fe830dea2e04e5d47b1fc60668c64d23b1d2f7fc
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.
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