │ │ │ │ │ │ ├── vipnas_resnet.py │ │ │ │ │ │ │ │ └── vit.py │ │ │ │ │ │ │ ├── builder.py │ │ │ │ │ │ │ ├── detectors │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── base.py │ │ │ │ │ │ │ │ ├── poseur.py │ │ │ │ │ │ │ │ └── top_down.py │ │ │ │ │ │ │ ├── heads │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── poseur_head.py │ │ │ │ │ │ │ │ ├── rle_regression_head.py │ │ │ │ │ │ │ │ ├── topdown_heatmap_base_head.py │ │ │ │ │ │ │ │ ├── topdown_heatmap_multi_stage_head.py │ │ │ │ │ │ │ │ └── topdown_heatmap_simple_head.py │ │ │ │ │ │ │ ├── losses │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── classfication_loss.py │ │ │ │ │ │ │ │ ├── heatmap_loss.py │ │ │ │ │ │ │ │ ├── mesh_loss.py │ │ │ │ │ │ │ │ ├── mse_loss.py │ │ │ │ │ │ │ │ ├── multi_loss_factory.py │ │ │ │ │ │ │ │ ├── regression_loss.py │ │ │ │ │ │ │ │ └── rle_loss.py │ │ │ │ │ │ │ ├── misc │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── discriminator.py │ │ │ │ │ │ │ ├── necks │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── channel_mapper.py │ │ │ │ │ │ │ │ ├── fpn.py │ │ │ │ │ │ │ │ ├── gap_neck.py │ │ │ │ │ │ │ │ ├── posewarper_neck.py │ │ │ │ │ │ │ │ └── tcformer_mta_neck.py │ │ │ │ │ │ │ ├── registry.py │ │ │ │ │ │ │ └── utils │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── ckpt_convert.py │ │ │ │ │ │ │ │ ├── geometry.py │ │ │ │ │ │ │ │ ├── misc.py │ │ │ │ │ │ │ │ ├── ops.py │ │ │ │ │ │ │ │ ├── positional_encoding.py │ │ │ │ │ │ │ │ ├── realnvp.py │ │ │ │ │ │ │ │ ├── smpl.py │ │ │ │ │ │ │ │ ├── tcformer_utils.py │ │ │ │ │ │ │ │ └── transformer.py │ │ │ │ │ │ ├── ops │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── csrc │ │ │ │ │ │ │ │ └── pytorch │ │ │ │ │ │ │ │ │ ├── info.cpp │ │ │ │ │ │ │ │ │ ├── ms_deform_attn.cpp │ │ │ │ │ │ │ │ │ ├── ms_deform_attn_cuda.cu │ │ │ │ │ │ │ │ │ └── ms_deform_attn_cuda_kernel.cuh │ │ │ │ │ │ │ └── multi_scale_deform_attn.py │ │ │ │ │ │ ├── utils │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── collect_env.py │ │ │ │ │ │ │ ├── hooks.py │ │ │ │ │ │ │ ├── logger.py │ │ │ │ │ │ │ ├── setup_env.py │ │ │ │ │ │ │ └── timer.py │ │ │ │ │ │ └── version.py │ │ │ │ │ ├── model-index.yml │ │ │ │ │ ├── pytest.ini │ │ │ │ │ ├── requirements.txt │ │ │ │ │ ├── requirements │ │ │ │ │ │ ├── build.txt │ │ │ │ │ │ ├── docs.txt │ │ │ │ │ │ ├── mminstall.txt │ │ │ │ │ │ ├── optional.txt │ │ │ │ │ │ ├── readthedocs.txt │ │ │ │ │ │ ├── runtime.txt │ │ │ │ │ │ └── tests.txt │ │ │ │ │ ├── resources │ │ │ │ │ │ └── mmpose-logo.png │ │ │ │ │ ├── setup.cfg │ │ │ │ │ └── setup.py │ │ │ │ └── utils │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── dir.py │ │ │ │ │ ├── geometry.py │ │ │ │ │ ├── human_models.py │ │ │ │ │ ├── preprocessing.py │ │ │ │ │ ├── smplx │ │ │ │ │ ├── LICENSE │ │ │ │ │ ├── README.md │ │ │ │ │ ├── examples │ │ │ │ │ │ ├── demo.py │ │ │ │ │ │ ├── demo_layers.py │ │ │ │ │ │ ├── vis_flame_vertices.py │ │ │ │ │ │ └── vis_mano_vertices.py │ │ │ │ │ ├── setup.py │ │ │ │ │ ├── smplx │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── body_models.py │ │ │ │ │ │ ├── joint_names.py │ │ │ │ │ │ ├── lbs.py │ │ │ │ │ │ ├── utils.py │ │ │ │ │ │ ├── vertex_ids.py │ │ │ │ │ │ └── vertex_joint_selector.py │ │ │ │ │ └── tools │ │ │ │ │ │ ├── README.md │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── clean_ch.py │ │ │ │ │ │ └── merge_smplh_mano.py │ │ │ │ │ ├── transforms.py │ │ │ │ │ └── vis.py │ │ │ ├── grounded_sam_demo.py │ │ │ ├── kevin.py │ │ │ ├── requirements.txt │ │ │ ├── run.py │ │ │ ├── run_local_test.sh │ │ │ └── segment_anything │ │ │ │ ├── .flake8 │ │ │ │ ├── CODE_OF_CONDUCT.md │ │ │ │ ├── CONTRIBUTING.md │ │ │ │ ├── LICENSE │ │ │ │ ├── README.md │ │ │ │ ├── linter.sh │ │ │ │ ├── scripts │ │ │ │ ├── amg.py │ │ │ │ └── export_onnx_model.py │ │ │ │ ├── segment_anything │ │ │ │ ├── __init__.py │ │ │ │ ├── automatic_mask_generator.py │ │ │ │ ├── build_sam.py │ │ │ │ ├── modeling │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── common.py │ │ │ │ │ ├── image_encoder.py │ │ │ │ │ ├── mask_decoder.py │ │ │ │ │ ├── prompt_encoder.py │ │ │ │ │ ├── sam.py │ │ │ │ │ └── transformer.py │ │ │ │ ├── predictor.py │ │ │ │ └── utils │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── amg.py │ │ │ │ │ ├── onnx.py │ │ │ │ │ └── transforms.py │ │ │ │ ├── setup.cfg │ │ │ │ └── setup.py │ │ ├── openpose │ │ │ ├── __init__.py │ │ │ ├── body.py │ │ │ ├── hand.py │ │ │ ├── model.py │ │ │ ├── run.py │ │ │ └── util.py │ │ └── util.py │ ├── config │ │ ├── __init__.py │ │ ├── bash_command │ │ │ ├── moretiktok_cfg.sh │ │ │ └── tiktok_cfg.sh │ │ ├── disco_w_tm │ │ │ ├── tem_disco_temp_attn │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── controlnet_3d.py │ │ │ │ ├── net.py │ │ │ │ ├── resnet.py │ │ │ │ ├── transformer_3d.py │ │ │ │ ├── unet_3d_condition.py │ │ │ │ ├── unet_blocks.py │ │ │ │ └── utils.py │ │ │ ├── yz_tiktok_S256L16_xformers_tsv.py │ │ │ └── yz_tiktok_S256L16_xformers_tsv_temdisco_temp_attn.py │ │ ├── ref_attn_clip_combine_controlnet │ │ │ ├── app_demo_image_edit.py │ │ │ ├── controlnet.py │ │ │ ├── controlnet_main.py │ │ │ ├── net.py │ │ │ ├── tiktok_S256L16_xformers_mask.py │ │ │ ├── tiktok_S256L16_xformers_tsv.py │ │ │ └── unet_2d_condition.py │ │ ├── ref_attn_clip_combine_controlnet_attr_pretraining │ │ │ ├── coco_S256_xformers_tsv.py │ │ │ ├── coco_S256_xformers_tsv_strongrand.py │ │ │ ├── controlnet.py │ │ │ ├── controlnet_main.py │ │ │ ├── net.py │ │ │ └── unet_2d_condition.py │ │ └── ref_attn_clip_combine_controlnet_imgspecific_ft │ │ │ ├── controlnet.py │ │ │ ├── controlnet_main.py │ │ │ ├── net.py │ │ │ ├── net_lora.py │ │ │ ├── tiktok_S256L16_xformers_tsv.py │ │ │ ├── unet_2d_condition.py │ │ │ ├── web_S256L16_xformers.py │ │ │ ├── web_S256L16_xformers_lora_upsquare.py │ │ │ └── webtan_S256L16_xformers_upsquare.py │ ├── dataset │ │ ├── app_demo_human_image_edit_singleinput.py │ │ ├── coco_controlnet_t2i_imagevar_combine_tsv.py │ │ ├── coco_controlnet_t2i_imagevar_combine_tsv_strongrand.py │ │ ├── data_sampler.py │ │ ├── data_utils │ │ │ ├── albef_randaug.py │ │ │ ├── node_sampler.py │ │ │ ├── sampler_utils.py │ │ │ ├── video_functional.py │ │ │ └── video_transforms.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_imagefolder.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_mask.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_specifcimg.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_specifcimg_web.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_specifcimg_web_upsquare.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_tsv.py │ │ ├── tiktok_controlnet_t2i_imagevar_combine_tsv_strongaug.py │ │ ├── tiktok_video_dataset.py │ │ ├── tsv_cond_dataset.py │ │ └── tsv_dataset.py │ ├── eval_animal.sh │ ├── eval_fvd │ │ └── requirements.txt │ ├── eval_tiktok.sh │ ├── finetune_sdm_yaml.py │ ├── human_img_edit_gradio.ipynb │ ├── requirements.txt │ ├── summary.py │ ├── tool │ │ ├── ClipScore.py │ │ ├── cleanfid │ │ │ ├── __init__.py │ │ │ ├── downloads_helper.py │ │ │ ├── features.py │ │ │ ├── fid.py │ │ │ ├── inception_pytorch.py │ │ │ ├── inception_torchscript.py │ │ │ ├── leaderboard.py │ │ │ ├── resize.py │ │ │ └── utils.py │ │ ├── inception_score.py │ │ ├── merge_subfolder.py │ │ ├── metrics │ │ │ ├── __init__.py │ │ │ ├── downloads_helper.py │ │ │ ├── features.py │ │ │ ├── fid.py │ │ │ ├── inception3d.py │ │ │ ├── inception_pytorch.py │ │ │ ├── inception_torchscript.py │ │ │ ├── leaderboard.py │ │ │ ├── metric_center.py │ │ │ ├── readme.md │ │ │ ├── resize.py │ │ │ ├── resnet3d.py │ │ │ ├── ssim_l1_lpips_psnr.py │ │ │ └── utils.py │ │ ├── prepare.py │ │ ├── test_SD2 │ │ └── video │ │ │ ├── gen_gifs_for_fvd.py │ │ │ ├── gen_vid.py │ │ │ ├── gen_vid_command.py │ │ │ ├── gen_vid_folder.py │ │ │ ├── reencode_vid_folder_forvis.py │ │ │ ├── runsh │ │ │ ├── process_video.sh │ │ │ └── process_video_demo.sh │ │ │ ├── yz_gen_gifs_for_fvd_subfolders.py │ │ │ ├── yz_gen_vid.py │ │ │ └── yz_gen_vid_subfolders.py │ └── utils │ │ ├── args.py │ │ ├── basic_utils.py │ │ ├── cloud_storage.py │ │ ├── common.py │ │ ├── db.py │ │ ├── deepspeed.py │ │ ├── dist.py │ │ ├── lib.py │ │ ├── load_files.py │ │ ├── load_save.py │ │ ├── logger.py │ │ ├── metric_logger.py │ │ ├── misc.py │ │ ├── process_image.py │ │ ├── process_tsv.py │ │ ├── taxonomy.py │ │ ├── tsv_file.py │ │ ├── tsv_file_ops.py │ │ ├── tsv_io.py │ │ ├── wutils.py │ │ └── wutils_ldm.py ├── download_benchmark.py ├── prepare_eval_frames_cartoon.py └── prepare_eval_frames_tiktok.py ├── checkpoints └── download_checkpoints.py ├── datasets ├── download_datasets.py ├── prepare_pose_pool.py ├── prepare_training_data.py └── setup_datasets.sh ├── examples ├── douyinvid5_v2.mp4 ├── img.png ├── joker2_resize.png ├── maodie.png ├── musk.jpg ├── new_examples │ ├── 1.png │ ├── 2.png │ ├── 3.png │ └── motion1.mp4 ├── vid.mp4 └── vid2.mp4 ├── pretrained_models └── download_pretrained_models.py ├── requirements.txt └── video-generation ├── configs ├── cogvideo_1_5_5B.json ├── cogvideo_1_5_5B_i2v.json ├── cogvideo_2B.json ├── cogvideo_5B.json ├── cogvideo_controlnet.json ├── cogvideo_i2v_1_5_5B.json ├── cogvideo_i2v_5B.json ├── config.json ├── flux_2B.json ├── hunyuan_i2v.json ├── hunyuan_i2v_controlnet.json ├── hunyuan_i2v_end2end.json ├── hunyuan_i2v_official.json ├── hunyuan_ipadapter.json ├── hunyuan_t2v.json ├── hunyuan_t2v_controlnet.json ├── hunyuan_t2v_controlnet_restore2_exclude.json ├── hunyuan_t2v_refextractor.json ├── hunyuan_t2v_refextractor2.json ├── hunyuan_t2v_refextractor2_2d.json ├── hunyuan_t2v_refextractor3.json ├── hunyuan_t2v_refextractor_double2.json ├── hunyuan_t2v_refextractor_double2_2d.json ├── hunyuan_t2v_refextractor_small2.json ├── minihunyuan_config.json ├── mochi_10B.json ├── mochi_5B.json ├── wan2.1_i2v_14b.json ├── wan2.1_i2v_14b_controlnet_dropmask.json ├── wan2.1_i2v_14b_dropmask.json ├── wan2.1_t2v_1.3b.json ├── wan2.1_t2v_1.3b_controlnet_2.json ├── wan2.1_t2v_1.3b_refextractor_2d.json ├── wan2.1_t2v_1.3b_refextractor_2d_withmask2.json ├── wan2.1_t2v_14b.json ├── wan2.1_t2v_14b_controlnet_1.json ├── wan2.1_t2v_14b_refextractor_2d.json ├── wan2.1_t2v_14b_refextractor_2d_small.json └── wan2.1_t2v_14b_refextractor_2d_withmask2.json ├── dwpose_utils ├── __init__.py ├── dwpose_detector.py ├── onnxdet.py ├── onnxpose.py ├── util.py └── wholebody.py ├── infer_function.py ├── infer_preprocess.py ├── infer_utils.py ├── inference_1.3b.py ├── inference_14b.py ├── inference_refextractor.py ├── opensora ├── __init__.py ├── acceleration │ ├── __init__.py │ ├── communications.py │ └── parallel_states.py ├── adaptor │ ├── __init__.py │ ├── bf16_optimizer.py │ ├── engine.py │ ├── modules.py │ ├── stage_1_and_2.py │ ├── utils.py │ └── zp_manager.py ├── controlnet_modules │ ├── __init__.py │ └── controlnet.py ├── dataset │ ├── __init__.py │ ├── bodydance_dataset_3.py │ ├── bodydance_dataset_refmask.py │ ├── motion_trajectory_datasets.py │ ├── t2v_multires_datasets.py │ ├── transform.py │ └── utils.py ├── encoder_variants │ ├── __init__.py │ ├── hunyuan.py │ ├── hunyuan_i2v.py │ ├── t5.py │ ├── wanx_i2v.py │ └── wanx_t2v.py ├── eval │ ├── cal_flolpips.py │ ├── cal_fvd.py │ ├── cal_lpips.py │ ├── cal_psnr.py │ ├── cal_ssim.py │ ├── eval_clip_score.py │ ├── eval_common_metric.py │ ├── flolpips │ │ ├── correlation │ │ │ └── correlation.py │ │ ├── flolpips.py │ │ ├── pretrained_networks.py │ │ ├── pwcnet.py │ │ └── utils.py │ ├── fvd │ │ ├── styleganv │ │ │ └── fvd.py │ │ └── videogpt │ │ │ ├── fvd.py │ │ │ └── pytorch_i3d.py │ └── script │ │ ├── cal_clip_score.sh │ │ ├── cal_fvd.sh │ │ ├── cal_lpips.sh │ │ ├── cal_psnr.sh │ │ └── cal_ssim.sh ├── flux_modules │ ├── __init__.py │ ├── controlnet_flux.py │ ├── flux.py │ ├── modeling_embedding.py │ ├── modeling_flux_block.py │ ├── modeling_normalization.py │ ├── modeling_pyramid_flux.py │ └── modeling_text_encoder.py ├── model_variants │ ├── __init__.py │ ├── activations.py │ ├── attention.py │ ├── attention_processor.py │ ├── cogvideo_controlnet.py │ ├── embeddings.py │ ├── hunyuan_dit_i2v_src │ │ ├── __init__.py │ │ ├── activation_layers.py │ │ ├── attenion.py │ │ ├── embed_layers.py │ │ ├── fp8_optimization.py │ │ ├── mlp_layers.py │ │ ├── models.py │ │ ├── modulate_layers.py │ │ ├── norm_layers.py │ │ ├── posemb_layers.py │ │ ├── token_refiner.py │ │ └── utils.py │ ├── hunyuan_dit_src │ │ ├── __init__.py │ │ ├── activation_layers.py │ │ ├── attenion.py │ │ ├── controlnet.py │ │ ├── embed_layers.py │ │ ├── ipablocks.py │ │ ├── ipablocks_v3.py │ │ ├── ipablocks_v3_split_q.py │ │ ├── ipadapter.py │ │ ├── mlp_layers.py │ │ ├── models.py │ │ ├── models_end2end.py │ │ ├── models_ref.py │ │ ├── models_refextractor.py │ │ ├── models_refextractor_2d.py │ │ ├── models_refextractor_2d_split_q.py │ │ ├── models_reftokenmerge.py │ │ ├── models_textfree.py │ │ ├── modulate_layers.py │ │ ├── norm_layers.py │ │ ├── posemb_layers.py │ │ ├── refblocks.py │ │ ├── refextractor.py │ │ ├── refextractor_2d.py │ │ ├── refextractor_2d_split_q.py │ │ ├── token_refiner.py │ │ └── utils.py │ ├── layernorm.py │ ├── mochi_attn_imports.py │ ├── mochi_cp.py │ ├── mochi_layers.py │ ├── mochi_utils.py │ ├── models_i2v_txt_free.py │ ├── normalization.py │ ├── transformer_cogvideo.py │ ├── transformer_flux.py │ ├── transformer_mochi.py │ ├── transformer_mochi_2.py │ └── wanx_diffusers_src │ │ ├── __init__.py │ │ ├── activations.py │ │ ├── attention.py │ │ ├── attention_processor.py │ │ ├── controlnet.py │ │ ├── controlnet_free.py │ │ ├── controlnet_ref.py │ │ ├── controlnet_ref2.py │ │ ├── embeddings.py │ │ ├── normalization.py │ │ ├── refextractor.py │ │ ├── refextractor_2d.py │ │ ├── transformer_wan.py │ │ ├── transformer_wan_controlnet.py │ │ ├── transformer_wan_pose.py │ │ ├── transformer_wan_refextractor.py │ │ ├── transformer_wan_refextractor_2d.py │ │ ├── transformer_wan_refextractor_2d_controlnet_last_prefix.py │ │ ├── transformer_wan_refextractor_2d_pose.py │ │ ├── transformer_wan_refextractor_2d_pose_last.py │ │ ├── transformer_wan_refextractor_2d_split_q.py │ │ ├── transformer_wan_refextractor_2d_split_q_pose.py │ │ ├── transformer_wan_refextractor_controlnet.py │ │ └── utils.py ├── models │ ├── __init__.py │ ├── causalvideovae │ │ ├── __init__.py │ │ ├── dataset │ │ │ ├── __init__.py │ │ │ ├── feature_datasets.py │ │ │ ├── t2v_datasets.py │ │ │ ├── transform.py │ │ │ └── ucf101.py │ │ ├── eval │ │ │ ├── cal_flolpips.py │ │ │ ├── cal_fvd.py │ │ │ ├── cal_lpips.py │ │ │ ├── cal_psnr.py │ │ │ ├── cal_ssim.py │ │ │ ├── eval_clip_score.py │ │ │ ├── eval_common_metric.py │ │ │ ├── flolpips │ │ │ │ ├── correlation │ │ │ │ │ └── correlation.py │ │ │ │ ├── flolpips.py │ │ │ │ ├── pretrained_networks.py │ │ │ │ ├── pwcnet.py │ │ │ │ └── utils.py │ │ │ ├── fvd │ │ │ │ ├── styleganv │ │ │ │ │ └── fvd.py │ │ │ │ └── videogpt │ │ │ │ │ ├── fvd.py │ │ │ │ │ └── pytorch_i3d.py │ │ │ └── script │ │ │ │ ├── cal_clip_score.sh │ │ │ │ ├── cal_fvd.sh │ │ │ │ ├── cal_lpips.sh │ │ │ │ ├── cal_psnr.sh │ │ │ │ └── cal_ssim.sh │ │ ├── model │ │ │ ├── __init__.py │ │ │ ├── causal_vae │ │ │ │ ├── __init__.py │ │ │ │ └── modeling_causalvae.py │ │ │ ├── configuration_videobase.py │ │ │ ├── dataset_videobase.py │ │ │ ├── ema_model.py │ │ │ ├── losses │ │ │ │ ├── __init__.py │ │ │ │ ├── discriminator.py │ │ │ │ ├── lpips.py │ │ │ │ └── perceptual_loss.py │ │ │ ├── modeling_videobase.py │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── block.py │ │ │ │ ├── conv.py │ │ │ │ ├── normalize.py │ │ │ │ ├── ops.py │ │ │ │ ├── quant.py │ │ │ │ ├── resnet_block.py │ │ │ │ └── updownsample.py │ │ │ ├── trainer_videobase.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ ├── distrib_utils.py │ │ │ │ ├── module_utils.py │ │ │ │ ├── scheduler_utils.py │ │ │ │ └── video_utils.py │ │ ├── sample │ │ │ └── rec_video_vae.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── dataset_utils.py │ │ │ ├── downloader.py │ │ │ └── utils.py │ ├── diffusion │ │ ├── __init__.py │ │ ├── opensora │ │ │ ├── __init__.py │ │ │ ├── modeling_opensora.py │ │ │ ├── modeling_opensora_2.py │ │ │ ├── modules.py │ │ │ └── rope.py │ │ ├── udit │ │ │ ├── modeling_udit.py │ │ │ ├── modules.py │ │ │ └── rope.py │ │ └── utils │ │ │ ├── curope │ │ │ ├── __init__.py │ │ │ ├── curope.cpp │ │ │ ├── curope2d.py │ │ │ ├── kernels.cu │ │ │ └── setup.py │ │ │ ├── pos_embed.py │ │ │ └── transport │ │ │ ├── __init__.py │ │ │ ├── integrators.py │ │ │ ├── path.py │ │ │ ├── transport.py │ │ │ └── utils.py │ ├── frame_interpolation │ │ ├── cfgs │ │ │ └── AMT-G.yaml │ │ ├── interpolation.py │ │ ├── networks │ │ │ ├── AMT-G.py │ │ │ ├── __init__.py │ │ │ └── blocks │ │ │ │ ├── __init__.py │ │ │ │ ├── feat_enc.py │ │ │ │ ├── ifrnet.py │ │ │ │ ├── multi_flow.py │ │ │ │ └── raft.py │ │ ├── readme.md │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── build_utils.py │ │ │ ├── dist_utils.py │ │ │ ├── flow_utils.py │ │ │ └── utils.py │ ├── super_resolution │ │ ├── README.md │ │ ├── basicsr │ │ │ ├── __init__.py │ │ │ ├── archs │ │ │ │ ├── __init__.py │ │ │ │ ├── arch_util.py │ │ │ │ ├── rgt_arch.py │ │ │ │ └── vgg_arch.py │ │ │ ├── data │ │ │ │ ├── __init__.py │ │ │ │ ├── data_sampler.py │ │ │ │ ├── data_util.py │ │ │ │ ├── paired_image_dataset.py │ │ │ │ ├── prefetch_dataloader.py │ │ │ │ ├── single_image_dataset.py │ │ │ │ └── transforms.py │ │ │ ├── losses │ │ │ │ ├── __init__.py │ │ │ │ ├── loss_util.py │ │ │ │ └── losses.py │ │ │ ├── metrics │ │ │ │ ├── __init__.py │ │ │ │ ├── metric_util.py │ │ │ │ └── psnr_ssim.py │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── base_model.py │ │ │ │ ├── lr_scheduler.py │ │ │ │ ├── rgt_model.py │ │ │ │ └── sr_model.py │ │ │ ├── test_img.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ ├── dist_util.py │ │ │ │ ├── file_client.py │ │ │ │ ├── img_util.py │ │ │ │ ├── logger.py │ │ │ │ ├── matlab_functions.py │ │ │ │ ├── misc.py │ │ │ │ ├── options.py │ │ │ │ └── registry.py │ │ ├── options │ │ │ └── test │ │ │ │ ├── test_RGT_x2.yml │ │ │ │ ├── test_RGT_x4.yml │ │ │ │ └── test_single_config.yml │ │ └── run.py │ └── text_encoder │ │ ├── __init__.py │ │ ├── clip.py │ │ └── t5.py ├── npu_config.py ├── pyramid_dit │ ├── __init__.py │ ├── modeling_embedding.py │ ├── modeling_mmdit_block.py │ ├── modeling_normalization.py │ ├── modeling_pyramid_mmdit.py │ ├── modeling_text_encoder.py │ └── pyramid_dit_for_video_gen_pipeline.py ├── sample │ ├── flow_matching_scheduler.py │ ├── flow_matching_scheduler_hunyuan.py │ ├── pipeline_arpf.py │ ├── pipeline_cogvideo.py │ ├── pipeline_cogvideo_i2v.py │ ├── pipeline_cogvideo_i2v_controlnet.py │ ├── pipeline_hunyuan.py │ ├── pipeline_hunyuan_controlnet.py │ ├── pipeline_hunyuan_i2v_official.py │ ├── pipeline_mochi.py │ ├── pipeline_mochi_pf.py │ ├── pipeline_opensora.py │ ├── pipeline_opensora_EDM.py │ ├── pipeline_opensora_pf.py │ ├── pipeline_opensora_sp.py │ ├── pipeline_wanx_i2v.py │ ├── pipeline_wanx_t2v.py │ ├── pipeline_wanx_vhuman.py │ ├── pipeline_wanx_vhuman_tokenreplace.py │ ├── pyramid_flow_matching_scheduler.py │ ├── sample_inpaint_on_npu.py │ ├── sample_t2v.py │ ├── sample_t2v_cogvideo.py │ ├── sample_t2v_ddp.py │ ├── sample_t2v_on_npu.py │ ├── sample_t2v_sp.py │ ├── sample_t2v_sp_edm.py │ └── sample_t2v_sp_on_npu.py ├── serve │ ├── gradio_utils.py │ ├── gradio_web_server.py │ └── style.css ├── train │ ├── accelerate_trainer.py │ ├── building_blocks.py │ ├── diffusion.py │ ├── edm.py │ ├── options.py │ ├── train.py │ ├── train_causalvae.py │ ├── train_contolnet.py │ ├── train_t2v.py │ ├── train_t2v_diffusers.py │ ├── train_t2v_diffusers_reflow.py │ ├── train_t2v_multires_diffusers.py │ ├── train_t2v_pyramid_flow.py │ ├── validation.py │ └── wanx_train │ │ ├── train_wanx_only_refextractor_mask2.py │ │ └── train_wanx_refextractor_mask2_controlnet2.py ├── trainer_misc │ ├── __init__.py │ ├── communicate.py │ ├── sp_utils.py │ └── utils.py ├── utils │ ├── MultiResolutionSampler.py │ ├── aspect.py │ ├── bucket.py │ ├── communications.py │ ├── dataset_utils.py │ ├── downloader.py │ ├── lora_utils.py │ ├── parallel_states.py │ └── utils.py ├── vae_variants │ ├── __init__.py │ ├── cogvideo_vae.py │ ├── hunyuan_vae.py │ ├── hunyuan_vae_src │ │ ├── __init__.py │ │ ├── autoencoder_kl_causal_3d.py │ │ ├── unet_causal_3d_blocks.py │ │ └── vae.py │ ├── mochi_vae.py │ ├── mochi_vae_2.py │ ├── pyramid_flow_vae.py │ ├── wanx_vae.py │ └── wrapper.py └── video_vae │ ├── __init__.py │ ├── context_parallel_ops.py │ ├── modeling_block.py │ ├── modeling_causal_conv.py │ ├── modeling_causal_vae.py │ ├── modeling_discriminator.py │ ├── modeling_enc_dec.py │ ├── modeling_loss.py │ ├── modeling_lpips.py │ ├── modeling_resnet.py │ └── utils.py ├── reproduce ├── infer_preprocess.py ├── inference_cartoon1.3b.py ├── inference_cartoon14b.py ├── inference_tiktok1.3b.py └── inference_tiktok14b.py ├── scripts ├── accelerate_configs │ ├── ddp_config.yaml │ ├── deepspeed_zero2_config.yaml │ ├── deepspeed_zero2_offload_config.yaml │ ├── deepspeed_zero3_config.yaml │ ├── deepspeed_zero3_offload_config.yaml │ ├── default_config.yaml │ ├── hk_multinode_config.yaml │ ├── hostfile │ ├── multi_node_example.yaml │ ├── multi_node_example_by_ddp.yaml │ ├── zero2.json │ ├── zero2_npu.json │ ├── zero2_offload.json │ ├── zero3.json │ └── zero3_offload.json ├── causalvae │ ├── eval.sh │ └── rec_image.sh ├── slurm │ └── placeholder ├── text_condition │ ├── gpu │ │ ├── sample_t2v.sh │ │ ├── sample_t2v_ddp.sh │ │ ├── sample_t2v_sp.sh │ │ ├── train_t2v_cogvideo_8node.sh │ │ └── train_t2v_debug.sh │ └── npu │ │ ├── sample_inpaint.sh │ │ ├── train_image3d_480p.sh │ │ ├── train_image3d_720p.sh │ │ ├── train_inpaint_video3d_nx480p.sh │ │ ├── train_video3d_nx480p.sh │ │ ├── train_video3d_nx720p.sh │ │ ├── train_video3d_sp_nx480p.sh │ │ └── train_video3d_sp_nx720p.sh └── train_data │ ├── merge_data.txt │ └── merge_data_on_npu.txt ├── training_scripts ├── train1.3b_only_refextractor_2d.sh ├── train1.3b_posecontrol_prefix_2d.sh ├── train1.3b_posecontrol_prefix_2d_tokenreplace.sh ├── train14b_only_refextractor_2d.sh ├── train14b_posecontrol_prefix_2d.sh └── train14b_posecontrol_prefix_2d_tokenreplace.sh ├── unit_test ├── check_data_paths.py ├── default_config.py ├── default_config.yaml ├── get_image_info.py ├── io_utils.py ├── prompt_cleaning.py ├── speed_test.py └── test_hunyuan_lora.py └── 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