cicalooo-ComfyUI-H3-PowerLoraStack

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2 Commits

Include renames

Author	SHA1	Message	Date
doggeddalle	4ef4de0a5d	Robust adaln, pdd, keymap, modality fixes Multiple improvements and hardening across the Power LoRA stack: - adaln: stronger caching (file-version keys), device-safe grid/basis computation, normalized tensor hashing for basis cache, more robust table-to-table rebasing with residual checks and fallback, better detection of adaLN weight name variants. - apply: validate numeric strengths, reject unsupported passengers, handle loading errors, detect shape mismatches, track rejected/skipped/quantized merges, improved PDD handoff and reporting. - pdd: introduce movable PddBank/PddState, register banks as additional models, thread-local PDD context, strength-scheduled blending and safer interval clamping. - keymap/detect/gain/modality/nodes/branch: add support for varied LoRA key spellings, more validation, skip incomplete adapters, and small bugfixes. - server: surface partial calibration note. - pyproject/README/.gitignore: packaging, docs, and ignore cleanup; add Python >=3.10 requirement and publisher repo fix. - web UI: fix balance button behavior, safer auto-balance error handling and factor sanitization. - tests: add unit tests for adaln, modality and pdd. Overall: better robustness to varied LoRA formats, mixed devices, malformed inputs, and improved user-facing error/reporting.	2026-08-28 02:22:53 +10:00
doggeddalle	0fc822da8c	Add auto-balance & adaLN modality control Introduce auto-balance measurement and per-modality adaLN scaling for MiniMax H3. - Add gain.py to measure LoRA perturbation (rel, factor) and cache results; expose measure_file/measure_state_dict. - Add modality.py to scale adaLN rows by {video,text,audio} and describe/apply those changes. - Add server route /h3_power_lora_stack/balance (h3lora/server.py) and register it in __init__.py to support the UI button. - Integrate measurement and modality scaling into apply_stack and report LoRA rel/factor suggestions. - Add H3AdalnModality node and adaln_modality input in nodes.py. - Update web UI (web/h3_power_lora_stack.js) with auto-balance/restore buttons, server call, badges, and client-side behavior. - Document features and rationale in README.md. These changes keep measurements cached and never boost measured LoRAs (factor clamped ≤1).	2026-08-08 21:15:17 +10:00

Author

SHA1

Message

Date

doggeddalle

4ef4de0a5d

Robust adaln, pdd, keymap, modality fixes

Multiple improvements and hardening across the Power LoRA stack:

- adaln: stronger caching (file-version keys), device-safe grid/basis computation, normalized tensor hashing for basis cache, more robust table-to-table rebasing with residual checks and fallback, better detection of adaLN weight name variants.
- apply: validate numeric strengths, reject unsupported passengers, handle loading errors, detect shape mismatches, track rejected/skipped/quantized merges, improved PDD handoff and reporting.
- pdd: introduce movable PddBank/PddState, register banks as additional models, thread-local PDD context, strength-scheduled blending and safer interval clamping.
- keymap/detect/gain/modality/nodes/branch: add support for varied LoRA key spellings, more validation, skip incomplete adapters, and small bugfixes.
- server: surface partial calibration note.
- pyproject/README/.gitignore: packaging, docs, and ignore cleanup; add Python >=3.10 requirement and publisher repo fix.
- web UI: fix balance button behavior, safer auto-balance error handling and factor sanitization.
- tests: add unit tests for adaln, modality and pdd.

Overall: better robustness to varied LoRA formats, mixed devices, malformed inputs, and improved user-facing error/reporting.

2026-08-28 02:22:53 +10:00

doggeddalle

0fc822da8c

Add auto-balance & adaLN modality control

Introduce auto-balance measurement and per-modality adaLN scaling for MiniMax H3.

- Add gain.py to measure LoRA perturbation (rel, factor) and cache results; expose measure_file/measure_state_dict.
- Add modality.py to scale adaLN rows by {video,text,audio} and describe/apply those changes.
- Add server route /h3_power_lora_stack/balance (h3lora/server.py) and register it in __init__.py to support the UI button.
- Integrate measurement and modality scaling into apply_stack and report LoRA rel/factor suggestions.
- Add H3AdalnModality node and adaln_modality input in nodes.py.
- Update web UI (web/h3_power_lora_stack.js) with auto-balance/restore buttons, server call, badges, and client-side behavior.
- Document features and rationale in README.md.

These changes keep measurements cached and never boost measured LoRAs (factor clamped ≤1).

2026-08-08 21:15:17 +10:00