Louis Labeyrie fe830dea2e Fix LoRA loading and conditioning to match training notebook ...

card_generator_adapter.py had two mismatches with the training notebook:

1. LoRA loading: used pipe.load_lora_weights() (diffusers format) but the
   adapter was saved with PEFT's save_pretrained() — keys didn't match,
   so no LoRA weights were actually applied. Now uses
   PeftModel.from_pretrained() + merge_and_unload().

2. Conditioning: built a natural language prompt, but the LoRA was trained
   on json.dumps(meta) serialization. Now uses JSON serialization to match.

2026-03-20 00:28:05 +01:00

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