PhysEdit/PAWBench-A09-Ratio-Control-LoRA

PAWBench A-09 ratio-control LoRA conditions (Issue #299)

Model staging surface for the A-09 model-level ratio-control case study (PhysEdit#293, training execution issue #299). Lives under the PhysEdit org (public) by the same operator decision as the companion data repo PhysEdit/PAWBench-A09-Ratio-Control-Data.

What this repository contains

• conditions/lora20|lora50|lora80/ — the three formal matched conditions: Wan2.2-I2V-A14B LoRA adapter pairs trained with P_train(falls_left) = 0.2 / 0.5 / 0.8 over the complete 200-clip accepted A-09 bank (every clip in every condition, matched exposures and optimizer budget; only the exposure manifest differs).
• conditions/lora100/ — an operator-directed extension arm trained on left-falling clips only (20× each of the 100 left clips, right clips zero exposure). It deliberately breaks the every-clip-in-every-condition invariant of the formal design and must not be analyzed as part of the matched trio.
• Each condition folder holds high_noise__step-2000.safetensors, low_noise__step-2000.safetensors, per-expert training_args.json, a reload/minimal-render validation receipt, the validation render, and a completion receipt binding dataset/exposure/config/framework/base hashes.
• checkpoint_manifest.json — top-level manifest binding every condition to its adapter hashes, frozen-recipe hash, dataset hashes, base revision 206a9ee1, and DiffSynth-Studio commit a1a20f7d.

Loading contract (one logical condition = BOTH adapters)

from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
pipe = WanVideoPipeline.from_pretrained(...)  # Wan-AI/Wan2.2-I2V-A14B @ 206a9ee1
pipe.load_lora(pipe.dit,  "conditions/lora20/high_noise__step-2000.safetensors", alpha=1)
pipe.load_lora(pipe.dit2, "conditions/lora20/low_noise__step-2000.safetensors", alpha=1)

Loading only one expert adapter is an incomplete condition and invalid for any comparison.

What this repository is NOT

• Not benchmark inputs, not training data (see the data repo), and not evidence that probabilistic alignment works: checkpoint existence and the single-seed validation renders are not paper evidence. The formal Base-vs-LoRA K=50 evaluation belongs to the downstream issue (#300) and a separate Claim Gate.

No credentials or secrets are stored here; receipts record credential environment variable names only.