Releases: psyb0t/docker-flickies
Releases · psyb0t/docker-flickies
Release list
v0.3.1
v0.3.0
flickies v0.3.0 — frame-accurate `precise` flag on trim + concat New optional `precise: bool` (default `false`) on: POST /v1/video/trim POST /v1/video/concat (plus the matching MCP tools) When false: keeps the existing `-c copy` stream-copy fast path. When true: re-encodes (libx264 CRF 18 / AAC 192k) for frame-accurate boundaries — fixes start_sec snapping to the nearest keyframe and fixes concat of inputs with mismatched codec/timebase/SAR. Defaults preserve prior behavior exactly. Pure additive change. Spec info.version bumped to 0.3.0; Pydantic + Python clients regenerated.
v0.2.0
flickies v0.2.0 operational hardening — structured JSON logging w/ redactor + scope propagation, full HF cache reusable layout, boot-time weight prefetch, X-Request-Id shape validation, bearer auth verified live Live-verified on RTX 3060 12 GB (this turn): wav2lip 23s, gfpgan 83s, latentsync-1.5 477s. Each X-Request-Id correctly threaded through every component log line in the request lifecycle. See CHANGELOG.md for the full list.
v0.1.0
flickies v0.1.0 initial public release — real ML inference (Wav2Lip / Wav2Lip-GAN / GFPGAN / LatentSync 1.5), MCP /v1/mcp with 11 tools, generated Go + Python clients, uv.lock + hash-locked heavy deps, both Docker images build clean Engines live on RTX 3060 12 GB: - wav2lip CPU 44s / GPU 22s on a 3s clip (~3.1 GB VRAM) - gfpgan GPU 49s on a 6s clip (~4.2 GB VRAM) - latentsync-1.5 GPU 170s on a 6s clip (~9.6 GB VRAM peak) See CHANGELOG.md for the full list.