- Parallelize all 14 model downloads using ThreadPoolExecutor (6 workers)
Downloads were sequential (~30 min), now concurrent (~5-10 min)
- Switch Docker cache from type=gha to type=registry (GHCR)
GHA cache has 10 GB limit causing blob eviction and corrupted builds
Registry cache has no size limit and persists across runner instances
- Add pip download cache mounts to all pip install layers
Prevents re-downloading packages when layers rebuild
Reference new parseApiError, formatZodErrors, global error handler,
and playwright.docker.config.ts infrastructure. Remove stale
partialTools concept since every tool maps to exactly one bundle.
The Playwright-based Docker e2e tests use test.describe() which is
incompatible with Vitest. Exclude tests/e2e-docker/ from Vitest's
test discovery, matching the existing tests/e2e/ exclusion.
- Eliminate [object Object] errors across all 20+ API routes
- Global Fastify error handler with full stack traces
- Image-to-PDF auth fix (Object.entries → headers.forEach)
- OCR verbose fallbacks with engine reporting
- Split multi-file with per-image subfolders in ZIP
- Batch support for blur-faces, strip-metadata, edit-metadata, vectorize
- Docker LOG_LEVEL=debug, PYTHONWARNINGS=default
- 20 Playwright e2e tests pass against Docker container
- Replace [object Object] errors with readable messages across all 20+ API
routes by normalizing Zod validation errors to strings (formatZodErrors)
- Add parseApiError() on frontend to defensively handle any details type
- Add global Fastify error handler with full stack traces in logs
- Fix image-to-pdf auth: Object.entries(headers) → headers.forEach()
- Fix passport-photo: safeParse + formatZodErrors, safe error extraction
- Fix OCR silent fallbacks: log exception type/message when falling back,
include actual engine used in API response and Docker logs
- Fix split tool: process all uploaded images, combine into ZIP with
subfolders per image
- Fix batch support for blur-faces, strip-metadata, edit-metadata,
vectorize: add processAllFiles branch for multi-file uploads
- Docker: LOG_LEVEL=debug, PYTHONWARNINGS=default for visibility
- Add Playwright e2e tests verifying all fixes against Docker container
Revised bundles so every tool belongs to exactly one bundle with no
partial functionality. OCR and noise-removal fully locked until
their bundle is installed. passport-photo includes mediapipe in the
Background Removal bundle. restore-photo gets its own bundle.
Development/testing always via Docker container.
Address single-venv strategy (avoid two-venv fragility), shared
package uninstall via reference counting, tool route registration
for uninstalled features (501 instead of 404), multi-bundle tool
graceful degradation, frontend feature status propagation, and
local development compatibility.
Reduce Docker image from ~30GB to ~5-6GB by making AI features
downloadable post-install. Users cherry-pick feature bundles
(Background Removal, OCR, etc.) from the UI after pulling.
Allows re-triggering the release workflow after a Docker push failure
without needing new commits. If semantic-release produces no new version
the workflow now uses the latest existing git tag for the Docker build.
Prevents git on Windows (core.autocrlf=true) from checking out shell
scripts and Dockerfiles with CRLF line endings, which causes a
bad interpreter error when Docker runs entrypoint.sh on Windows.
Set U2NET_HOME=/opt/models/rembg so rembg models pre-downloaded at
build time as root are found at runtime by the non-root ashim user.
Without this every fresh container re-downloaded the 973 MB BiRefNet
models on first background-removal request.
Apply the same fix to PaddleOCR: download to /opt/models/paddlex and
symlink into both /root/.paddlex and /app/.paddlex so PaddleX finds
models regardless of which HOME gosu resolves at runtime.
Fall back to per-request spawning in bridge.ts when the persistent
dispatcher crashes mid-request (e.g. OOM loading a large ONNX model),
so the operation succeeds instead of surfacing "Python dispatcher
exited unexpectedly" to the user.
Improve entrypoint.sh permission warning to mention Windows bind mounts
as the likely cause.
- ci.yml: skip lint/test/docker on docs-only and markdown-only pushes
- deploy-docs.yml: only rebuild GitHub Pages when apps/docs/** changes
- README.md: updated key features and content
- images: updated dashboard screenshots, removed stale images
When SKIP_MODEL_DOWNLOADS=true the download script never runs, so
/opt/models was never created and the subsequent chown -R ... /opt/models
failed with exit code 1. mkdir -p it alongside the other required dirs.
esbuild (used by Vite) crashes under QEMU amd64 emulation on Apple Silicon,
the same way the Go runtime did. Building the frontend on the native platform
is safe because the output (HTML/CSS/JS) contains no architecture-specific code.
- Fix docker run commands (was pointing to old stirlingimage/stirling-image)
- Add Docker Images section with all available tags for both registries
- Add GHCR badge alongside Docker Hub badge
- Remove rename banner (rename is complete)
Replace CGO_ENABLED=0 (which fails because gioui.org requires CGO on Linux)
with a proper C cross-compiler approach using Debian multi-arch packages.
Running caire-builder with --platform=\$BUILDPLATFORM avoids QEMU crashes on
Apple Silicon; the C cross-compiler bridges the CGO gap for the target arch.
Also adds SKIP_MODEL_DOWNLOADS=true to the CI docker build job to prevent
HuggingFace CDN 504s in CI (image structure is what matters there).
The caire-builder stage now runs the Go toolchain on the native build
platform instead of under QEMU emulation. For cross-arch builds
(arm64 host → amd64 image) CGO_ENABLED=0 avoids needing a full C
cross-toolchain; the display window is unused in server mode anyway.
The binary is staged to /tmp/caire so the COPY path is stable across
both native and cross-compiled builds.
Run both short-range and full-range MediaPipe models and merge results,
then apply non-maximum suppression to remove duplicate bounding boxes.
Fixes missed faces in group photos where the single-model loop exited
early after the first positive detection.
ashim-hq