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VapourWiki — Audion VS Engine preset reference (EN)

USER_GUIDE_EN.md

VapourWiki — Audion VS Engine preset reference (EN)

Contents

Full English reference for all 28 presets across 4 palettes. Starts with a decision tree ("which preset for which job"), then per-preset detail: what it does, what material it suits, key parameters, recommended encoder.

Russian counterpart: VapourWiki_RU.md (this document mirrors it). Per-preset technical docstrings live inside each .vpy file in system_core/presets/<palette>/.

Before you start: install the engine

The build ships without VapourSynth, its plugins and the vs-mlrt models — some seventy modules, each under its own licence, close to three gigabytes together. The program installs them itself, from their authors.

Until that is done, not one of the presets described below will run.

Run builder_main.cmd and pick, in order: VAPOURSYNTH (10), VS PLUGINS (11), and on an NVIDIA RTX card VS-MLRT LEAN (14). The order matters: plugins need the engine already in place.

Decision tree — which preset for which job

Read top-down: the first matching case is your preset.

Material symptomPresetPalette
Interlaced legacy (DV, HDV, VHS captures, broadcast TS)qtgmc_deinterlacerestoration
NTSC 29.97 fps with 3:2 pulldown (telecined film)tivtc_ivtcrestoration
High-ISO / night noise, must keep detailmvtools_mcdegrainrestoration
Rainbow / dot crawl on VHS-rip or composite capturederainbow_decrossrestoration
Over-compressed H.264/MPEG (YouTube-rip, WhatsApp, SD broadcast)deblock_h264_artefactsrestoration
Haze / flat low-contrast — need to "lift" the picturedehaze_local_contrastrestoration
ML upscale 1080p → ~4K (sharp faces, fabric texture)vsmlrt_realesrgan_2xrestoration
ML interpolation 24 → 60fps (smoother than Optical Flow)vsmlrt_rife_60fpsrestoration
ML denoise of heavy noise / high-ISO without texture lossdpir_denoiserestoration
Digital noise in shadows only ("night" digital footage)shadow_denoise_sota ⭐precision
Light uniform noise, hardware-agnostic (no CUDA/OpenCL)mild_denoiseprecision
Chroma noise only (dirty blue channel)chroma_cleanupprecision
Banding in gradients (skies, walls)deband_safe or deband_fine_grainprecision
One preset for everything filmicfilmic_rebuild ⭐precision
Prep for color grading in DaVincipregrade_prepprecision
Clean archival master without grainarchive_cleanprecision
Subtle filmic look, safe defaultcinematicfilm_looks
Specific 35mm Kodak (250D / 500T / 50D)film_35mmfilm_looks
16mm organic, lifted shadowsfilm_16mmfilm_looks
Super 8, faded 70s, heavy grainsuper8film_looks
High-contrast desaturated (Se7en, Saving Private Ryan)bleach_bypassfilm_looks
Large-format IMAX feel — minimal grain, gate weaveimax_70mmfilm_looks
Hollywood cinemascope (horizontal blue lens flares + teal shadows)anamorphic_scopefilm_looks
VHS / CRT aestheticvhs_crtretro
90s amateur camcordercamcorder_90sretro
1970s Polaroid SX-70 (candy-bloom, warm cream)polaroidretro

Pipeline scenarios (chain multiple presets via apply-profile-batch or manual runs):

ScenarioSteps
Night timelapse → filmshadow_denoise_sota → filmic_rebuild → cinematic
VHS archive → restored masterqtgmc_deinterlace → derainbow_decross → mvtools_mcdegrain → archive_clean
Old YouTube-rip → project-readydeblock_h264_artefacts → dehaze_local_contrast → pregrade_prep
Telecined NTSC DVD → 24p mastertivtc_ivtc → archive_clean
Modern digital → film lookmild_denoise → film_35mm

PRECISION palette — technical pipeline (8 presets)

Menu order = pipeline logic: Stage 1 (denoise) → Stage 2 (deband) → Stage 3 (compositions).

Stage 1 — denoise

mild_denoise — soft universal denoiser

DFTTest spectral denoiser. Pure CPU, hardware-agnostic — same behaviour on any CPU. Recommended as the first choice when nothing specific is known about the material: light noise, gentle clean-up without risk.

shadow_denoise_sota ⭐ — flagship shadow denoiser

BM3D with float32 pipeline + smooth luma-mask "shadows only". Noise is killed only in zones below shadow_threshold; the rest of the picture is untouched. Chroma planes are always denoised (chroma noise is equally ugly everywhere). Optional grain_back re-adds micro-grain so cleaned shadows do not look "plastic".

chroma_cleanup — chroma-only cleanup

DFTTest on planes=[1,2]. Luma untouched. Use when "the blue channel is dirty" (typical on old compact cameras, low-bitrate AVCHD).

Stage 2 — deband

deband_safe — safe debander

neo_f3kdb with light settings, no grain. Removes banding in gradients (skies, walls, night lighting) without softening edges.

deband_fine_grain — deband + fine-grain restore

Same neo_f3kdb + AddGrain. Light monochromatic grain after debanding — avoids the "too clean" look characteristic of cheap compression.

Stage 3 — compositions

filmic_rebuild ⭐ — flagship composition

Full chain: BM3D denoise → neo_f3kdb deband → 3-zone luma grain (shadows / midtones / highlights). Zonal grain — heavier in shadows (like real film), lighter in highlights. Recommended as "one preset for everything filmic".

archive_clean — neutral archival master

DFTTest + neo_f3kdb. No grain. Goal — maximally clean, "flat" picture for archiving. Do not use if downstream grading is planned (grading works better on grainy material).

pregrade_prep — handoff to DaVinci

Minimum touch: light DFTTest only. No deband, no grain. Goal — give Resolve the cleanest source so the colorist isn't grading on top of compression artefacts.

FILM_LOOKS palette — film emulations (7 presets)

Each look uses the shared audion_lib library (MTF softening, halation bloom, zone grain, gamma curve, black-lift, desaturation).

cinematic — universal subtle filmic

Safe default. Light MTF softening + halation + micro-grain. Not tied to a specific stock. Works on any modern digital material.

film_35mm — Kodak 35mm with stock variants

Emulates real Kodak stocks: 250D (daylight balanced), 500T (tungsten), 50D (fine grain). Each stock has its own gamma curve, balance, grain density.

film_16mm — organic, grainier

Lifted blacks, more pronounced grain, softer than 35mm. Suits "documentary" / arthouse aesthetics.

super8 — strongest look

Heaviest grain, softest optics, faded 70s. For music videos / stylized inserts.

imax_70mm — large-format IMAX feel ⭐

Opposite of Super 8: minimal grain, maximum resolution, very soft halation on highlights, optional 1px gate weave (deterministic, seed=42 → reproducible). The huge frame of real 70mm IMAX → each silver grain is tiny relative to the picture. Suits shots that should feel "epic", not "filmic".

anamorphic_scope ⭐ — Hollywood cinemascope

Anamorphic optics signature: long horizontal blue lens flares on highlights only (those "horizontal blue streaks across the sky" in Abrams / Nolan / Villeneuve films, made by Panavision / Hawk / ARRI Master Anamorphic). Plus subtle teal-cool shadows for the classic blockbuster look.

In our implementation: highlight-mask (flare_thr) → horizontal low-pass blur of length flare_len → blue tint (R 10% / G 55% / B 100%) → additive merge over the original. Then shadow-masked teal shift (R −10% / G +5% / B +12%). All in 16-bit RGB so streaks don't clip.

bleach_bypass — high-contrast desaturated

"Se7en" / "Saving Private Ryan" look. High contrast, silver greys, blown highlights. Hard stylistic choice.

RETRO palette — analog character (3 presets)

vhs_crt — VHS / CRT

Chroma bleed (horizontal color smear), soft optics, analog noise. Emulation of VHS playback through a CRT TV.

camcorder_90s — amateur camcorder

Softer than VHS, slight overexposure, minimal chroma bleed. 90s home video aesthetic.

polaroid ⭐ — 1970s Polaroid SX-70

Strong candy-bloom on highlights, lifted blacks (never goes to true black, creamy fade), warm gamma push, mild desaturation, radial edge vignette. Five composited steps — what would take a stack of 5–6 effects to build manually in NLE.

RESTORATION palette — supercannons (10 presets, Phase 18.B + 18.B-ML)

What's missing or weak in Adobe Premiere / DaVinci Resolve.

qtgmc_deinterlace — reference-grade deinterlace

havsfunc.QTGMC (NNEDI3 + MVTools motion estimation). Reconstructs progressive frames from interlaced source via neural-network upscaling of each field + motion-compensated temporal smoothing. Better than any NLE out-of-the-box.

tivtc_ivtc — inverse telecine

TIVTC.TFM (field matching) + TIVTC.TDecimate (drop duplicate). Reference-quality 3:2 pulldown removal: NTSC 29.97i → 23.976p. Recovers the original 24p film master from a telecined source.

mvtools_mcdegrain — motion-compensated denoise

MVTools motion estimation → MDeGrain temporal averaging along motion vectors. Removes noise WITHOUT losing detail — what Topaz Video Enhance AI and Neat Video do internally. DaVinci Temporal NR is a coarse implementation of the same; here you get reference-grade.

derainbow_decross — NTSC composite cleanup

MVTools-based motion-compensated chroma-only smoothing. Removes rainbow / dot crawl / cross-color on composite-capture material (VHS-rip, U-matic, BetaSP, S-Video → SDI). Luma untouched.

deblock_h264_artefacts — over-compression rescue

havsfunc.Deblock_QED — edge-aware deblocker for H.264 / MPEG-2 / MPEG-4. Smooths 8x8 block boundaries, ringing around edges, mosquito noise. Edge-aware — does not smear real detail.

dehaze_local_contrast — clarity without halos

Luma-only local contrast via high-pass + zone-weighted MaskedMerge. Zone-mask (parabolic, peak at midtones) prevents blown highlights and crushed shadows. Color does not shift (luma-only). 16-bit math.

Encoders — my patterns

(Audion default workflow per the 2026-04-28 discussion)

Quality ladder (same 14 / 17 / 21 tiers across software, NVENC, QuickSync, and AMF): 14 → 17 → 21, three distinguishable steps without overlap.

ProfileWhen to use
h264_crf14 / h265_crf14 ⭐ defaultSemi-lossless archive, master for downstream work. Audion default since 2026-04-28.
h264_crf17 / h265_crf17"Almost invisible" lossy, final master
h264_crf21 / h265_crf21Web preview / proxy / preview
prores_lt ⭐Audion default ProRes — no keying, made for grading and round-trip
prores_lt_mxf ⭐ProRes LT in MXF wrapper — for Adobe Premiere / Avid round-trip
prores_422If you need slightly more bitrate than LT
prores_422_mxfProRes 422 in MXF wrapper for Adobe / Avid handoff
prores_422hqOnly if keying is planned
prores_422hq_mxfHQ + MXF for broadcast / Avid finishing
dnxhr_lb / _sq / _hq / _hqxAvid-style DNxHR (LB low / SQ standard / HQ high / HQX 10-bit)
h264_nvenc_q14 / _q17 / _q21NVENC hardware H.264 on NVIDIA. Removes the libx264 CPU bottleneck — VS filters don't compete with encode. CQ ≈ CRF. 8-bit yuv420p.
h265_nvenc_q14 / _q17 / _q21NVENC hardware HEVC, 10-bit p010le. Ideal for full pipeline on NVIDIA: VS filtering on CPU/CUDA + encode on NVENC = no CPU bottleneck.
h264_qsv_q14 / _q17 / _q21Intel QuickSync H.264. Good for Intel iGPU batch/proxy work when CPU should stay free for VapourSynth.
h265_qsv_q14 / _q17 / _q21Intel QuickSync HEVC, p010le for 10-bit output where supported.
h264_amf_q14 / _q17 / _q21AMD AMF H.264 via CQP, matching the same visual ladder.
h265_amf_q14 / _q17 / _q21AMD AMF HEVC, p010le output; useful on Radeon hosts.

Rule: for any non-final pass → prores_lt / prores_lt_mxf or DNxHR if the receiving app prefers it. For final delivery → h264_crf14 / h264_crf17 (software, best density per bit) OR the matching hardware ladder for the host (nvenc, qsv, amf) when wall-time matters.

When to use hardware encode vs software

ScenarioEncoder
Heavy VS pipeline (filmic_rebuild, mvtools_mcdegrain) on NVIDIANVENC — CPU is freed for the VS filter, total wall-time drops 30-50%
Final delivery where maximum bit density matterslibx264/libx265 CRF — software encoder is still slightly more efficient at low CRF
Intel iGPU host / laptop batchQuickSync — good throughput with low CPU pressure
AMD/Radeon hostAMF — same 14/17/21 CQP ladder, avoids CPU encode bottlenecks
Big batch over hundreds of filesNVENC / QSV / AMF — time savings compound
No working hardware encoderSoftware only (h264_crf* / h265_crf*)

NVENC requires: NVIDIA driver R525+. Quality: NVENC on Ada/Blackwell (RTX 40/50) is comparable to libx264 medium at the same CQ; on older generations (Pascal/Turing) software CRF wins slightly on bitrate efficiency for the same quality, but NVENC is still many times faster.

Install & service scripts — when to run what

There are many scripts in install/, and not all are obvious. This section is the "when do you call which" map with concrete arguments and examples. Every script comes as a .cmd (thin wrapper, resolves portable PowerShell) + .ps1 (full logic) pair. Usually you launch them via builder_main.cmd (FZF menu), but any can be run directly via double-click or CLI.

Entry point: builder_main.cmd

Main menu of service operations. FZF navigation (if system_core\fzf.exe exists), otherwise CMD fallback with letter hotkeys. Menu map:

#ItemWhat it doesUnderlying script
[01]Build portable env CMD builderinitial build of runtime/Build_Portable_Env_Build.cmd
[02]Build portable env PSalt PowerShell-based builderBuild_Portable_Env.ps1
[03]Install portable offlineoffline install from a pre-downloaded wheelhouseinstall_portable_offline.cmd
[04]Verify portable envorchestrator-Python sanityverify_portable_env.cmd
[05]Update FZFbump fzf.exe to latestlauncher-tools-update_fzf.cmd
[06..08]Licensescollect / prune / dedupe license filessystem_core\license\Run-*.cmd
[09]Make release archiverelease zip excluding output/, logs/, ._runtime/, install/download/, private MEMORY.mdmake_release_archive.cmd
[04]PowerShellportable pwsh 7 → system_core\powershell\Install-Portable-PowerShell.cmd
[10]VapourSynthlatest VS stable + latest Python 3.12.x embed → system_core\vapoursynth\Install-Portable-VapourSynth.cmd
[11]VS pluginsvsrepo plugin set (incl. bm3dcuda and znedi3 by default)Install-VS-Plugins.cmd
[12]FFmpegExact-stable Gyan by driver policy; BtbN rolling opt-in → Tools\ffmpeg\bin\Install-Portable-FFmpeg.cmd
[13] ⭐VS-MLRT LEANfresh-download vs-mlrt TensorRT bundle, clean plugins\vsmlrt, lean-trim to current SMInstall-VS-mlrt.cmd /LEAN
[14]VS-MLRT FULLfresh-download same install, no trim — for USB distributionInstall-VS-mlrt.cmd /FULL
[70]Clean install cacheremove transient install downloads, staging dirs, and bytecode caches while preserving portable payloadsClean-Install-Cache.cmd
[90..99]Open / Projectexplorer for subfolders / jump to project launcher—
[00]Exit——

From-scratch order: [01] -> [03] -> [04] -> [10] -> [11] -> [12] -> (optional) [13] -> [70]. After all install steps, run runtime\python.exe system_core\doctor.py once — it should be all green.

install\Install-Portable-VapourSynth.{cmd,ps1} — latest VS stable + own Python 3.12.x

Resolves the latest stable VapourSynth release and latest Python 3.12.x embed, cleans system_core\vapoursynth\, installs the matching VapourSynth wheel, and drops the portable.vs marker so vsrepo enters portable mode. After the wheel install it explicitly creates and prints the active plugin dir from vapoursynth.get_plugin_dir(); VS R74+ no longer treats legacy vs-plugins\ as the real autoload target. Uses Expand-7zArchive (via Ensure-7zip.ps1) — ~3× faster than Expand-Archive on large archives.

At the end calls Repair-PipShims.cmd — fixes shebangs in Scripts\*.exe immediately after wheel install (a fresh install needs no manual fix).

Flags: /R <rev> (e.g. /R R76 to pin version). /F is accepted for compatibility; current installer already refreshes by default.

install\Install-VS-Plugins.{cmd,ps1} — VapourSynth plugins via vsrepo

Installs:

Also installs vsutil via pip (imported at the top level of havsfunc.py — without it, Restoration presets crash with ModuleNotFoundError).

Update-safe: vsrepo update refreshes the package database, the installer cleans the active vapoursynth.get_plugin_dir() path while preserving plugins\vsmlrt if present, then vsrepo install installs the requested list again. Safe to re-run after updating the plugin list.

install\Install-Portable-FFmpeg.{cmd,ps1} — BtbN GPL latest, Gyan.dev fallback

Installs a driver-compatible exact-stable Gyan build by default. A BtbN rolling release-branch build remains available only by explicit opt-in. Drops ffmpeg.exe / ffprobe.exe / ffplay.exe into Tools\ffmpeg\bin\. Fast extraction via Expand-7zArchive.

Flags: /V <variant> (gpl default / lgpl / gpl-shared), /F (force).

install\Install-VS-mlrt.{cmd,ps1} — ML stack (Phase 18.B-ML)

Only for those who want the ML presets (vsmlrt_realesrgan_2x, vsmlrt_rife_60fps, dpir_denoise). Installs the full TensorRT bundle: VSTRT + VSORT + VSOV + VSNCNN + ONNX runtime + TensorRT runtime DLLs + the complete ONNX model collection. After extraction, Audion moves OpenVINO/vsov out of the active autoload folder to system_core\vapoursynth\disabled_plugins\vsmlrt-openvino: TensorRT / TensorRT-RTX / ONNX Runtime remain active, while Windows Bad Image 0xc0e90002 from OpenVINO DLLs cannot break startup.

Working set after install: ~3.5 GB at /LEAN (default), ~10 GB at /FULL. Every run fresh-downloads the selected vs-mlrt assets and cleans only the plugins\vsmlrt subtree before copying runtime DLLs, scripts and models. Extraction via 7zr.exe (needed for BCJ2-filtered streams in TRT runtime DLLs — py7zr cannot decode them).

Full update order: if you run [10] VAPOURSYNTH or [11] VS PLUGINS, run [13] VS-MLRT LEAN again before any Full all-presets smoke. ML presets should never be validated against an older MLRT layer after the base VS runtime/plugins were refreshed.

Flags:

After install, the backend in ML presets is selected automatically: TRT (if NVIDIA + matching TRT runtime) → ORT_DML (DirectML, any DX12 GPU including Intel Xe / AMF) → ORT_CPU. Cross-vendor stable (via audion_lib.vsmlrt_backend_chain() — on non-NVIDIA we don't even attempt to compile a TRT engine, saving 30–120 s).

Annoyance: Windows Defender blocks the unsigned openvino_intel_npu_plugin.dll. The script removes it automatically after extract (not needed on NVIDIA / DirectML setups).

install\Clean-Install-Cache.{cmd,ps1} — disk reclaim

Removes transient install downloads (.7z, .zip, .tar.*, .msi, .exe), exact installer staging dirs, and Python bytecode caches outside payload/user-data zones. Preserve list inside install\download\ (always kept):

When you need it: after a successful [13] VS-MLRT LEAN or [14] VS-MLRT FULL (~3.5 GB compressed archives), periodically after Install-Portable-* (fresh FFmpeg build / new VS R75+).

Philosophy: storage > bandwidth. Re-download = ~1.5 minutes on gigabit; 3.5 GB on disk sit there forever. Working set after lean+cleanup: ~3.5 GB instead of 10.

install\Repair-PipShims.{cmd,ps1} — fix Scripts\*.exe after a move

Symptom: after moving the project to a different drive letter / path / machine, vspipe.exe and other Scripts\*.exe silently exit 1 with no output. doctor.py shows [FAIL] vspipe runs while python.exe -c "import vapoursynth" works fine.

Cause: pip embeds an absolute shebang (#!"<full python.exe path>") inside each Scripts\*.exe. After the move, that path no longer exists.

What to do: run install\Repair-PipShims.cmd. It rewrites the shebang in every Scripts\*.exe to the current system_core\vapoursynth\python.exe. The launcher stub and trailing zip are left intact.

Flags:

In normal operation not needed: system_core\engine\selfheal.py is hooked into the start of main.py and doctor.py — it reads the first 16 KB of vspipe.exe on startup, parses the embedded shebang, and on mismatch silently calls Repair-PipShims.cmd. Idempotent via AUDION_SELFHEAL_DONE=1. Manual repair is needed only if you hit vspipe outside main.py/doctor.py (e.g. a direct CLI bench script that doesn't go through self-heal).

install\Bench-CUDA.{cmd,ps1} — pure-pipeline CPU vs CUDA on BM3D

What it benches: two BM3D-heavy presets (shadow_denoise_sota and filmic_rebuild), each run twice — on CPU and on CUDA. Pipeline vspipe → ffmpeg -f null (no encoding). No-encode is needed so libx264 doesn't eat all wall-time on a fast multi-core CPU and hide the CUDA win.

How to use:

:: Drag-n-drop a file onto Bench-CUDA.cmd, or:
install\Bench-CUDA.cmd "C:\clips\test.mov"
install\Bench-CUDA.cmd "C:\clips\test.mov" 2.5    :: second arg = sigma (default 2.5)

Output: 4 timing lines + a summary table CPU/CUDA + Δ %. Nothing is written to disk.

How to read it:

install\Bench-AllPresets.{cmd,ps1} ⭐ — smoke across all 28 presets

Walker over system_core\presets\<palette>\*.vpy. Every preset is run through vspipe -c y4m --end <Frames-1> | ffmpeg -f null — pure pipeline, no disk writes. Smoke goal: confirm that (a) the preset parses, (b) every plugin namespace it needs resolves, (c) frames make it to ffmpeg without exceptions.

How to use:

:: Drag-n-drop, or:
install\Bench-AllPresets.cmd "C:\clips\test.mp4"
install\Bench-AllPresets.cmd "C:\clips\test.mp4" 30 sweep auto

Current local references:

Arguments:

  1. Video path (required)
  2. Frames per preset (default 30)
  3. Cuda mode: off / on / sweep (default off)
  1. ML backend: auto / trt / ort_dml / ort_cpu / sweep (default auto)

How many rows you get:

At the end — Summary Total / PASS / FAIL; for -Cuda sweep a CPU vs CUDA Δ % table over Precision presets, plus a JSON report at logs\bench_all_presets_<TS>.json.

When to run it:

Hidden-but-important details:

install\Ensure-7zip.ps1 — dot-source helper for 7-Zip

Not run directly — other *.ps1 files dot-source it:

. "$PSScriptRoot\Ensure-7zip.ps1"
$exe = Ensure-7zr -ProjectRoot $ProjectRoot
Expand-7zArchive -Archive $zip -Destination $dst -ProjectRoot $ProjectRoot

Build env steps [01]/[02] explicitly install 7zr.exe (~1.5 MB, pure 7z extractor with BCJ2 support) and 7za.exe (~1.7 MB, universal — zip / 7z / tar / gz / bz2 / xz) into system_core\7zip\ before Python setup. Fetched once, then travels with the project.

Why we need it:

Quick "when do I call what" map

ScenarioScripts in order
Fresh install from scratchbuilder_main → [01] → [10] → [11] → [12] → [13] → opt. [14] → [16] → doctor.py
Moved the project to another drive / machinedoctor.py (selfheal calls Repair-PipShims itself) — or manually install\Repair-PipShims.cmd
Need/update the ML stackbuilder_main → [13] VS-MLRT LEAN after [10] / [11] / [12], then Bench-AllPresets with -MlBackend sweep
Want to confirm CUDA is actually aliveinstall\Bench-CUDA.cmd <video> — measures real wall-time delta
Want to confirm all 28 presets work locally without NVIDIAsystem_core\powershell\pwsh.exe -NoLogo -NoProfile -ExecutionPolicy Bypass -File install\Bench-AllPresets.ps1 -ProjectRoot . -InputFile <video> -Frames 1 -Cuda off -MlBackend ort_cpu
RTX / TensorRT validationsystem_core\powershell\pwsh.exe -NoLogo -NoProfile -ExecutionPolicy Bypass -File install\Bench-AllPresets.ps1 -ProjectRoot . -InputFile <video> -Frames 1 -Cuda sweep -MlBackend auto
Disk is tightbuilder_main → [16] CLEAN INSTALL CACHE — frees ~3.5 GB compressed archives
Updated NVIDIA driver / swapped GPUdoctor.py (live bm3dcuda smoke) → Bench-CUDA → Bench-AllPresets (TRT engines rebuild on first ML preset)
Added a new presetBench-AllPresets for smoke + register in engine/presets.py + add a launcher entry + update this wiki
Preparing release archivebuilder_main → [09] Make release archive — output excludes output/, logs/, ._runtime/, install/download/, release/, API keys, and private MEMORY.md; MEMORY.example.md stays public

Additional — full reference

AI / ML (Phase 18.B-ML) — vs-mlrt stack

These presets use vs-mlrt (ONNX inference inside VapourSynth). Backend is auto-selected: trt (TensorRT, NVIDIA, fastest) → ort_dml (DirectML, any DX12 GPU including Intel Xe / AMF) → ort_cpu (CPU fallback). Install via builder_main.cmd → [13] VS-MLRT LEAN (~3.5 GB download, ~6 GB extracted).

vsmlrt_realesrgan_2x ⭐ — ML 2x upscale

Real-ESRGAN — the de-facto reference for ML video super-resolution. On 1080p input it produces ~3840×2160 with face/fabric sharpness that's unreachable via Lanczos / Spline36 / Resolve SuperScale.

soft_hd_rebuild_2x — cleanup + ML reconstruction for soft HD

For formally-HD footage whose real detail is closer to 480-720p because of soft optics, binning, aggressive OLPF, old codecs, or archive-generation loss. It cleans the frame first, runs Real-ESRGAN 2x, then applies a conservative luma detail pass.

vsmlrt_rife_60fps ⭐ — ML frame interpolation

RIFE 4.x — modern ML model for frame interpolation. Understands content (not just pixel motion) → handles occlusion, transparent objects, fades correctly. Visibly smoother than Resolve Optical Flow on complex motion.

dpir_denoise — ML denoise for heavy noise

DPIR — a deep network for denoise that preserves skin and fabric texture where BM3D / DFTTest start to smear. Use it when BM3D "kills" detail on high-ISO material.

Last updated: 2026-05-27 — 28 presets across 4 palettes, Soft HD Rebuild 2X in Restoration; local CPU/ORT smoke 28/28 PASS (Frames=1, Cuda=off, MlBackend=ort_cpu); RTX 5070 CUDA/auto smoke 36/36 PASS (Frames=1, Cuda=sweep, MlBackend=auto).

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