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+testsets_video_results/Ours[[:space:]](w-o[[:space:]]Contrastive[[:space:]]Pretraining)/gKR_sBM_c01_d30_mKR2_ch02_1_baseline-400k.mp4 filter=lfs diff=lfs merge=lfs -text +testsets_video_results/Ours[[:space:]](w-o[[:space:]]Contrastive[[:space:]]Pretraining)/gKR_sBM_c01_d30_mKR2_ch02_2_baseline-400k.mp4 filter=lfs diff=lfs merge=lfs -text +testsets_video_results/Ours[[:space:]](w-o[[:space:]]Contrastive[[:space:]]Pretraining)/gLH_sBM_c01_d17_mLH4_ch02_1_baseline-400k.mp4 filter=lfs diff=lfs merge=lfs -text +testsets_video_results/Ours[[:space:]](w-o[[:space:]]Contrastive[[:space:]]Pretraining)/gLH_sBM_c01_d17_mLH4_ch02_2_baseline-400k.mp4 filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md index 3d0d8f181616e2e36fd92cf9d5ffe3b8a73b873a..383dd0c6ae20d458eee628e3ad91e49a4bce7081 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ tags: # AudioLDM-ControlNet -Official model checkpoint for the paper: +Official checkpoints and evaluation artifacts for the paper: **Dance to Music Generation leveraging Pre-training with Unpaired data and Contrastive Alignment** @@ -30,22 +30,82 @@ AudioLDM-ControlNet is a dance-conditioned music generation model. It combines: 2. beat-guided contrastive pretraining for cross-modal alignment, and 3. a ControlNet-style conditioning module built on an AudioLDM backbone. -The released checkpoint corresponds to the **full model** reported in the paper. +This repository includes the **full model**, the **w/o MotionBERT** checkpoint, +and the complete artifact collection previously shared on +[Google Drive](https://drive.google.com/drive/folders/1rhDqPitcFlthedr5vS6kG2PoNO_PW2it?usp=sharing). ## Repository Contents -The following files are stored in the root of this model repository: +The original Google Drive directory structure is preserved under `models/` and +`testsets_video_results/`. Only macOS `.DS_Store` metadata files are omitted. -| File | Description | +| Path | Contents | | --- | --- | -| `checkpoint-global_step=299999.ckpt` | Full AudioLDM-ControlNet model checkpoint at training step 299999 | -| `audioldm_original_medium_stretch_pretrained.yaml` | Model and preprocessing configuration corresponding to the checkpoint | +| [`models/full/`](tree/main/models/full) | Full-model checkpoint, YAML configuration, 36 generated WAV files and `metrics.txt` in `300ksteps/`, and the original W&B training run in `wandb/` | +| [`models/without_motioinbert/`](tree/main/models/without_motioinbert) | w/o MotionBERT checkpoint, YAML configuration, and 36 generated WAV files and `metrics.txt` in `300ksteps/` | +| [`testsets_video_results/`](tree/main/testsets_video_results) | 216 MP4 comparison videos: 36 clips for each of the six conditions listed below | +| `checkpoint-global_step=299999.ckpt` | Original root-level full-model checkpoint, retained for existing download links | +| `audioldm_original_medium_stretch_pretrained.yaml` | Original root-level full-model configuration, retained for existing download links | + +The spelling `without_motioinbert` is retained from the original archive. +The root-level checkpoint and configuration are identical to their counterparts +under `models/full/`. + +Both checkpoints are named `checkpoint-global_step=299999.ckpt` and are stored +in their respective variant's `checkpoints/` directory. The matching +configurations are: + +- Full model: `models/full/audioldm_original_medium_stretch_pretrained.yaml` +- w/o MotionBERT: `models/without_motioinbert/audioldm_original_medium_stretch_wo_mb.yaml` + +The six video folders are `AudioLDM (default)`, `Ground Truth`, `Li et al.`, +`Ours`, `Ours (w-o Contrastive Pretraining)`, and `Ours (w-o MotionBERT)`. +The w/o Contrastive Pretraining variant is represented by comparison videos; +a checkpoint for that variant was not included in the Google Drive archive. + +## Download and Use + +Install the Hugging Face CLI if needed: + +```bash +pip install -U huggingface_hub +``` + +Download the complete archived collection (approximately 16.5 GB), preserving +its directory structure and avoiding a second local copy of the root checkpoint: + +```bash +hf download kmraven/AudioLDM-ControlNet \ + --include "models/*" --include "testsets_video_results/*" \ + --local-dir data/releases/AudioLDM-ControlNet +``` + +To download only the full-model checkpoint and configuration: + +```bash +hf download kmraven/AudioLDM-ControlNet \ + "models/full/checkpoints/checkpoint-global_step=299999.ckpt" \ + "models/full/audioldm_original_medium_stretch_pretrained.yaml" \ + --local-dir data/releases/AudioLDM-ControlNet +``` + +Run preprocessing and evaluation with the +[official source code and setup instructions](https://github.com/kmraven/AudioLDM-ControlNet#data-and-checkpoints). +These are project-specific PyTorch Lightning checkpoints; use the repository's +evaluation scripts. The archived YAML files preserve the original training +settings and relative paths. Dataset inputs and separately referenced upstream +weights must be prepared as described in the source repository. The archive +does not include a standalone Stage 1 `model_best.pth` checkpoint. + +Exact training resume, including optimizer state and global step, may be +incompatible with the refactored modules. If exact resume fails, the source +repository recommends commit `0c1f4e3197a7c339586ce5769c6a4510dfbc6f30`. ## Checkpoint Details - Framework: PyTorch / PyTorch Lightning - Checkpoint format: `.ckpt` -- Paper variant: Full model +- Paper variants with checkpoints: Full model and w/o MotionBERT - Training step: 299999 - Audio sampling rate: 16 kHz - Motion input frame rate: 60 FPS diff --git a/models/full/300ksteps/gBR_sBM_c01_d04_mBR0_ch02_1.wav b/models/full/300ksteps/gBR_sBM_c01_d04_mBR0_ch02_1.wav new file mode 100644 index 0000000000000000000000000000000000000000..6c7d7d370ead83c0713e1237629b432223c582d4 --- /dev/null +++ b/models/full/300ksteps/gBR_sBM_c01_d04_mBR0_ch02_1.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1ae0bb99428a8105c48285cc5d5f5a3d66963922259d63b1722172a17bc4e8f +size 163948 diff --git a/models/full/300ksteps/gBR_sBM_c01_d04_mBR0_ch02_2.wav b/models/full/300ksteps/gBR_sBM_c01_d04_mBR0_ch02_2.wav new file mode 100644 index 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diff --git a/models/full/300ksteps/metrics.txt b/models/full/300ksteps/metrics.txt new file mode 100644 index 0000000000000000000000000000000000000000..29330ed2ecd4035cd9f51895d7ec558fbdf0841a --- /dev/null +++ b/models/full/300ksteps/metrics.txt @@ -0,0 +1,6 @@ +frechet_audio_distance: 4.5603623 +beat_coverage_score: 0.5098538 +beat_hit_score: 0.5345641 +f1_score: 0.3856068 +tempo_difference: 20.6619472 +clap_score: 0.6812113 \ No newline at end of file diff --git a/models/full/audioldm_original_medium_stretch_pretrained.yaml b/models/full/audioldm_original_medium_stretch_pretrained.yaml new file mode 100644 index 0000000000000000000000000000000000000000..49695e8fcd3fccda576b851c9b19d9b01737efc5 --- /dev/null +++ b/models/full/audioldm_original_medium_stretch_pretrained.yaml @@ -0,0 +1,207 @@ +metadata_root: "./data/dataset/metadata/dataset_root.json" +log_directory: "./log/latent_diffusion_controlnet_beatdance" +project: "audioldm_controlnet" +precision: "high" + +variables: + sampling_rate: &sampling_rate 16000 + mel_bins: &mel_bins 64 + latent_embed_dim: &latent_embed_dim 8 # TODO might need to change + latent_t_size: &latent_t_size 128 # TODO might need to change + latent_f_size: &latent_f_size 16 + in_channels: &unet_in_channels 8 # The input channel of the UNet model + model_channels: &unet_model_channels 192 + optimize_ddpm_parameter: &optimize_ddpm_parameter true + optimize_gpt: &optimize_gpt true + warmup_steps: &warmup_steps 2000 + default_unet_params: &default_unet_params + image_size: 64 + extra_film_condition_dim: 512 # If you use film as extra condition, set this parameter. For example if you have two conditioning vectors each have dimension 512, then this number would be 1024 + # context_dim: + # - 768 + in_channels: *unet_in_channels + out_channels: *latent_embed_dim + model_channels: *unet_model_channels + attention_resolutions: + - 8 + - 4 + - 2 + num_res_blocks: 2 + channel_mult: + - 1 + - 2 + - 3 + - 5 + num_head_channels: 32 + use_spatial_transformer: true + transformer_depth: 1 + extra_sa_layer: False + +data: + train: ["aist"] + val: "aist" + test: "aist" + class_label_indices: "" + dataloader_add_ons: [] + +step: + validation_every_n_epochs: 10 + save_checkpoint_every_n_steps: 10000 + # limit_val_batches: 2 + max_steps: 1000000 + save_top_k: 1 + +preprocessing: + audio: + sampling_rate: *sampling_rate + max_wav_value: 32768.0 + duration: 5.12 + stft: + filter_length: 1024 + hop_length: 160 + win_length: 1024 + mel: + n_mel_channels: *mel_bins + mel_fmin: 0 + mel_fmax: 8000 + # added for dance-controlnet + strech_augmentation: + additional_strech_rate: 0.2 + stretch_prob: 0.7 + motion: + target_length: *latent_t_size + camera_height: 1080 + camera_width: 1920 + scale_range_train: [1, 3] + scale_range_test: [2, 2] + fps_keypoints: 60 + beat_dim: 2 + +augmentation: + mixup: 0.0 + +model: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlLDM + params: + # Autoencoder + first_stage_config: + base_learning_rate: 8.0e-06 + target: audioldm_train.modules.latent_encoder.autoencoder.AutoencoderKL + params: + reload_from_ckpt: "data/checkpoints/vae_mel_16k_64bins.ckpt" + sampling_rate: *sampling_rate + batchsize: 8 + monitor: val/rec_loss + image_key: fbank + subband: 1 + embed_dim: *latent_embed_dim + time_shuffle: 1 + lossconfig: + target: audioldm_train.losses.LPIPSWithDiscriminator + params: + disc_start: 50001 + kl_weight: 1000.0 + disc_weight: 0.5 + disc_in_channels: 1 + ddconfig: + double_z: true + mel_bins: *mel_bins # The frequency bins of mel spectrogram + z_channels: 8 + resolution: 256 + downsample_time: false + in_channels: 1 + out_ch: 1 + ch: 128 + ch_mult: + - 1 + - 2 + - 4 + num_res_blocks: 2 + attn_resolutions: [] + dropout: 0.0 + # Other parameters + base_learning_rate: 1.0e-4 + warmup_steps: *warmup_steps + optimize_ddpm_parameter: *optimize_ddpm_parameter + sampling_rate: *sampling_rate + batchsize: 8 + linear_start: 0.0015 + linear_end: 0.0195 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + unconditional_prob_cfg: 0.1 + parameterization: eps # [eps, x0, v] + first_stage_key: fbank + latent_t_size: *latent_t_size # TODO might need to change + latent_f_size: *latent_f_size + channels: *latent_embed_dim # TODO might need to change + monitor: val/loss_simple_ema + scale_by_std: true + unet_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlledUnetModel + params: + <<: *default_unet_params + cond_stage_config: + film_clap_cond1: + cond_stage_key: text + conditioning_key: film + target: audioldm_train.conditional_models.CLAPAudioEmbeddingClassifierFreev2 + params: + pretrained_path: data/checkpoints/clap_music_speech_audioset_epoch_15_esc_89.98.pt + sampling_rate: 16000 + embed_mode: text # or text + amodel: HTSAT-base + # added for ControlNet + controlnet_stage_config: + dance_controlnet: + controlnet_stage_key: motion + target: audioldm_train.modules.latent_diffusion.dance_controlnet.DanceControlNetWrapper + params: + feature_encoder_config: + target: audioldm_train.modules.motion_encoder.encoder.BeatDanceEncoderWrapper + params: + motion_bert_config: + target: audioldm_train.modules.motion_encoder.MotionBERT.DSTformer.DSTformerWrapper + params: + dim_in: 3 + dim_out: 3 + dim_feat: 512 # default value: intermediate representation + dim_rep: &dim_rep 512 # default value + depth: 5 # default value + num_heads: 8 # default value + mlp_ratio: 2 # default value + maxlen: 243 # default value + num_joints: &num_joints 17 + motion_bert_pretrained_weights_path: data/checkpoints/latest_epoch.bin + feature_mapper_config: + target: audioldm_train.modules.motion_encoder.encoder.MotionBERT2BeatDance2AudioLDMEncoder + params: + kpt_num_joints: *num_joints + kpt_feat_dim: *dim_rep + audio_channels: *unet_model_channels + audio_freq: *latent_f_size + beatdance_output_dim: &beatdance_output_dim 256 + beatdance_config: + target: BeatDance.model.clip_transformer.DanceOnlyBeatDanceWrapper + params: + beatdance_config_path: audioldm_train/config/2025_11_23_dance_controlnet_beatdance/aist_seg10_L10.json + kpt_num_joints: *num_joints + kpt_feat_dim: *dim_rep + beat_dim: 2 + beatdance_output_dim: *beatdance_output_dim + num_frames: *latent_t_size + beatdance_pretrained_weights_path: data/checkpoints/model_best.pth + freeze_beatdance: false + controlnet_model_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlNet + params: + <<: *default_unet_params + evaluation_params: + unconditional_guidance_scale: 3.5 + ddim_sampling_steps: 200 + n_candidates_per_samples: 3 + evaluator_config: + target: audioldm_train.metrics.eval.ControlNetEvaluationHelper + params: + sampling_rate: *sampling_rate diff --git a/models/full/checkpoints/checkpoint-global_step=299999.ckpt b/models/full/checkpoints/checkpoint-global_step=299999.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..c32e6e210de97a21c16cd83693b45c950236a9da --- /dev/null +++ b/models/full/checkpoints/checkpoint-global_step=299999.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5673a101b25cc2d3e3b218574dcedf2a0fc9a8263e4d7363bab0001f7d28b239 +size 8031577085 diff --git a/models/full/wandb/run-20251202_121332-lc8aneeb/files/conda-environment.yaml b/models/full/wandb/run-20251202_121332-lc8aneeb/files/conda-environment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..88bca13b03ef98e374b0e52da720bd40930d3923 --- /dev/null +++ b/models/full/wandb/run-20251202_121332-lc8aneeb/files/conda-environment.yaml @@ -0,0 +1,193 @@ +name: audioldm_train +channels: + - defaults +dependencies: + - _libgcc_mutex=0.1=main + - _openmp_mutex=5.1=1_gnu + - bzip2=1.0.8=h5eee18b_6 + - ca-certificates=2025.11.4=h06a4308_0 + - expat=2.7.3=h3385a95_0 + - ld_impl_linux-64=2.44=h153f514_2 + - libffi=3.4.4=h6a678d5_1 + - libgcc=15.2.0=h69a1729_7 + - libgcc-ng=15.2.0=h166f726_7 + - libgomp=15.2.0=h4751f2c_7 + - libnsl=2.0.0=h5eee18b_0 + - libstdcxx=15.2.0=h39759b7_7 + - libstdcxx-ng=15.2.0=hc03a8fd_7 + - libuuid=1.41.5=h5eee18b_0 + - libxcb=1.17.0=h9b100fa_0 + - libzlib=1.3.1=hb25bd0a_0 + - ncurses=6.5=h7934f7d_0 + - openssl=3.0.18=hd6dcaed_0 + - pip=25.2=pyhc872135_1 + - pthread-stubs=0.3=h0ce48e5_1 + - python=3.10.19=h6fa692b_0 + - readline=8.3=hc2a1206_0 + - sqlite=3.51.0=h2a70700_0 + - tk=8.6.15=h54e0aa7_0 + - xorg-libx11=1.8.12=h9b100fa_1 + - xorg-libxau=1.0.12=h9b100fa_0 + - xorg-libxdmcp=1.1.5=h9b100fa_0 + - xorg-xorgproto=2024.1=h5eee18b_1 + - xz=5.6.4=h5eee18b_1 + - zlib=1.3.1=hb25bd0a_0 + - pip: + - absl-py==2.0.0 + - aiohttp==3.8.6 + - aiosignal==1.3.1 + - antlr4-python3-runtime==4.9.3 + - anyio==4.11.0 + - appdirs==1.4.4 + - asttokens==2.4.1 + - async-timeout==4.0.3 + - attrs==23.1.0 + - audioldm-eval==0.0.5 + - audioldm-train==0.1.0 + - audioread==3.0.1 + - backports-tarfile==1.2.0 + - braceexpand==0.1.7 + - build==1.3.0 + - cachecontrol==0.14.3 + - certifi==2023.7.22 + - cffi==1.16.0 + - charset-normalizer==3.3.2 + - cleo==2.1.0 + - click==8.1.7 + - contourpy==1.2.0 + - crashtest==0.4.1 + - cryptography==46.0.3 + - cycler==0.12.1 + - decorator==5.1.1 + - distlib==0.4.0 + - docker-pycreds==0.4.0 + - dulwich==0.24.10 + - einops==0.7.0 + - exceptiongroup==1.1.3 + - executing==2.0.1 + - fastjsonschema==2.21.2 + - filelock==3.13.1 + - findpython==0.7.0 + - fonttools==4.44.0 + - frozenlist==1.4.0 + - fsspec==2023.10.0 + - ftfy==6.1.1 + - gitdb==4.0.11 + - gitpython==3.1.40 + - h11==0.16.0 + - h5py==3.10.0 + - hear21passt==0.0.23 + - httpcore==1.0.9 + - httpx==0.28.1 + - huggingface-hub==0.17.3 + - idna==3.4 + - imageio==2.31.5 + - importlib-metadata==8.7.0 + - installer==0.7.0 + - ipdb==0.13.13 + - ipython==8.17.2 + - jaraco-classes==3.4.0 + - jaraco-context==6.0.1 + - jaraco-functools==4.3.0 + - jedi==0.19.1 + - jeepney==0.9.0 + - joblib==1.3.2 + - keyring==25.6.0 + - kiwisolver==1.4.5 + - kornia==0.7.0 + - laion-clap==1.1.7 + - lazy-loader==0.3 + - librosa==0.9.2 + - lightning-utilities==0.9.0 + - llvmlite==0.41.1 + - matplotlib==3.8.1 + - matplotlib-inline==0.1.6 + - more-itertools==10.8.0 + - msgpack==1.1.2 + - multidict==6.0.4 + - networkx==3.2.1 + - numba==0.58.1 + - numpy==1.23.5 + - nvidia-cublas-cu11==11.10.3.66 + - nvidia-cuda-nvrtc-cu11==11.7.99 + - nvidia-cuda-runtime-cu11==11.7.99 + - nvidia-cudnn-cu11==8.5.0.96 + - omegaconf==2.3.0 + - packaging==23.2 + - pandas==2.1.3 + - parso==0.8.3 + - pbs-installer==2025.10.31 + - pexpect==4.8.0 + - pillow==10.1.0 + - pkginfo==1.12.1.2 + - platformdirs==4.0.0 + - poetry==2.2.1 + - poetry-core==2.2.1 + - pooch==1.8.0 + - progressbar==2.5 + - prompt-toolkit==3.0.41 + - protobuf==4.25.0 + - psutil==5.9.6 + - ptyprocess==0.7.0 + - pure-eval==0.2.2 + - pycparser==2.21 + - pygments==2.16.1 + - pyparsing==3.1.1 + - pyproject-hooks==1.2.0 + - python-dateutil==2.8.2 + - pytorch-lightning==2.1.1 + - pytz==2023.3.post1 + - pyyaml==6.0.1 + - rapidfuzz==3.14.3 + - regex==2023.10.3 + - requests==2.31.0 + - requests-toolbelt==1.0.0 + - resampy==0.4.2 + - ruamel-yaml==0.18.5 + - ruamel-yaml-clib==0.2.8 + - safetensors==0.4.0 + - scikit-image==0.22.0 + - scikit-learn==1.3.2 + - scipy==1.9.3 + - secretstorage==3.4.0 + - sentry-sdk==1.35.0 + - setproctitle==1.3.3 + - setuptools==68.2.2 + - shellingham==1.5.4 + - six==1.16.0 + - smmap==5.0.1 + - sniffio==1.3.1 + - soundfile==0.12.1 + - ssr-eval==0.0.7 + - stack-data==0.6.3 + - taming-transformers-rom1504==0.0.6 + - threadpoolctl==3.2.0 + - tifffile==2023.9.26 + - timm==0.4.12 + - tokenizers==0.13.3 + - tomli==2.0.1 + - tomlkit==0.13.3 + - torch==1.13.1 + - torchaudio==0.13.1 + - torchlibrosa==0.0.9 + - torchmetrics==1.2.0 + - torchvision==0.14.1 + - tqdm==4.66.1 + - traitlets==5.13.0 + - transformers==4.30.2 + - trove-classifiers==2025.9.11.17 + - typing-extensions==4.8.0 + - tzdata==2023.3 + - ujson==5.11.0 + - urllib3==2.1.0 + - virtualenv==20.35.4 + - wandb==0.16.0 + - wave==0.0.2 + - wcwidth==0.2.9 + - webdataset==0.2.75 + - wget==3.2 + - wheel==0.41.3 + - yarl==1.9.2 + - zipp==3.23.0 + - zstandard==0.25.0 +prefix: /home/rkimura/.conda/envs/audioldm_train diff --git a/models/full/wandb/run-20251202_121332-lc8aneeb/files/config.yaml b/models/full/wandb/run-20251202_121332-lc8aneeb/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ac3a52dd761297376048be6d8cc78457844c4cfb --- /dev/null +++ b/models/full/wandb/run-20251202_121332-lc8aneeb/files/config.yaml @@ -0,0 +1,372 @@ +wandb_version: 1 + +metadata_root: + desc: null + value: ./data/dataset/metadata/dataset_root.json +log_directory: + desc: null + value: ./log/latent_diffusion_controlnet_beatdance +project: + desc: null + value: audioldm_controlnet +precision: + desc: null + value: high +variables: + desc: null + value: + sampling_rate: 16000 + mel_bins: 64 + latent_embed_dim: 8 + latent_t_size: 128 + latent_f_size: 16 + in_channels: 8 + model_channels: 192 + optimize_ddpm_parameter: true + optimize_gpt: true + warmup_steps: 2000 + default_unet_params: + image_size: 64 + extra_film_condition_dim: 512 + in_channels: 8 + out_channels: 8 + model_channels: 192 + attention_resolutions: + - 8 + - 4 + - 2 + num_res_blocks: 2 + channel_mult: + - 1 + - 2 + - 3 + - 5 + num_head_channels: 32 + use_spatial_transformer: true + transformer_depth: 1 + extra_sa_layer: false +data: + desc: null + value: + train: + - aist + val: aist + test: aist + class_label_indices: '' + dataloader_add_ons: [] +step: + desc: null + value: + validation_every_n_epochs: 10 + save_checkpoint_every_n_steps: 10000 + max_steps: 1000000 + save_top_k: 1 +preprocessing: + desc: null + value: + audio: + sampling_rate: 16000 + max_wav_value: 32768.0 + duration: 5.12 + stft: + filter_length: 1024 + hop_length: 160 + win_length: 1024 + mel: + n_mel_channels: 64 + mel_fmin: 0 + mel_fmax: 8000 + strech_augmentation: + additional_strech_rate: 0.2 + stretch_prob: 0.7 + motion: + target_length: 128 + camera_height: 1080 + camera_width: 1920 + scale_range_train: + - 1 + - 3 + scale_range_test: + - 2 + - 2 + fps_keypoints: 60 + beat_dim: 2 +augmentation: + desc: null + value: + mixup: 0.0 +model: + desc: null + value: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlLDM + params: + first_stage_config: + base_learning_rate: 8.0e-06 + target: audioldm_train.modules.latent_encoder.autoencoder.AutoencoderKL + params: + reload_from_ckpt: data/checkpoints/vae_mel_16k_64bins.ckpt + sampling_rate: 16000 + batchsize: 8 + monitor: val/rec_loss + image_key: fbank + subband: 1 + embed_dim: 8 + time_shuffle: 1 + lossconfig: + target: audioldm_train.losses.LPIPSWithDiscriminator + params: + disc_start: 50001 + kl_weight: 1000.0 + disc_weight: 0.5 + disc_in_channels: 1 + ddconfig: + double_z: true + mel_bins: 64 + z_channels: 8 + resolution: 256 + downsample_time: false + in_channels: 1 + out_ch: 1 + ch: 128 + ch_mult: + - 1 + - 2 + - 4 + num_res_blocks: 2 + attn_resolutions: [] + dropout: 0.0 + base_learning_rate: 0.0001 + warmup_steps: 2000 + optimize_ddpm_parameter: true + sampling_rate: 16000 + batchsize: 8 + linear_start: 0.0015 + linear_end: 0.0195 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + unconditional_prob_cfg: 0.1 + parameterization: eps + first_stage_key: fbank + latent_t_size: 128 + latent_f_size: 16 + channels: 8 + monitor: val/loss_simple_ema + scale_by_std: true + unet_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlledUnetModel + params: + image_size: 64 + extra_film_condition_dim: 512 + in_channels: 8 + out_channels: 8 + model_channels: 192 + attention_resolutions: + - 8 + - 4 + - 2 + num_res_blocks: 2 + channel_mult: + - 1 + - 2 + - 3 + - 5 + num_head_channels: 32 + use_spatial_transformer: true + transformer_depth: 1 + extra_sa_layer: false + cond_stage_config: + film_clap_cond1: + cond_stage_key: text + conditioning_key: film + target: audioldm_train.conditional_models.CLAPAudioEmbeddingClassifierFreev2 + params: + pretrained_path: data/checkpoints/clap_music_speech_audioset_epoch_15_esc_89.98.pt + sampling_rate: 16000 + embed_mode: text + amodel: HTSAT-base + controlnet_stage_config: + dance_controlnet: + controlnet_stage_key: motion + target: audioldm_train.modules.latent_diffusion.dance_controlnet.DanceControlNetWrapper + params: + feature_encoder_config: + target: audioldm_train.modules.motion_encoder.encoder.BeatDanceEncoderWrapper + params: + motion_bert_config: + target: audioldm_train.modules.motion_encoder.MotionBERT.DSTformer.DSTformerWrapper + params: + dim_in: 3 + dim_out: 3 + dim_feat: 512 + dim_rep: 512 + depth: 5 + num_heads: 8 + mlp_ratio: 2 + maxlen: 243 + num_joints: 17 + motion_bert_pretrained_weights_path: data/checkpoints/latest_epoch.bin + feature_mapper_config: + target: audioldm_train.modules.motion_encoder.encoder.MotionBERT2BeatDance2AudioLDMEncoder + params: + kpt_num_joints: 17 + kpt_feat_dim: 512 + audio_channels: 192 + audio_freq: 16 + beatdance_output_dim: 256 + beatdance_config: + target: BeatDance.model.clip_transformer.DanceOnlyBeatDanceWrapper + params: + beatdance_config_path: audioldm_train/config/2025_11_23_dance_controlnet_beatdance/aist_seg10_L10.json + kpt_num_joints: 17 + kpt_feat_dim: 512 + beat_dim: 2 + beatdance_output_dim: 256 + num_frames: 128 + beatdance_pretrained_weights_path: data/checkpoints/model_best.pth + freeze_beatdance: false + controlnet_model_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlNet + params: + image_size: 64 + extra_film_condition_dim: 512 + in_channels: 8 + out_channels: 8 + model_channels: 192 + attention_resolutions: + - 8 + - 4 + - 2 + num_res_blocks: 2 + channel_mult: + - 1 + - 2 + - 3 + - 5 + num_head_channels: 32 + use_spatial_transformer: true + transformer_depth: 1 + extra_sa_layer: false + evaluation_params: + unconditional_guidance_scale: 3.5 + ddim_sampling_steps: 200 + n_candidates_per_samples: 3 + evaluator_config: + target: audioldm_train.metrics.eval.ControlNetEvaluationHelper + params: + sampling_rate: 16000 +reload_from_ckpt: + desc: null + value: data/checkpoints/audioldm-m-full.ckpt +_wandb: + desc: null + value: + python_version: 3.10.19 + cli_version: 0.16.0 + framework: huggingface + huggingface_version: 4.30.2 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1764645212.043826 + t: + 1: + - 1 + - 5 + - 9 + - 11 + - 41 + - 49 + - 53 + - 55 + - 63 + - 103 + 2: + - 1 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+beat_coverage_score: 0.5611649 +beat_hit_score: 0.4537862 +f1_score: 0.3886953 +tempo_difference: 35.0616424 +clap_score: 0.715429 \ No newline at end of file diff --git a/models/without_motioinbert/audioldm_original_medium_stretch_wo_mb.yaml b/models/without_motioinbert/audioldm_original_medium_stretch_wo_mb.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3df76264297ff4e55095b62fa4dc74666340fc86 --- /dev/null +++ b/models/without_motioinbert/audioldm_original_medium_stretch_wo_mb.yaml @@ -0,0 +1,205 @@ +metadata_root: "./data/dataset/metadata/dataset_root.json" +log_directory: "./log/latent_diffusion_controlnet_beatdance" +project: "audioldm_controlnet" +precision: "high" + +variables: + sampling_rate: &sampling_rate 16000 + mel_bins: &mel_bins 64 + latent_embed_dim: &latent_embed_dim 8 # TODO might need to change + latent_t_size: &latent_t_size 128 # TODO might need to change + latent_f_size: &latent_f_size 16 + in_channels: &unet_in_channels 8 # The input channel of the UNet model + model_channels: &unet_model_channels 192 + optimize_ddpm_parameter: &optimize_ddpm_parameter true + optimize_gpt: &optimize_gpt true + warmup_steps: &warmup_steps 2000 + default_unet_params: &default_unet_params + image_size: 64 + extra_film_condition_dim: 512 # If you use film as extra condition, set this parameter. For example if you have two conditioning vectors each have dimension 512, then this number would be 1024 + # context_dim: + # - 768 + in_channels: *unet_in_channels + out_channels: *latent_embed_dim + model_channels: *unet_model_channels + attention_resolutions: + - 8 + - 4 + - 2 + num_res_blocks: 2 + channel_mult: + - 1 + - 2 + - 3 + - 5 + num_head_channels: 32 + use_spatial_transformer: true + transformer_depth: 1 + extra_sa_layer: False + +data: + train: ["aist"] + val: "aist" + test: "aist" + class_label_indices: "" + dataloader_add_ons: [] + +step: + validation_every_n_epochs: 100 + save_checkpoint_every_n_steps: 100000 + # limit_val_batches: 2 + max_steps: 1000000 + save_top_k: 1 + +preprocessing: + audio: + sampling_rate: *sampling_rate + max_wav_value: 32768.0 + duration: 5.12 + stft: + filter_length: 1024 + hop_length: 160 + win_length: 1024 + mel: + n_mel_channels: *mel_bins + mel_fmin: 0 + mel_fmax: 8000 + # added for dance-controlnet + strech_augmentation: + additional_strech_rate: 0.2 + stretch_prob: 0.7 + motion: + target_length: *latent_t_size + camera_height: 1080 + camera_width: 1920 + scale_range_train: [1, 3] + scale_range_test: [2, 2] + fps_keypoints: 60 + beat_dim: 2 + +augmentation: + mixup: 0.0 + +model: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlLDM + params: + # Autoencoder + first_stage_config: + base_learning_rate: 8.0e-06 + target: audioldm_train.modules.latent_encoder.autoencoder.AutoencoderKL + params: + reload_from_ckpt: "data/checkpoints/vae_mel_16k_64bins.ckpt" + sampling_rate: *sampling_rate + batchsize: 8 + monitor: val/rec_loss + image_key: fbank + subband: 1 + embed_dim: *latent_embed_dim + time_shuffle: 1 + lossconfig: + target: audioldm_train.losses.LPIPSWithDiscriminator + params: + disc_start: 50001 + kl_weight: 1000.0 + disc_weight: 0.5 + disc_in_channels: 1 + ddconfig: + double_z: true + mel_bins: *mel_bins # The frequency bins of mel spectrogram + z_channels: 8 + resolution: 256 + downsample_time: false + in_channels: 1 + out_ch: 1 + ch: 128 + ch_mult: + - 1 + - 2 + - 4 + num_res_blocks: 2 + attn_resolutions: [] + dropout: 0.0 + # Other parameters + base_learning_rate: 1.0e-4 + warmup_steps: *warmup_steps + optimize_ddpm_parameter: *optimize_ddpm_parameter + sampling_rate: *sampling_rate + batchsize: 8 + linear_start: 0.0015 + linear_end: 0.0195 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + unconditional_prob_cfg: 0.1 + parameterization: eps # [eps, x0, v] + first_stage_key: fbank + latent_t_size: *latent_t_size # TODO might need to change + latent_f_size: *latent_f_size + channels: *latent_embed_dim # TODO might need to change + monitor: val/loss_simple_ema + scale_by_std: true + unet_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlledUnetModel + params: + <<: *default_unet_params + cond_stage_config: + film_clap_cond1: + cond_stage_key: text + conditioning_key: film + target: audioldm_train.conditional_models.CLAPAudioEmbeddingClassifierFreev2 + params: + pretrained_path: data/checkpoints/clap_music_speech_audioset_epoch_15_esc_89.98.pt + sampling_rate: 16000 + embed_mode: text # or text + amodel: HTSAT-base + # added for ControlNet + controlnet_stage_config: + dance_controlnet: + controlnet_stage_key: motion + target: audioldm_train.modules.latent_diffusion.dance_controlnet.DanceControlNetWrapper + params: + feature_encoder_config: + target: audioldm_train.modules.motion_encoder.encoder.BeatDanceEncoderWrapper + params: + motion_bert_config: + target: audioldm_train.modules.motion_encoder.MotionBERT.DSTformer.DSTformerWrapper + params: + dim_in: 3 + dim_out: 3 + dim_feat: 512 # default value: intermediate representation + dim_rep: &dim_rep 512 # default value + depth: 5 # default value + num_heads: 8 # default value + mlp_ratio: 2 # default value + maxlen: 243 # default value + num_joints: &num_joints 17 + motion_bert_pretrained_weights_path: null + feature_mapper_config: + target: audioldm_train.modules.motion_encoder.encoder.MotionBERT2BeatDance2AudioLDMEncoder + params: + kpt_num_joints: *num_joints + kpt_feat_dim: *dim_rep + audio_channels: *unet_model_channels + audio_freq: *latent_f_size + beatdance_output_dim: &beatdance_output_dim 256 + beatdance_config: + target: audioldm_train.modules.motion_encoder.BeatDance.model.clip_transformer.DanceOnlyBeatDanceWrapper + params: + beatdance_config_path: audioldm_train/config/2025_11_23_dance_controlnet_beatdance/aist_seg10_L10.json + kpt_num_joints: *num_joints + kpt_feat_dim: *dim_rep + beat_dim: 2 + beatdance_output_dim: *beatdance_output_dim + num_frames: *latent_t_size + controlnet_model_config: + target: audioldm_train.modules.latent_diffusion.controlnet.ControlNet + params: + <<: *default_unet_params + evaluation_params: + unconditional_guidance_scale: 3.5 + ddim_sampling_steps: 200 + n_candidates_per_samples: 3 + evaluator_config: + target: 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