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prodigy_v2_128_pure_face/samples/step_000000_1.mp4

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prodigy_v2_128_pure_face/samples/step_000100_1.mp4

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prodigy_v2_128_pure_face/samples/step_000200_1.mp4

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prodigy_v2_128_pure_face/samples/step_000300_1.mp4

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prodigy_v2_128_pure_face/training_config.yaml

@@ -10,7 +10,7 @@ data:
   num_dataloader_workers: 2
   preprocessed_data_root: .precomputed
 flow_matching:
-  timestep_sampling_mode: power_law
+  timestep_sampling_mode: shifted_logit_normal
   timestep_sampling_params: {}
 hub:
   hub_model_id: null
@@ -32,22 +32,22 @@ lora:
   - ff.net.2
   - adaln_single.linear
 model:
-  load_checkpoint: /workspace/LTX-2/packages/ltx-trainer/outputs/ltx2_v2v_ic_lora_head_swap_v2_prodigy_128/checkpoints
+  load_checkpoint: null
   model_path: /workspace/models/ltx-2-19b-dev.safetensors
   text_encoder_path: /workspace/models/gemma
   training_mode: lora
 optimization:
   batch_size: 1
   enable_gradient_checkpointing: true
-  gradient_accumulation_steps: 4
+  gradient_accumulation_steps: 1
   learning_rate: 1.0
   max_grad_norm: 1.0
   optimizer_params: {}
   optimizer_type: prodigy
   scheduler_params: {}
-  scheduler_type: linear
-  steps: 2000
-output_dir: /workspace/LTX-2/packages/ltx-trainer/outputs/ltx2_v2v_ic_lora_head_swap_v2_prodigy_128_power_law
+  scheduler_type: constant
+  steps: 15000
+output_dir: /workspace/LTX-2/packages/ltx-trainer/outputs/ltx2_v2v_ic_lora_head_swap_v2_prodigy_128
 seed: 42
 training_strategy:
   first_frame_conditioning_p: 1.0