| acceleration: |
| load_text_encoder_in_8bit: false |
| mixed_precision_mode: bf16 |
| quantization: null |
| checkpoints: |
| interval: 300 |
| keep_last_n: 10 |
| data: |
| num_dataloader_workers: 2 |
| preprocessed_data_root: /workspace/data/raw/.precomputed |
| flow_matching: |
| timestep_sampling_mode: shifted_logit_normal |
| timestep_sampling_params: {} |
| hub: |
| hub_model_id: TheMindExpansionNetwork/claymation_stoners_LTX_V1 |
| push_to_hub: true |
| lora: |
| alpha: 32 |
| dropout: 0.0 |
| rank: 32 |
| target_modules: |
| - attn1.to_k |
| - attn1.to_q |
| - attn1.to_v |
| - attn1.to_out.0 |
| - attn2.to_k |
| - attn2.to_q |
| - attn2.to_v |
| - attn2.to_out.0 |
| model: |
| load_checkpoint: null |
| model_path: /workspace/models/ltx2/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: 1 |
| learning_rate: 0.0001 |
| max_grad_norm: 1.0 |
| optimizer_type: adamw |
| scheduler_params: {} |
| scheduler_type: linear |
| steps: 2500 |
| output_dir: /workspace/outputs/training_run |
| seed: 42 |
| training_strategy: |
| audio_latents_dir: audio_latents |
| first_frame_conditioning_p: 0.1 |
| name: text_to_video |
| with_audio: false |
| validation: |
| frame_rate: 1.0 |
| generate_audio: false |
| guidance_scale: 4.0 |
| images: null |
| include_reference_in_output: false |
| inference_steps: 20 |
| interval: 100 |
| negative_prompt: worst quality, inconsistent motion, blurry, jittery, distorted |
| prompts: |
| - claymation_stoners sitting on the couch watching television |
| reference_videos: null |
| seed: 42 |
| skip_initial_validation: false |
| stg_blocks: |
| - 29 |
| stg_mode: stg_v |
| stg_scale: 1.0 |
| video_dims: !!python/tuple |
| - 768 |
| - 512 |
| - 1 |
| videos_per_prompt: 1 |
| wandb: |
| enabled: false |
| entity: null |
| log_validation_videos: false |
| project: ltx2-training |
| tags: [] |
|
|
