Backup: DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8

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+dataloader_train:
+  _target_: <class 'fastgen.datasets.omniavatar_dataloader.OmniAvatarDataLoader'>
+  batch_size: '8'
+  data_list_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_path.txt
+  latentsync_mask_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+  load_ode_path: 'False'
+  neg_text_emb_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt
+  num_workers: '4'
+  use_ref_sequence: 'True'
+dataloader_val:
+  _target_: <function create_omniavatar_dataloader at 0x7fd15a321940>
+  batch_size: '1'
+  data_list_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_val10.txt
+  latentsync_mask_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+  load_ode_path: 'False'
+  neg_text_emb_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt
+  num_workers: '2'
+  use_ref_sequence: 'True'
+eval:
+  max_ckpt: '100000000'
+  min_ckpt: '0'
+  num_samples: '50000'
+  samples_dir: samples
+  save_images: 'False'
+log_config:
+  group: omniavatar_df_audiofix
+  name: df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter
+  project: OmniAvatar-FastGen
+  wandb_credential: ./credentials/wandb_api.txt
+  wandb_entity: paulhcho
+  wandb_mode: online
+model:
+  add_teacher_to_fsdp_dict: 'True'
+  context_noise: '0.0'
+  ddp_find_unused_parameters: 'True'
+  device: cuda
+  enable_preprocessors: 'True'
+  fake_score_net: null
+  fsdp_meta_init: 'False'
+  grad_scaler_enabled: 'False'
+  grad_scaler_growth_interval: '2000'
+  grad_scaler_init_scale: '65536.0'
+  guidance_scale: null
+  input_shape:
+  - '16'
+  - '21'
+  - '64'
+  - '64'
+  load_student_weights: 'True'
+  net:
+    _target_: <class 'fastgen.networks.OmniAvatar.network_causal.CausalOmniAvatarWan'>
+    audio_hidden_size: '32'
+    base_model_paths: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/OmniAvatar-Train/pretrained_models/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors
+    chunk_size: '3'
+    in_dim: '65'
+    lora_alpha: '64'
+    lora_rank: '128'
+    merge_lora: 'False'
+    mode: v2v
+    model_size: 1.3B
+    net_pred_type: flow
+    omniavatar_ckpt_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data_checkpoints/1.3B-step-1000.pt
+    schedule_type: rf
+    stochastic_attn_configs:
+    - local_attn_size: '7'
+      sink_size: '1'
+      weight: '1.0'
+    total_num_frames: '21'
+    unfreeze_modules:
+    - _core.audio_proj
+    - _core.audio_cond_projs
+    - _core.patch_embedding
+    use_audio: 'True'
+    use_dynamic_rope: 'False'
+  net_optimizer:
+    _target_: <function get_optimizer at 0x7fd15c8258a0>
+    betas:
+    - '0.9'
+    - '0.999'
+    eps: 1e-08
+    fused: 'False'
+    lr: 1e-05
+    model: null
+    optim_type: adamw
+    weight_decay: '0.01'
+  net_scheduler:
+    _target_: <class 'fastgen.utils.lr_scheduler.LambdaLinearScheduler'>
+    cycle_lengths:
+    - '10000000000'
+    f_max:
+    - '1.0'
+    f_min:
+    - '1.0'
+    f_start:
+    - 1e-06
+    warm_up_steps:
+    - '0'
+  precision: bfloat16
+  precision_amp: null
+  precision_amp_enc: null
+  precision_amp_infer: null
+  precision_fsdp: float32
+  pretrained_model_path: ''
+  pretrained_student_net_path: ''
+  sample_t_cfg:
+    log_t_df: '0.01'
+    max_t: '0.999'
+    min_t: '0.001'
+    shift: '5.0'
+    t_list:
+    - '0.999'
+    - '0.769'
+    - '0.0'
+    time_dist_type: shifted
+    train_p_mean: '-1.1'
+    train_p_std: '2.0'
+  skip_layers: null
+  student_sample_steps: '2'
+  student_sample_type: sde
+  teacher: null
+  timestep_cfg:
+    enabled: 'False'
+    t_hi: '1.0'
+    t_lo: '0.0'
+  use_ema: 'False'
+  vae_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/OmniAvatar-Train/pretrained_models/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth
+model_class:
+  _target_: <class 'fastgen.methods.omniavatar_diffusion_forcing.OmniAvatarDiffusionForcingModel'>
+  config: null
+trainer:
+  augment_pipe: null
+  batch_size_global: null
+  callbacks:
+    gpu_stats:
+      _target_: <class 'fastgen.callbacks.gpu_stats.GPUStatsCallback'>
+      every_n: '100'
+    grad_clip:
+      _target_: <class 'fastgen.callbacks.grad_clip.GradClipCallback'>
+      grad_norm: '10.0'
+      model_key: net
+    param_count:
+      _target_: <class 'fastgen.callbacks.param_count.ParamCountCallback'>
+    train_profiler:
+      _target_: <class 'fastgen.callbacks.train_profiler.TrainProfilerCallback'>
+      every_n: '100'
+    wandb:
+      _target_: <class 'fastgen.callbacks.wandb.WandbCallback'>
+      fps: '25'
+      sample_logging_iter: '500'
+  checkpointer:
+    pretrained_ckpt_key_map:
+      net: net
+    pretrained_ckpt_path: ''
+    s3_container: s3://checkpoints/fastgen
+    s3_credential: ./credentials/s3.json
+    save_dir: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/FastGen/output/DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter/checkpoints
+    use_s3: 'False'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp: 'True'
+  fsdp: 'False'
+  fsdp_cpu_offload: 'False'
+  fsdp_min_num_params: '10000000'
+  fsdp_sharding_group_size: null
+  global_vars: null
+  global_vars_val:
+  - null
+  grad_accum_rounds: '1'
+  logging_iter: '1'
+  max_iter: '5000'
+  offload_module_in_decoding: 'False'
+  resume: 'False'
+  save_ckpt_iter: '500'
+  seed: '0'
+  skip_initial_validation: 'True'
+  tf32_enabled: 'True'
+  val_seed: null
+  validation_iter: '500'
+  visualize_teacher: 'False'

DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter/wandb/debug.log

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+2026-04-30 23:23:36,112 INFO    MainThread:2776385 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/FastGen/output/DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter/wandb/run-20260430_232336-j7w38es7/logs/debug-internal.log
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+2026-04-30 23:23:36,113 INFO    MainThread:2776385 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
+config: {'log_config': {'project': 'OmniAvatar-FastGen', 'group': 'omniavatar_df_audiofix', 'name': 'df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter', 'wandb_mode': 'online', 'wandb_entity': 'paulhcho', 'wandb_credential': './credentials/wandb_api.txt'}, 'trainer': {'cudnn': {'deterministic': 'False', 'benchmark': 'True'}, 'checkpointer': {'save_dir': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/FastGen/output/DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter/checkpoints', 'use_s3': 'False', 's3_container': 's3://checkpoints/fastgen', 's3_credential': './credentials/s3.json', 'pretrained_ckpt_path': '', 'pretrained_ckpt_key_map': {'net': 'net'}}, 'callbacks': {'grad_clip': {'grad_norm': '10.0', 'model_key': 'net', '_target_': "<class 'fastgen.callbacks.grad_clip.GradClipCallback'>"}, 'gpu_stats': {'every_n': '100', '_target_': "<class 'fastgen.callbacks.gpu_stats.GPUStatsCallback'>"}, 'train_profiler': {'every_n': '100', '_target_': "<class 'fastgen.callbacks.train_profiler.TrainProfilerCallback'>"}, 'param_count': {'_target_': "<class 'fastgen.callbacks.param_count.ParamCountCallback'>"}, 'wandb': {'sample_logging_iter': '500', 'fps': '25', '_target_': "<class 'fastgen.callbacks.wandb.WandbCallback'>"}}, 'save_ckpt_iter': '500', 'validation_iter': '500', 'skip_initial_validation': 'True', 'logging_iter': '1', 'max_iter': '5000', 'visualize_teacher': 'False', 'seed': '0', 'val_seed': None, 'resume': 'False', 'ddp': 'True', 'fsdp': 'False', 'tf32_enabled': 'True', 'grad_accum_rounds': '1', 'batch_size_global': None, 'offload_module_in_decoding': 'False', 'fsdp_cpu_offload': 'False', 'fsdp_min_num_params': '10000000', 'fsdp_sharding_group_size': None, 'global_vars': None, 'global_vars_val': [None], 'augment_pipe': None}, 'dataloader_train': {'data_list_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_path.txt', 'latentsync_mask_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png', 'batch_size': '8', 'num_workers': '4', 'neg_text_emb_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt', 'use_ref_sequence': 'True', 'load_ode_path': 'False', '_target_': "<class 'fastgen.datasets.omniavatar_dataloader.OmniAvatarDataLoader'>"}, 'dataloader_val': {'data_list_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_val10.txt', 'latentsync_mask_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png', 'batch_size': '1', 'num_workers': '2', 'neg_text_emb_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt', 'use_ref_sequence': 'True', 'load_ode_path': 'False', '_target_': '<function create_omniavatar_dataloader at 0x7f422ac51940>'}, 'eval': {'num_samples': '50000', 'save_images': 'False', 'min_ckpt': '0', 'max_ckpt': '100000000', 'samples_dir': 'samples'}, 'model': {'net': {'model_size': '1.3B', 'in_dim': '65', 'mode': 'v2v', 'use_audio': 'True', 'audio_hidden_size': '32', 'chunk_size': '3', 'total_num_frames': '21', 'base_model_paths': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/OmniAvatar-Train/pretrained_models/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors', 'omniavatar_ckpt_path': '/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data_checkpoints/1.3B-step-1000.pt', 'net_pred_type': 'flow', 'schedule_type': 'rf', 'use_dynamic_rope': 'False', 'stochastic_attn_configs': [{'local_attn_size': '7', 'sink_size': '1', 'weight': '1.0'}], '_target_': "<class 'fastgen.networks.OmniAvatar.network_causal.CausalOmniAvatarWan'>", 'merge_lora': 'False', 'unfreeze_modules': ['_core.audio_proj', '_core.audio_cond_projs', '_core.patch_embedding'], 'lora_rank': '128', 'lora_alpha': '64'}, 'teacher': None, 'fake_score_net': None, 'guidance_scale': None, 'timestep_cfg': {'enabled': 'False', 't_lo': '0.0', 't_hi': '1.0'}, 'skip_layers': None, 'net_optimizer': {'model': None, 'optim_type': 'adamw', 'lr': '1e-05', 'weight_decay': '0.01', 'betas': ['0.9', '0.999'], 'eps': '1e-08', 'fused': 'False', '_target_': '<function get_optimizer at 0x7f42311a98a0>'}, 'net_scheduler': {'warm_up_steps': ['0'], 'cycle_lengths': ['10000000000'], 'f_start': ['1e-06'], 'f_max': ['1.0'], 'f_min': ['1.0'], '_target_': "<class 'fastgen.utils.lr_scheduler.LambdaLinearScheduler'>"}, 'sample_t_cfg': {'time_dist_type': 'shifted', 'train_p_mean': '-1.1', 'train_p_std': '2.0', 'shift': '5.0', 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DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter/wandb/run-20260430_232336-j7w38es7/files/config.yaml

@@ -0,0 +1,310 @@
+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            ewkwdrj4eqza11gdnrnmqivl5uxcy6s8:
+                args:
+                    - --config=fastgen/configs/experiments/OmniAvatar/config_df_shift_5_lora_t769_sink1_window7_only.py
+                    - '-'
+                    - dataloader_train.batch_size=8
+                    - dataloader_train.latentsync_mask_path=/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+                    - dataloader_val.latentsync_mask_path=/data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+                    - trainer.ddp=True
+                    - trainer.max_iter=5000
+                    - trainer.save_ckpt_iter=500
+                    - trainer.resume=False
+                    - log_config.group=omniavatar_df_audiofix
+                    - log_config.name=df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter
+                    - log_config.project=OmniAvatar-FastGen
+                    - log_config.wandb_entity=paulhcho
+                codePath: train.py
+                codePathLocal: train.py
+                cpu_count: 64
+                cpu_count_logical: 128
+                cudaVersion: "12.9"
+                disk:
+                    /:
+                        total: "1599530123264"
+                        used: "753921671168"
+                email: paul.hyunbin@gmail.com
+                executable: /usr/bin/python
+                git:
+                    commit: f5897815a4bdcc8f11212b24f367a6839a5409ca
+                    remote: https://github.com/paulcho98/FastGen.git
+                gpu: NVIDIA A100-SXM4-80GB
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-c1619da3-e2c1-15b0-cb55-50e24b1f8e99
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-29f274f2-7065-4653-dcd1-055518ba099c
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-47a2dd51-a5dc-1d24-4713-ea97b7049d18
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-ad40d9cb-0070-8a6c-f0a3-d8d40d8233a7
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-97413b12-6c45-b8cd-a06a-886dd3bc94d6
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-060cf5c3-ba18-6ff1-9d4d-9e9c71bf6c67
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-6562d339-d2bb-95e2-3881-199a64c50ba7
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "85899345920"
+                      name: NVIDIA A100-SXM4-80GB
+                      uuid: GPU-a6834410-f241-7270-f5e3-129ecdc2e8f3
+                host: instance-35250
+                memory:
+                    total: "1081693446144"
+                os: Linux-5.15.0-142-generic-x86_64-with-glibc2.39
+                program: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/FastGen/train.py
+                python: CPython 3.12.3
+                root: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/FastGen/output/DF_LORA_T769_SINK1WINDOW7_ONLY_8GPU_BS8/OmniAvatar-FastGen/omniavatar_df_audiofix/df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter
+                startedAt: "2026-04-30T14:23:36.092160Z"
+                writerId: ewkwdrj4eqza11gdnrnmqivl5uxcy6s8
+        m: []
+        python_version: 3.12.3
+        t:
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+            "3":
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+            "4": 3.12.3
+            "5": 0.25.1
+            "6": 5.3.0
+            "12": 0.25.1
+            "13": linux-x86_64
+dataloader_train:
+    value:
+        _target_: <class 'fastgen.datasets.omniavatar_dataloader.OmniAvatarDataLoader'>
+        batch_size: "8"
+        data_list_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_path.txt
+        latentsync_mask_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+        load_ode_path: "False"
+        neg_text_emb_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt
+        num_workers: "4"
+        use_ref_sequence: "True"
+dataloader_val:
+    value:
+        _target_: <function create_omniavatar_dataloader at 0x7f422ac51940>
+        batch_size: "1"
+        data_list_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/v2v_training_data/video_square_val10.txt
+        latentsync_mask_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/mask.png
+        load_ode_path: "False"
+        neg_text_emb_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data/text_emb/neg_text_emb.pt
+        num_workers: "2"
+        use_ref_sequence: "True"
+eval:
+    value:
+        max_ckpt: "100000000"
+        min_ckpt: "0"
+        num_samples: "50000"
+        samples_dir: samples
+        save_images: "False"
+log_config:
+    value:
+        group: omniavatar_df_audiofix
+        name: df_audiofix_syncnet_trained_shift_5_lora_t769_sink1window7only_8gpu_bs8_lr1e5_5000iter
+        project: OmniAvatar-FastGen
+        wandb_credential: ./credentials/wandb_api.txt
+        wandb_entity: paulhcho
+        wandb_mode: online
+model:
+    value:
+        add_teacher_to_fsdp_dict: "True"
+        context_noise: "0.0"
+        ddp_find_unused_parameters: "True"
+        device: cuda
+        enable_preprocessors: "True"
+        fake_score_net: null
+        fsdp_meta_init: "False"
+        grad_scaler_enabled: "False"
+        grad_scaler_growth_interval: "2000"
+        grad_scaler_init_scale: "65536.0"
+        guidance_scale: null
+        input_shape:
+            - "16"
+            - "21"
+            - "64"
+            - "64"
+        load_student_weights: "True"
+        net:
+            _target_: <class 'fastgen.networks.OmniAvatar.network_causal.CausalOmniAvatarWan'>
+            audio_hidden_size: "32"
+            base_model_paths: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/OmniAvatar-Train/pretrained_models/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors
+            chunk_size: "3"
+            in_dim: "65"
+            lora_alpha: "64"
+            lora_rank: "128"
+            merge_lora: "False"
+            mode: v2v
+            model_size: 1.3B
+            net_pred_type: flow
+            omniavatar_ckpt_path: /data/karlo-research_715/workspace/kinemaar/paul/AR_diffusion/reference_FastGen_OmniAvatar/data_checkpoints/1.3B-step-1000.pt
+            schedule_type: rf
+            stochastic_attn_configs:
+                - local_attn_size: "7"
+                  sink_size: "1"
+                  weight: "1.0"
+            total_num_frames: "21"
+            unfreeze_modules:
+                - _core.audio_proj
+                - _core.audio_cond_projs
+                - _core.patch_embedding
+            use_audio: "True"
+            use_dynamic_rope: "False"
+        net_optimizer:
+            _target_: <function get_optimizer at 0x7f42311a98a0>
+            betas:
+                - "0.9"
+                - "0.999"
+            eps: "1e-08"
+            fused: "False"
+            lr: "1e-05"
+            model: null
+            optim_type: adamw
+            weight_decay: "0.01"
+        net_scheduler:
+            _target_: <class 'fastgen.utils.lr_scheduler.LambdaLinearScheduler'>
+            cycle_lengths:
+                - "10000000000"
+            f_max:
+                - "1.0"
+            f_min:
+                - "1.0"
+            f_start:
+                - "1e-06"
+            warm_up_steps:
+                - "0"
+        precision: bfloat16
+        precision_amp: null
+        precision_amp_enc: null
+        precision_amp_infer: null
+        precision_fsdp: float32
+        pretrained_model_path: ""
+        pretrained_student_net_path: ""
+        sample_t_cfg:
+            log_t_df: "0.01"
+            max_t: "0.999"
+            min_t: "0.001"
+            shift: "5.0"
+            t_list:
+                - "0.999"
+                - "0.769"
+                - "0.0"
+            time_dist_type: shifted
+            train_p_mean: "-1.1"
+            train_p_std: "2.0"
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