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fix(docker): close remaining airgap gaps for fully offline operation (#70)

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Three fixes to ensure zero network access after docker pull:

1. rembg model allowlist: validate model parameter against the 7
   pre-downloaded models, preventing rembg from attempting to download
   unknown models via a raw API call.

2. GFPGAN/CodeFormer auxiliary models: pre-download facexlib's
   detection_Resnet50_Final.pth and parsing_parsenet.pth at build time.
   These were previously downloaded on first use via basicsr. Symlinks
   in /app/gfpgan/weights/ ensure codeformer-pip also finds them.

3. OpenCV colorize models: pre-download the prototxt, caffemodel, and
   pts_in_hull.npy so the lightweight OpenCV colorizer fallback works
   in addition to the primary DDColor method.

Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
This commit is contained in:
stirling-image
2026-04-14 16:51:46 +08:00
committed by GitHub
co-authored by stirling-image
parent e3bfa6585a
commit 8d8ab4bc45
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docker/Dockerfile
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@@ -187,6 +187,11 @@ COPY --from=builder /app/apps/web/dist ./apps/web/dist
# Create required directories
RUN mkdir -p /data /data/files /tmp/workspace
# Symlink facexlib models for codeformer-pip (expects gfpgan/weights/ relative to CWD)
RUN mkdir -p /app/gfpgan/weights/CodeFormer && \
ln -sf /opt/models/gfpgan/facelib /app/gfpgan/weights/facelib && \
ln -sf /opt/models/codeformer/codeformer.pth /app/gfpgan/weights/CodeFormer/codeformer.pth
# Environment defaults
ENV PORT=1349 \
NODE_ENV=production \