Remove training config yaml

ltx2_tsantsalize_h100.yaml

@@ -1,111 +0,0 @@
-# tsantsalize IC-LoRA (Phase 3). Same recipe as the other two. 98 pairs (49 img + 49 vid@97f).
-# Buckets reflect this dataset: images 768x1024/1024x768/1440x1920, videos 768x1024x97/1024x768x97.
-model:
-  model_path: /workspace/models/ltx-2.3-22b-dev.safetensors
-  text_encoder_path: /workspace/models/gemma-3-12b-it/
-  training_mode: lora
-  load_checkpoint: /workspace/outputs/ltx2_tsantsalize/checkpoints  # fresh -> step 0
-
-lora:
-  rank: 64
-  alpha: 64
-  dropout: 0.0
-  target_modules:
-    - attn1.to_q
-    - attn1.to_k
-    - attn1.to_v
-    - attn1.to_out.0
-    - attn2.to_q
-    - attn2.to_k
-    - attn2.to_v
-    - attn2.to_out.0
-    - ff.net.0.proj
-    - ff.net.2
-
-training_strategy:
-  name: video_to_video
-  reference_latents_dir: reference_latents
-  first_frame_conditioning_p: 0.0
-
-data:
-  preprocessed_data_root: /workspace/dataset_tsantsalize/.precomputed
-  num_dataloader_workers: 4
-
-optimization:
-  batch_size: 1
-  gradient_accumulation_steps: 4
-  enable_gradient_checkpointing: true    # REQUIRED for 22B even on 94GB
-  max_grad_norm: 1.0
-  optimizer_type: prodigy
-  optimizer_params:
-    decouple: true
-    d_coef: 1.0
-    safeguard_warmup: true
-    use_bias_correction: true
-    weight_decay: 0.01
-  learning_rate: 1.0
-  scheduler_type: constant
-  scheduler_params: {}
-  steps: 3000
-
-acceleration:
-  mixed_precision_mode: bf16
-  quantization: null
-  load_text_encoder_in_8bit: false
-
-flow_matching:
-  timestep_sampling_mode: shifted_logit_normal
-  timestep_sampling_params: {}
-
-validation:
-  interval: 1000
-  skip_initial_validation: true
-  inference_steps: 30
-  guidance_scale: 4.0
-  negative_prompt: "worst quality, blurry, distorted, low quality, artifacts, deformed face, asymmetric features, generic face"
-  prompts:
-    - tsantsalize
-    - tsantsalize
-    - tsantsalize
-  reference_videos:
-    - /workspace/dataset_tsantsalize/reference/pair_00005.png   # natural input (768x1024)
-    - /workspace/dataset_tsantsalize/reference/pair_00007.png   # natural input (768x1024)
-    - /workspace/dataset_tsantsalize/reference/pair_00008.png   # natural input (768x1024)
-  reference_downscale_factor: 1
-  video_dims:                  # 81-frame video val (was F=1 image); 576x768 keeps 0.75 AR + safe VRAM
-    - 576
-    - 768
-    - 81
-  videos_per_prompt: 1
-  frame_rate: 24.0
-  include_reference_in_output: true
-  generate_audio: false
-  seed: 42
-  stg_blocks:
-    - 29
-  stg_mode: stg_v
-  stg_scale: 1.0
-
-checkpoints:
-  interval: 500
-  keep_last_n: -1
-  keep_training_states_last_n: 1
-  save_training_state: full
-  no_resume: false
-  precision: bfloat16
-  filename_prefix: tsantsalize
-
-wandb:
-  enabled: true
-  entity: null
-  project: ltx2-tsantsalize
-  tags:
-    - ltx2
-    - ic-lora
-    - tsantsalize
-    - image+video
-    - h100-fullres
-  log_validation_videos: true
-
-output_dir: /workspace/outputs/ltx2_tsantsalize
-seed: 42