leffffandClaude Fable 5
5aae1c093a
- Never touch the user's documented dataset: preprocess roots are now env-overridable (KANDINSKY5_OVERFIT_DATA_DIR/_OUTPUT_DIR) and the nightly keeps every artifact under a single test-owned data/kandinsky5_e2e/ root, cleaning only that - Override method.generator_update_interval to 1 in the E2E stage-2 run: with the recipe's 5, a 3-step run performed zero student updates and the exported "student" was stage-1 weights - Harden the media oracle: exact frame count/geometry (closes the SSIM shorter-clip truncation hole), per-frame luma spatial std (solid clip at reference mean scored 15.4 on the old global RGB std), consecutive-frame temporal diff (frozen clips), and MS-SSIM floor recalibrated to 0.95 against measured known-bads (solid 0.9189, frozen 0.8597, good 1.0000); known-bad clips are permanent self-calibrating regressions in fastvideo/tests/workflow/test_kandinsky5_e2e_media_oracle.py - Capability-gate ATTN_QAT_INFER: is_attn_qat_infer_available() now requires an sm_120/sm_121 device in addition to the extension import (CUDA 13 wheels can bundle the extension on H100/GB200, where the first kernel call failed instead of falling back); the real platform resolver is covered in fastvideo/tests/api/test_attn_qat_infer_capability_gate.py - Remove the now-stale golden reference: the generator-update fix changes what stage 2 trains, so the reference must be re-recorded from the corrected run (KANDINSKY5_E2E_WRITE_REFERENCE=1 bootstrap + review) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
FastVideo Documentation
This directory contains the FastVideo documentation built with MkDocs.
Build the docs locally
# Install dependencies
uv pip install -r requirements-mkdocs.txt
# Serve docs with live reload (recommended for development)
mkdocs serve
# Or build static site
mkdocs build
View the docs
Development server (with live reload)
mkdocs serve
Then open your browser to: http://127.0.0.1:8000
Static build
mkdocs build
python -m http.server -d site/
Then open your browser to: http://localhost:8000
Automatic Deployment
Documentation is automatically built and deployed to GitHub Pages when changes are pushed to the main branch via the .github/workflows/infra-docs.yml workflow.
Update documentation dependencies
Edit requirements-mkdocs.in, then regenerate the pinned Linux/Python 3.12 lock file:
uv pip compile requirements-mkdocs.in \
-o requirements-mkdocs.txt \
--python-platform x86_64-manylinux_2_28 \
--python-version 3.12