Spaces:
Runtime error
Runtime error
| model: | |
| base_learning_rate: 3.0e-06 | |
| target: ldm.models.diffusion.lcm_audio.LCM_audio | |
| params: | |
| linear_start: 0.00085 | |
| linear_end: 0.012 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| first_stage_key: image | |
| cond_stage_key: caption | |
| mel_dim: 20 | |
| mel_length: 312 | |
| channels: 0 | |
| cond_stage_trainable: False | |
| conditioning_key: crossattn | |
| monitor: val/loss_simple_ema | |
| scale_by_std: true | |
| use_lcm: True | |
| num_ddim_timesteps: 50 | |
| w_min: 4 | |
| w_max: 12 | |
| ckpt_path: ./ckpt/maa2.ckpt | |
| use_ema: false | |
| scheduler_config: | |
| target: ldm.lr_scheduler.LambdaLinearScheduler | |
| params: | |
| warm_up_steps: | |
| - 10000 | |
| cycle_lengths: | |
| - 10000000000000 | |
| f_start: | |
| - 1.0e-06 | |
| f_max: | |
| - 1.0 | |
| f_min: | |
| - 1.0 | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.concatDiT.ConcatDiT2MLP | |
| params: | |
| in_channels: 20 | |
| context_dim: 1024 | |
| hidden_size: 576 | |
| num_heads: 8 | |
| depth: 4 | |
| max_len: 1000 | |
| first_stage_config: | |
| target: ldm.models.autoencoder1d.AutoencoderKL | |
| params: | |
| embed_dim: 20 | |
| monitor: val/rec_loss | |
| ckpt_path: ./model/AutoencoderKL/epoch=000032.ckpt | |
| ddconfig: | |
| double_z: true | |
| in_channels: 80 | |
| out_ch: 80 | |
| z_channels: 20 | |
| kernel_size: 5 | |
| ch: 384 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_layers: | |
| - 3 | |
| down_layers: | |
| - 0 | |
| dropout: 0.0 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| cond_stage_config: | |
| target: ldm.modules.encoders.modules.FrozenCLAPFLANEmbedder | |
| params: | |
| weights_path: ./model/FrozenCLAPFLANEmbedder/CLAP_weights_2022.pth | |
| lightning: | |
| callbacks: | |
| image_logger: | |
| target: main.AudioLogger | |
| params: | |
| sample_rate: 16000 | |
| for_specs: true | |
| increase_log_steps: false | |
| batch_frequency: 5000 | |
| max_images: 8 | |
| melvmin: -5 | |
| melvmax: 1.5 | |
| vocoder_cfg: | |
| target: vocoder.bigvgan.models.VocoderBigVGAN | |
| params: | |
| ckpt_vocoder: ./vocoder/logs/bigvnat16k93.5w | |
| trainer: | |
| benchmark: True | |
| gradient_clip_val: 1.0 | |
| replace_sampler_ddp: false | |
| max_epochs: 100 | |
| modelcheckpoint: | |
| params: | |
| monitor: epoch | |
| mode: max | |
| # every_n_train_steps: 2000 | |
| save_top_k: 100 | |
| every_n_epochs: 3 | |
| data: | |
| target: main.SpectrogramDataModuleFromConfig | |
| params: | |
| batch_size: 8 | |
| num_workers: 32 | |
| spec_dir_path: 'ldm/data/tsv_dirs/full_data/caps_struct' | |
| mel_num: 80 | |
| train: | |
| target: ldm.data.joinaudiodataset_struct_anylen.JoinSpecsTrain | |
| params: | |
| specs_dataset_cfg: | |
| validation: | |
| target: ldm.data.joinaudiodataset_struct_anylen.JoinSpecsValidation | |
| params: | |
| specs_dataset_cfg: | |
| test_dataset: | |
| target: ldm.data.tsvdataset.TSVDatasetStruct | |
| params: | |
| tsv_path: audiocaps_test_16000_struct.tsv | |
| spec_crop_len: 624 | |