Adds PrismAudioLoRATrainer and PrismAudioLoRALoader nodes enabling
low-rank adaptation of the DiT on paired (video features + audio) datasets.
- LoRALinear wraps nn.Linear with trainable lora_A/lora_B matrices
- Rectified flow training loop with fp16 GradScaler, AdamW, cfg dropout
- Checkpoint saving every N steps + _config.json metadata alongside weights
- _unapply_lora restores base model state after training completes
- Weight-merge loader: delta_W added in-place, no deep copy overhead
- Three target presets: attn_only, attn_ffn (default), full
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
einops-exts, vector-quantize-pytorch, scipy were imported by prismaudio_core
but not listed in requirements.txt.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Ethanfel