Introduce PDD/Acc head handling and a robust adaLN grid/basis pipeline.
- Add h3lora/pdd.py: peel Acc/PDD output-head banks from LoRAs, keep banks aside, and blend rows at sample time (PddFinalLayer + attach wrapper) to avoid crashes.
- Refactor h3lora/adaln.py: generate/load silu grids from time_embedder, safetensors, or live embedder; add hashing, basis cache, sidecar support, residual acceptance threshold, and scanning of diffusion_model safetensors.
- Integrate PDD into apply.py, detect.py, nodes.py and README; add .gitignore entries.
Add a ComfyUI plugin implementing a stacked multi-LoRA loader for MiniMax H3. Introduces H3PowerLoraStack and H3LoraInspector node classes, plus modules: adaln (adaLN dense↔curve basis conversion), branch (runtime low-rank branches for quantized weights), apply (stack orchestration), detect (safetensors header introspection), keymap (key normalization), nodes, and a web UI (h3_power_lora_stack.js). Includes pyproject metadata and README. Preserves quantized kernels via branching, rebases adaLN pairs, handles many naming conventions, and provides a browser picker and per-LoRA reporting.