feat(photo-ai): официальный CodeFormer вендорен, веса на этапе сборки
CodeFormer был написан по API сторонней обёртки с PyPI (rohitkhatri): CodeFormer(..., device=..., fp16=False) и net.device официальный класс не принимает — вызов падал бы с TypeError. В photo-ai/vendor/codeformer вендорен официальный sczhou/CodeFormer (codeformer_arch.py + vqgan_arch.py, b33cc7d, лицензия S-Lab 1.0), устройство передаётся через net.to(device), чекпоинт читается из params_ema. Веса больше не качаются лениво при первом запросе: fetch-weights.py на сборке образа кладёт их в /opt/photo-ai-seed (build-arg PHOTO_AI_PREFETCH, дефолт codeformer), при старте seed_weights() переносит их в том photo-ai-models:/models/weights. Том переживает пересборку образа, BuildKit-кэш не даёт качать повторно, недоступная сеть на сборке не роняет образ.
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