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Releases: psyb0t/docker-flickies

v0.3.1

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@github-actions github-actions released this 02 Jul 05:55
flickies v0.3.1 — DEBUG observability pass + engine-unload memory-lea…

v0.3.0

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@github-actions github-actions released this 29 Jun 09:07
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

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@github-actions github-actions released this 21 Jun 22:49
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

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@github-actions github-actions released this 21 Jun 21:18
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.