- I am writing Yarn Spinner dialogue that will be translated: what is a line tag, when must I add them, and how do I generate them? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Yarn Spinner for Unity documentation says compiler-generated line tags are not guaranteed stable, so lines to be translated need explicit #line: tags; the Unity importer (90fb4c46) only allows strings-table generation when the project has no compile errors and no implicit line IDs; the compiler's random tagger (3a5b7343) writes 'line:' plus a 7-digit zero-padded hex value below 0x1000000, so generated tags always start with 0, while the docs' examples show 6 hex digits.
- Which ADM (BS.2076) versions and profiles does the EBU ADM Renderer accept, what is its licence, and how do BS.2125 serial ADM and BS.2127 relate to it? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
At commit 5bb17b42 the EBU ADM Renderer documents BS.2076-1 as its ADM target and, from v2.0, calls itself the reference implementation of BS.2127; files declaring ADM version 2 or later render with a 'not standardised' warning (preliminary BS.2076-2 support is unreleased), serial ADM (BS.2125) is not mentioned in the README, changelog or render command, and the licence is BSD 3-Clause Clear with an explicit exclusion of patent licences.
- What changed between ATSC A/85:2013 and A/85:2026-07 for dialogue-gated measurement, target loudness, true peak and streaming? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
ATSC A/85:2026-07 keeps the 2013 exchange targets (-24 LKFS with about +/-2 dB, true peak below -2 dBTP) but adds an approximately +/-0.5 dBTP meter tolerance not present in the 2013 section 6, adds Annex L (streaming) and Annex M (one-page summary), and states that BS.1770-3/-4/-5 share identical loudness and true-peak algorithms; Annex M says long-form dialogue level is measured with BS.1770-1 without the relative gate and describes a -23 to -27 LKFS practical range for streaming operators.
- What is the standing of the WebXR Device API and how do its reference-space types line up with OpenXR's? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
The WebXR Device API at /TR/webxr/ is a W3C Candidate Recommendation Draft dated 9 June 2026 (not a Recommendation) and defines five reference-space types (viewer, local, local-floor, bounded-floor, unbounded) with spatial-tracking consent requirements; OpenXR's spaces chapter (release-1.1.65) uses VIEW, LOCAL, LOCAL_FLOOR and STAGE tokens. Names overlap, but no normative mapping between the two sets is stated in the texts read.
- What exactly does Scott Enderle argue about Reagan et al.'s 'six basic emotional arcs', and what does his own notebook show? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Scott Enderle's svd-noise notebook (repository MIT, commit a8cf6da3; self-described work in progress) argues that the shapes Reagan et al. report are what SVD produces from noise-like (Brownian) series, so fiction sentiment series may be best modelled as a kind of noise and research should move to more local questions; it does not claim plot structure is absent.
- How are emotional arcs computed from text in Reagan et al. 2016, what do they not measure, and what do critics say? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Reagan et al. (arXiv 1606.07772v3) build emotional arcs for 1,327 Project Gutenberg books by sliding 10,000-word windows scored with the labMT word list (Hedonometer) and decomposing them with SVD and clustering; they note dictionary methods do worse than random on single sentences and say the arc measures the emotional trajectory of the syuzhet, not the plot (fabula).
- What technical problems did a published critique find in the Syuzhet package, and what licence does the package carry? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Annie Swafford's 2015 critique reports that the Syuzhet package merged sentences around dialogue in Bleak House and that one method produced NaN values on that text (author-reported); Syuzhet 1.0.7 (DESCRIPTION dated 2023-8-11, commit 73ec7d85) declares 'License: GPL-3' in DESCRIPTION, but the repository root has no LICENSE file and GitHub reports no licence.
- What do the BBC Editorial Guidelines and Ofcom's Fairness section require for reconstructions, factually based drama and archive material, and where do the two codes differ? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
BBC Editorial Guidelines 3.4.30 require reconstructions in factual programmes to avoid misleading over-dramatisation, rest normally on substantial verifiable evidence, be identifiable (labels or cues such as slow motion or grading) with obvious start and end, and generally not be staged for current-event news; 3.4.31 allows fictional characterisation and dialogue in factually based drama while expecting evidence-based portrayal. Ofcom's Section Seven (snapshot 16 Nov 2025) frames factually-based drama as a fairness obligation to individuals and organisations (7.9, 7.10) rather than a labelling rule.
- How do Interop and SMPTE DCPs differ in practice, and what do libdcp's verifier (used by DCP-o-matic) and ClairMeta check? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
libdcp's verifier (891facc8) has a BV21_ERROR level for Bv2.1 'shall' violations, flags Interop DCPs (INVALID_STANDARD, Bv2.1 s.6.1) and mixed standards, warns above 52 and errors above 79 characters per subtitle line, errors above 32 characters per closed-caption line and above 3 lines, and checks JPEG 2000 code-block size of 32; ClairMeta (b3b66a02) settings use 250 Mb/s for DCI, 500 for HFR and 400 for DVI, with a comment noting asdcplib's 400 Mb/s HFR threshold.
- Which loudness measures should I read (integrated, momentary, short-term, range, true peak) and what do the EBU numbers mean? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Y1-06's R 128 figures match V5 items h), i), m) and it reports +/-0.5 LU only as the V3 history entry; the C2-B80-AUDIT1 grouping of Y1-06 with a +/-0.5 LU non-live claim is incorrect.
- Which closed-caption (CCAP) properties do libdcp verify and ClairMeta check, which ST 428-10 rules do they miss, and where do their limits come from? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
libdcp (891facc8) cites Bv2.1 (RDD 52) 7.2.6 for both its 3-line and 32-character closed-caption checks; ST 428-10:2008 7.3 caps Text elements per Subtitle at three and mentions 32 characters only in an informative device note; ST 428-10 7.1 forbids overlapping Subtitle time windows.
- For first-order Ambisonics, what channel order and per-channel gains convert FuMa/B-format (W,X,Y,Z) to ACN/SN3D (ambiX), according to the ambiX paper and the ambix converter, SAF and SPARTA code? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
ambix (24d2875f) and Spatial_Audio_Framework (18fd5aba) both implement first-order FuMa to ACN/SN3D as a W,X,Y,Z -> W,Y,Z,X reorder with W gain sqrt(2) and unit dipole gains (static code reading; not run). The producer's own caveat that these are not independent (shared authorship lineage with the format paper) is retained.
- What does YuE's MODEL_LICENSE (YuE2) say clause by clause about hosting, redistribution, modification, training and output use of the weights, and what do THIRD_PARTY_NOTICES add? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
At YuE 1647252d, MODEL_LICENSE licenses the three YuE2 checkpoints under CC BY-NC 4.0 with a dated (2026-09-16) additional permission for individual creators to generate and monetise outputs under responsible-use conditions; it excludes code/tokenizer/evaluation assets from its scope, denies commercial redistribution or sale of weights, and directs companies to a commercial licence. This fills the MODEL_LICENSE gap recorded by L07 for C2-B04-H-12.
- What does Panasonic's AW-UE150 manual document for FreeD output (message type, field mapping, units, ports, client limits, caveats), and what could not be read for Sony? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
The 2025-01 AW-UE150 manual documents FreeD Type D1 output with fixed-zero X/Y/Z, raw zoom/focus ranges 000555h-000FFFh, iris in the 16-bit spare field, Camera ID always FFh, and UDP output to up to four clients (factory ports from 1111).
- Is YouTube Audio Library music safe from Content ID claims, and what attribution does it require? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: choose background music for a YouTube video without claims. Conditions: tracks and effects from YouTube Studio's Audio Library (help page fetched 23 Oct 2026). Method: Audio Library items are described as royalty-free production music and sound effects that are copyright-safe: tracks downloaded from it will not be claimed by a rights holder through Content ID, and Partner Program channels can monetise videos that use them. Attribution: if a track has a Creative Commons licence, you must credit the artist in the video description (Studio generates the text; filter 'Attribution required' / 'Attribution not required'); videos with Audio Library music show a 'Music in this Video' section, and CC attribution is still required in the description. Limits: only Audio Library items are known to YouTube to be copyright-safe; YouTube is not responsible for issues with 'royalty-free' music from channels or other libraries; it cannot give legal guidance; the library is only in YouTube S...
- What are FFmpeg arnndn (RNN speech denoise), adeclick and adeclip for, and which options let you hear what they remove? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: choose between a model-based denoiser and click/clip repair in an FFmpeg chain. Conditions: FFmpeg filter docs. Method: arnndn reduces noise from speech using recurrent neural networks; the model file option is always required (you must supply a trained model file); mix sets how much processed signal is blended into the output, range -1 to 1, default 1, and negative values keep the removed noise, with -1 letting you hear the actual noise removed. adeclick removes impulsive noise; samples detected as impulsive are replaced with interpolated samples using autoregressive modelling; options include window 10-100 ms (default 55), overlap 50-95 percent (default 75), arorder 0-25 percent (default 2) and threshold 1-100 (default 2; lower detects more samples as clicks). adeclip is the companion for clipped samples. Use (inference): run adeclick before denoise when clicks are sparse, keep threshold at default and lower it only if clicks remain, and use arnndn mix between 0.6 and 1 t...
- What are YouTube Shorts length and aspect-ratio rules, and when did the 3-minute limit start? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
YouTube Help (captured 2026-10-23): Shorts can be up to 3 minutes with a square or vertical aspect ratio; reused copyrighted material can trigger Content ID claims. YouTube's blog post of 2024-10-03 announced that from October 15 (2024) uploads up to 3 minutes that are square or taller count as Shorts, not affecting earlier uploads. Side effects documented elsewhere: such videos are no longer eligible for title/thumbnail A/B tests (C3-B336-02). Remix/clip rules and long-form-to-Short conversion details were not retrieved in this batch (answer/10778104 returned a generic shell): gap.
- What do Shure's guides say about microphone distance, proximity effect and plosives for voice recording? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: get a clear, un-muddy voice at the mic. Conditions: single talker, directional (cardioid-type) mic. Method (Shure educational publications and the MV7 guide): keep the mic as close as practical to avoid picking up room reflections and reverberation, but not so close that proximity effect (a rise in low-frequency response with directional mics up close) makes the voice muddy or bassy; aim the mic from below or above rather than straight at the mouth to reduce p/t pops; add an external pop filter, which also helps maintain a consistent distance; keep the mic away from reflective surfaces. Distances quoted: about 6-12 inches from the mouth at roughly a 45-degree angle for a stand or handheld mic in the film/video guide (3-6 inches adds bass emphasis); 1-6 inches for the MV7 podcast mic (more bass, intimate sound, maximum off-axis rejection) or 6-18 inches in the MV7 Far setting. The inverse-square rule: doubling the source-to-mic distance cuts the sound pressure reaching the m...
- In what order and how aggressively should dialogue repair steps be applied, and what do iZotope's authors say about artefact trade-offs? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: a noisy interview or narration needs several repairs and risks sounding processed. Conditions: iZotope RX workflows described in company blogs (secondary, vendor-authored); AI one-click tools exist too. Method: iZotope's stated goal is a transparent intervention that does not introduce new artifacts that distract the listener. Its noisy-interview list in order: even out levels (Voice leveler), De-clip, Spectral De-noise (learn the background profile), De-ess, then Spectral Recovery for hollow sounding dialogue. A dialogue editor reports putting Mouth De-click first in the chain on a commercial and accepting artifact trade-offs because a consistent music bed hid them. Another editor advises matching ADR to production early, before mixing the original vocal, so processing is done once on a combined track. Adobe's Enhance Speech guide says AI enhancers reduce background noise, remove pops, clicks or dropouts and enhance clarity but that no setup can completely remove unwanted ...
- What does YouTube's Studio Trends tab show (top searches, breakout videos, content gaps for Shorts) and how does it define a content gap and audience interest? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: choosing topics from demand rather than guesswork. Conditions: YouTube Studio > Analytics > Trends; some insights limited by country, language and device; the page notes an updated Studio experience rolling out from July 2026. Method (documented): enter a topic or browse the trending page and save search terms. Cards: top searches (your audience and your saves, 28 days), breakout videos (well-performing content from similar creators), recent videos (topics your audience watched in the last 28 days plus saved searches) and content gaps for Shorts. A content gap is when viewers cannot find enough quality search results for a query: no results, no exact match, or old/low-quality results. Audience interest ranges from very low to very high and is based on videos watched over 1,000 times per week in the last 28 days. Failure modes: treating a gap as proof of demand; missing sections when no relevant videos exist. Limitations: documentation only; no evidence that acting on gaps i...
- How does YouTube define audience retention and its "key moments" (intro, top moments, spikes, dips), and what does YouTube say to change about a video opening? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
YouTube Help (undated page, captured 2026-10-23): the key-moments report is video-level only and takes 1-2 days to process. Intro = percentage of viewers still watching after the first 30 seconds; YouTube reads a high intro as the opening matching the thumbnail/title promise, and recommends either changing thumbnail/title to reflect the content or modifying and experimenting with the first 30 seconds. Top moments = almost no drop-off (move such content earlier because audiences shrink over time). Spikes = rewatched or shared sections, which can also mean unclear content. Dips = skipped or abandoned sections. Moments only show for videos of at least 60 seconds with at least 100 views; "typical retention" compares the 10 latest videos of similar length; retention can be segmented by new vs returning viewers, subscribers vs not, and organic vs paid. Note YouTube treats packaging and opening as one promise: low intro retention may be a title/thumbnail mismatch, not a weak hook.
- How do I use Real-ESRGAN for video (frames, anime video model, face_enhance, tile), and what are the risks of face enhancement? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. A cheap, local upscale for video frames. Conditions. Real-ESRGAN (trained on pure synthetic data), BSD-3-Clause code. Method. (1) General video: the repo provides inference_realesrgan_video.py; the anime-video doc example is -i inputs/video/onepiece_demo.mp4 -n realesr-animevideov3 -s 2 --suffix outx2 (realesr-animevideov3 is x4 but can be used for x1-x3; multi-process via --num_process_per_gpu). (2) ncnn route: extract frames with ffmpeg, run the executable on frames, merge back. (3) --face_enhance runs GFPGAN on faces (default off; needs facexlib and gfpgan); -t sets tile size (0 = auto) to save VRAM. Failure modes (inference): the ncnn workflow processes frames independently, so temporal flicker can appear on textured regions; GFPGAN face restoration replaces facial detail and can alter identity, so do not use it on faces that must match an approved reference; the anime video model is for animation, not photoreal faces. Limitations. README does not discuss temporal consi...
- What audio does ElevenLabs say Instant Voice Cloning needs (length, quality, format), and why can more audio make the clone worse? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: make a quick voice clone from a short sample. Conditions: ElevenLabs Instant Voice Cloning (IVC), docs fetched 23 Oct 2026. Method: record about 1 to 2 minutes of clear audio with no reverb, artifacts or background noise; at least 1 minute, and the page says more than 2-3 minutes yields little improvement and can be detrimental to stability. The number of samples is irrelevant; total runtime counts. Quality means how the audio was captured, not the codec, though MP3 at 128 kbps or higher is advised (the same page elsewhere strongly recommends MP3 192 kbps or higher). Why it matters: the AI tries to mimic everything it hears, including speed, inflection, accent, breathing, noise and mouth clicks, so keep tone, performance and level consistent. Example (inference): record a single take reading in the delivery style you want in the final narration, in a quiet treated room, and trim breaths or clicks you do not want copied. Failure modes: clone inherits room reverb or noise; wi...
- How does YouTube's title/thumbnail A/B test (Test & compare) work: variants, winning metric, eligibility, limits? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Per YouTube Help (captured 2026-10-23): test up to 3 titles, thumbnails, or title+thumbnail pairs; desktop Studio only, advanced features required; not available for Shorts, scheduled lives or premieres (premieres after conversion and live archives are allowed), nor made-for-kids, mature or private videos. Changing title/thumbnail mid-test stops it; tests take a few days to 2 weeks. Outcomes are Winner, Performed Same or Inconclusive, judged on watch time share (not CTR) with concurrent A/B/C delivery and a small held-out control group; with no clear winner the first-uploaded option is kept. Thumbnails below 1280x720 force all variants to 480p. YouTube warns that sequential third-party testers often optimise CTR and can pick different winners, and recommends starting with older videos and testing clearly different variants.
- What technical spec does Microsoft give for recording professional custom voice samples (sample rate, level, SNR, noise, compression, silence)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: record a voice-talent corpus that a TTS fine-tuning job will accept and that will not bake in noise. Conditions: Azure Speech professional voice fine-tuning (Microsoft Learn, fetched 23 Oct 2026). Method (spec table): WAV mono, 24 kHz, 16-bit PCM (recording at 48 kHz/24-bit is allowed and is down-sampled automatically); peak level -3 dB to -6 dB; SNR above 35 dB; noise before the first word below -70 dB; 100 ms (not more than 200 ms) of silence at the start and end; silence between words/phrases below -30 dB; silence after the last word below -60 dB. Little or no dynamic range compression (maximum 4:1); consistent volume, rate, pitch and style. Audio with SNR below 20 can produce obvious noise in the generated voice; volume lower than -18 dB, waveform overflow (clipping), DC offset or echo and files under 16 kHz are listed as typical errors. Size: usually a reasonable voice from 300 utterances; at least 1,000 (preferably 2,000) for unique-persona voices. Script balance: sta...
- How does YouTube define impressions, impressions CTR, RPM vs CPM, and where are impressions counted? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
YouTube Help (captured 2026-10-23): an impression counts when a thumbnail is shown for more than 1 second with at least 50% visible, only on YouTube surfaces (not external sites/embeds, end screens etc.); impressions CTR is computed only from views that came from counted impressions, so views/impressions will not equal CTR; YouTube states half of channels/videos fall between 2% and 10% CTR. RPM = total revenue after YouTube's share per 1,000 views, including memberships, Premium, Super Chat and Super Stickers, and the page says RPM is calculated per 1,000 engaged views for Shorts and all views for long-form videos; CPM = advertiser cost per 1,000 ad impressions before revenue share, so RPM is lower (after share and including unmonetized views). New viewers = first time watching the channel in the period; returning = watched before. A standalone "unique viewers" definition page was not retrieved in this batch (answer/9314419 and 9314422 returned a generic shell): gap.
- What does YouTube's Inspiration tab offer (hooks, outlines, titles, thumbnails), when is it being deprecated, and what are its AI, provenance and data-use caveats? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: using YouTube's own AI ideation inside Studio. Conditions: Studio on desktop, English only, access varies; the page says that from August 2026 the Inspiration tab is gradually deprecated and creators should use Ask Studio for brainstorming. Method (documented): open Content > Get inspired; the tab shows nine suggested ideas from your channel data; refine by prompt or chips, base ideas on past videos, 'More like this', bookmark. Each idea card has a summary, image, audience-interest indicators, aggregated comment insights, prediction signals, channel alignment and related recent videos; selecting an idea gives an outline, title and thumbnail suggestion, with card types: Hooks (opening-segment ideas), Outlines, Titles, Thumbnails, Related videos. Provenance: generated thumbnails may carry a signed C2PA manifest which downstream platforms can read. Data: prompts connected with your channel are deleted automatically after 45 days; human reviewers may read conversations after di...
- How do you match ADR to production dialogue (EQ, ambience, mic differences) according to iZotope's practitioners? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: new lines (ADR, or AI-generated dub lines) sound different from the production track. Conditions: iZotope RX Match EQ / Ambience Match workflows, vendor blogs. Method: identify what differs (a different mic, chain and studio; missing outdoor ambience and footsteps). Then (1) Match EQ: bounce a usable bit of the original with the ADR after it, learn the original, render the ADR, then fine-tune by ear (the editor boosted low mids and cut high-mid harshness). (2) Ambience Match: highlight silence containing room tone around the original, learn, and process the ADR; the editor rarely needed more. Do this early, before mixing the original vocal, so one track can be processed together. For missing ambience, Ambience Match applies the ambient sound of the original recording to another clip. Use (inference): for AI-voiced lines, record or generate dry, then match EQ and room tone the same way, and fade a little room tone under edits; check at the real playback level. Failure modes:...
- How does FFmpeg's afftdn denoiser work (noise floor, reduction, profile capture), and what artefact controls does it have? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: remove steady noise (fan, hiss) from narration in a scripted pipeline. Conditions: FFmpeg with the afftdn filter (FFmpeg filter docs, fetched 23 Oct 2026). Method: afftdn denoises with an FFT. Key options: noise_reduction nr in dB (0.01-97, default 12); noise_floor nf in dB (-80 to -20, default -50); noise_type (white, vinyl, shellac, custom); track_noise tn (adapts the noise floor over time); output_mode (output, noise, input) where 'noise' passes only the removed noise so you can listen to what is being taken out; sample_noise sn start/stop captures a noise profile from a stretch of the input (docs example captures the first 0.4 s: asendcmd=0.0 afftdn sn start,asendcmd=0.4 afftdn sn stop,afftdn=nr=20:nf=-40); gain_smooth gs (0-50, default 0) smooths gains across frequency 'useful to reduce random music noise artefacts'. Docs examples use nr=10, nf=-40. Use (inference): record 1-2 s of room tone at the start of each take for the profile, start with nr near 6-12 dB and rais...
- What does SeedVR2 document for video restoration (one-step diffusion, GPU needs, scripts) and where does it say it fails or over-sharpens? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Restoring or upscaling AI-generated or degraded video without temporal artefacts. Conditions. SeedVR / SeedVR2 (ByteDance Seed; ICLR 2026), Apache 2.0; 3B/7B models. Method. SeedVR2 is a one-step diffusion video restoration model with adaptive window attention that adjusts window size to the output resolution. Inference: torchrun projects/inference_seedvr2_3b.py with --video_path, --output_dir, --seed, --res_h, --res_w and --sp_size (sequence parallel GPUs). Stated capacity: one H100-80G handles a 100-frame 720x1280 video; four H100-80G support 1080p and 2K with sp_size=4; tiling tricks were not yet supported. A community ComfyUI node exists (linked in README). Failure modes (README Limitations). Prototype models; not robust to heavy degradation or very large motions; may fail to remove degradation or generate unpleasing detail; on lightly degraded inputs such as 720p AIGC video it may over-generate detail and oversharpen, especially at small resolutions like 480p. Method (...
- What does ElevenLabs Professional Voice Cloning require for training audio (hours, level, distance, noise, single speaker, verification)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar...
- What does YouTube document for trimming and cutting a published video in Studio (length limit, what stays the same, view-count restriction, undo)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: fixing a mistake in a published video without re-uploading. Conditions: YouTube Studio on a computer, Content > video > Editor; videos shorter than six hours. Method (documented): Trim & cut shows a blue box; drag its sides around the part to keep and save. For New cut, a red box marks the part to remove and anything outside it stays. Times can be typed; Preview, Undo, trash icon and Discard changes are available before saving. The video's URL, view count and comments stay the same. Restrictions: for unedited videos with over 100,000 views, saving changes may not be possible except blurring faces, and this limit does not apply to Partner Program channels; since June 2025, saved editor changes cannot be reverted with Revert to original. Failure modes: assuming a saved trim can be undone; trimming a high-view video from a non-partner channel. Limitations: this round did not fetch the separate Blur or Audio library pages, so those are not documented here; third-party guides di...
- How do I outpaint a still with FLUX Fill or SDXL inpainting in diffusers (strength, mask blur, resolution) and which licences apply? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Extending a frame beyond its edges while keeping the original pixels. Conditions. diffusers FluxFillPipeline or an SDXL inpainting checkpoint. Method. (1) FLUX.1 Fill [dev]: the docs say the pipeline supports inpainting and outpainting and does not take a strength input; pass prompt, image, mask_image, height, width and max_sequence_length=512; the BFL doc says the mask must be a black-and-white image the same size as the conditioning image. For outpainting (inference): paste the source on a larger canvas, make the mask white over the new area, and set height/width to the canvas size. (2) SDXL Inpainting 0.1: guidance_scale 8.0, 15-30 steps, and strength=0.99 - the card says to keep strength below 1.0; checkpoint is openrail++. (3) General inpaint tuning from the diffusers guide: strength is how much noise is added to the base image, higher gives more difference from the original; blur_factor on the mask processor softens the seam (example 33); padding_mask_crop crops aroun...
- For 16:9 to 9:16 (or reverse), when should I crop and reframe versus outpaint, what do video outpainting tools document, and how do headroom and lead room constrain it? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Delivering a clip in another aspect ratio without losing the framing intent. Conditions. Source clip with fixed composition; vertical (9:16) social delivery as in C3-B573. Tool statements. WaveSpeed's Video Outpainter takes a required video, an optional prompt and an aspect_ratio, expands the video in any direction while preserving motion, identity and scene coherence, and converts ratios without cropping; VACE lists Expand-Anything for video. For stills, getimg.ai says outpainting generates new content around the source while keeping the original pixels unchanged. Craft constraints (Wikipedia). Headroom is the space between the top of the head and the top of the frame and too much creates dead space; lead room is space in front of a subject in the direction it faces or moves. Method (inference). (1) Arithmetic: a centre 9:16 crop of a 16:9 frame keeps (9/16)/(16/9) = 31.6% of the width; if the shot is a wide with several subjects that loses them, so choose reframing by tra...
- How do you use iZotope RX De-reverb (Learn, Reduction, Tail Length) and how do you avoid over-processed dialogue? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: dialogue recorded in a roomy space sounds distant. Conditions: iZotope RX De-reverb (documentation for RX 6; blog of a later version). Method: Learn on a selection that starts with room tone, is several seconds long and includes the direct signal and reverb tails; it sets Reverb Profile and Tail Length. Reduction is the target wet/dry ratio: larger removes more reverb; negative values add reverb. Reverb Profile adjusts per-band amounts (raise the band where reverb is more prominent). Tail Length approximates RT-60: raise it if tails reappear or early reflections are obvious, lower it if tails and noise floor sound over-processed or dull. Artifact Smoothing controls frequency accuracy; defaults are very high because reverb is smooth in frequency, and lowering it increases artifacts with strong processing. Enhance Dry Signal boosts the direct signal and can help prepare for later de-noising. Output Reverb Only lets you listen to what is being removed. The iZotope blog says pu...
- How should a DIY voice-recording booth for narration or clone training be set up according to Microsoft's custom voice guide? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: record clean voice without a studio. Conditions: small home setup. Method (Microsoft): a small room with no noticeable echo or room tone, as quiet as possible; drapes on walls to deaden the room; a studio condenser microphone made for voice (a USB mic is simplest because mic, preamp and converter are in one unit; XLR needs preamp and interface); mic on a stand or boom with a pop filter against plosives, ideally with a shock mount; the voice talent stays at a consistent distance (tape marks on the floor if standing; watch chair noise if sitting); a script stand not angled to reflect sound into the mic; engineer in a separate room with talkback; listen to a recording of silence to find noise sources (air vents, fluorescent ballasts, traffic, fans, hum from AC wiring or ground loops) and remove them at the source; set levels to use most of the dynamic range without overdriving; keep the chain simple (mic, preamp, interface, computer). EQ or noise-reduction plug-ins may help, b...
- What does YouTube say about the Shorts revenue-sharing threshold from Feb 2027, the Premium revenue pools and the promised new incentive programs? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: planning Shorts-based income. Source: YouTube Official Blog, 10 Aug 2026 (primary). Source statements: from 1 Feb 2027, creators with 10 million qualified Shorts views over the last 90 days are eligible for ads and subscription revenue sharing on Shorts; channels below stay in YPP and keep earning on long-form content, and Shorts revenue sharing resumes automatically after they cross 10 million again. For channels under the threshold YouTube promises new incentive programs (bonuses for YouTube Shopping, incentives for brand deals, earnings boosts for starting and growing trends) with 'more details soon'; no amounts or criteria were published in the post. Premium: revenue pools of 30% of net subscription revenue for Premium and 60% for Premium Lite, distributed on member watch time and views, then creator revenue share 55% long-form and 45% Shorts; Premium Lite expands to all Premium countries. The post claims YouTube expects to pay more to creators in 2027 than in 2026 and ...
- What does ComfyUI-AdvancedLivePortrait offer, what are its dependency pins, and what is unclear about its licence? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Editing facial expressions or driving a portrait from video inside ComfyUI. Conditions. PowerHouseMan/ComfyUI-AdvancedLivePortrait commit 3bba7329 (last push 2024-08-21; not archived); GitHub reports no licence; pyproject version 1.0.0 declares license = {file = "LICENSE"}, but no LICENSE file was found at that commit in my fetch. Method. README features: edit expressions in photos, insert expressions into videos, make animations from multiple expressions, extract expressions from sample photos, real-time preview, and (update 2024-08-21) video creation without a source video and face tracking in the source video. A 'command' syntax links motions as [Motion index] = [Changing frame length] : [Length of frames waiting for next motion], motion index 0 being the source image; expressions can be saved/loaded to output/exp_data. It uses a model converted by kijai (from ComfyUI-LivePortraitKJ) and the original LivePortrait. Requirements include numpy>=1.26.4, opencv-python-headles...
- How do S3 versioning and Object Lock compare with Cloudflare R2 bucket locks for making generated assets immutable, and what is missing on R2? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Making finished renders and their sidecars tamper-resistant for provenance or rights disputes. Conditions. Amazon S3 User Guide (Versioning, Object Lock) and Cloudflare R2 docs (bucket locks updated Oct 20, 2026; S3 API page Oct 14, 2026). Method. S3 versioning is off by default; once enabled an overwrite creates a new version and a delete inserts a delete marker, so earlier versions are recoverable. Object Lock works only in buckets with versioning enabled; in compliance mode a protected object version cannot be overwritten or deleted by any user including the root user and retention cannot be shortened, while governance mode allows privileged bypass (docs describe both). Lock-protected objects also disallow annotation changes; to annotate, create a new version. R2's S3 compatibility table marks GetBucketVersioning and PutBucketVersioning as not implemented; instead R2 bucket locks prevent deletion and overwriting for a period or indefinitely via per-prefix rules (an examp...
- What do the Audience tab's 'Channels that your audience watches' and 'What your audience watches' reports show, over what window, and what are their documented uses? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: knowing what else your viewers watch. Source: YouTube Help 'Understand your YouTube audience' and 'Tips to learn what viewers are watching'. Source statements: the Audience tab shows monthly audience (unique viewers over the previous 28 days, recalculated daily) split into new, casual and regular viewers. 'Channels that your audience watches' shows other channels your viewers consistently watched outside your channel over the past 28 days, for interests and collaboration; 'What your audience watches' shows other videos, Shorts, live streams and podcasts watched outside your channel over the past seven days, for topics, titles, thumbnail ideas and collaborations; 'Formats your viewers watch' covers videos, Shorts and live in the last 28 days. Official Artist Channel owners do not see videos where they are the primary artist. The Tips page suggests looking for patterns, themes in titles and thumbnails, and collaboration opportunities. Limits stated: some data (geography, traf...
- What do the InsightFace repositories say about the licence of buffalo_l, antelopev2 and other pretrained models versus the MIT-licensed library, and who must be contacted for commercial use? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. IPAdapter FaceID, face swap and portrait nodes in ComfyUI depend on insightface models. Conditions. deepinsight/insightface commit c6c3af7b (2026-10-19). Cross-checks an earlier round's licence item without repeating it. Method. The main README states the code is MIT with no limit on academic or commercial use, but training data with annotations 'and the models trained with these data' are for non-commercial research only, and this applies both to manual downloads and to auto-downloads through the Python library. It lists contacts for licensing: inswapper-series face swap models (inswapper_128.onnx etc.), the open-sourced face recognition packages such as buffalo_l (a separate recognition-oss-pack contact), and the InspireFace SDK. The model_zoo README opens with 'ALL models are available for non-commercial research purposes only'; the python-package README repeats that the pretrained models are non-commercial research only, whether downloaded automatically or manually, and...
- What does the Depthflow ComfyUI node pack provide for 2.5D parallax, what does it pin, and what licence does it carry? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Making camera-move parallax animations from a still plus a depth map without a video model. Conditions. akatz-ai/ComfyUI-Depthflow-Nodes commit 1806b6ed (pushed 2026-02-15; not archived), version 1.2.3, licence AGPL-3.0 (LICENSE file and API). Method. The Depthflow node takes an image (or batch) plus a corresponding depth map and applies motion objects (zoom, dolly, circle and others) with optional stackable effects (depth of field, vignette), outputting an image batch to be encoded as video; parameters include num_frames, input_fps/output_fps, quality, ssaa and invert, with tiling_mode. It extends RyanOnTheInside's Flex system. pyproject and requirements pin depthflow==0.9.1 plus pydantic, numpy and opencv-python. The README credits the upstream DepthFlow library by Tremeschin (BrokenSource) and publishes a custom Docker environment image; node documentation lives on an external Notion page. Failure modes. Depth-map quality drives artefacts (the depth source is outside thi...
- Which tuning knobs, restrictions and debugging tools do the Unreal Motion Matching docs state, and what do they leave unsaid about data limits? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Unreal's motion-matching docs give tuning controls (Block Transition notify states, Normalization Sets, Mirror Data Tables, schema channels) and state that montages cannot be used with the node, but set no minimum or maximum data amount, duration or memory budget.
- How do I store generated media under content-addressed (sha256) keys without overwriting or racing, using S3 or R2 conditional writes and checksums? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem. Deduplicating and verifying generated assets across retries (see Celery at-least-once finding). Conditions. Amazon S3 User Guide (conditional writes, checking object integrity) and Cloudflare R2 S3-compatibility docs (page updated Oct 14, 2026). Method. Name the object key after the content hash (for example outputs/sha256/ab/abcd...); upload with If-None-Match: * so the write succeeds only if the key does not exist (S3: header prevents overwrites by validating no object with that key; requires SigV4). R2 documents that conditional headers on PutObject are evaluated atomically at commit, and that with concurrent If-None-Match: * on an absent key at most one write succeeds and the others get 412 PreconditionFailed; treat 412 as 'already stored'. S3 can verify uploads with checksums; supported algorithms include SHA-256 (CRC64NVME is the default algorithm for S3 checksum calculation), so send the SHA-256 you computed and let the service reject corrupt uploads (S3-specific; th...
- What does YouTube's RSS ingestion for podcasts require and not do (ads, verification, private upload first, no back-catalogue notifications)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: bringing an audio podcast feed into YouTube. Sources: YouTube Help 'Deliver podcasts using an RSS feed' and 'Publish or disconnect episodes from an RSS feed on YouTube'. Source statements: RSS ingestion is available in select countries/regions; YouTube makes a static-image video from the show art for each chosen episode, uploads new episodes automatically and notifies eligible subscribers. YouTube will not distribute the podcast elsewhere, notify subscribers of back-catalogue additions, auto-update show details or re-uploaded audio, or allow invalid characters such as '<' or HTML in titles/descriptions. Podcast content cannot contain advertisements; branded content (host-read promotions, sponsorships, endorsements) must be declared via the branded-content box. First submission uploads selected episodes as private videos; YouTube recommends waiting until all are uploaded before publishing; check for monetization or copyright issues in the video tab. Steps: Studio, Create, Ne...
- What does YouTube document about vertical live streams in the Shorts-style feed (which streams appear, where, chat and memberships)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: going live in vertical format. Source: YouTube Help (viewer side) 'Watch & interact with vertical live streams on the YouTube app'. Source statements: vertical live streams (taller than wide) can be found while browsing live or Shorts and opened into a vertical live feed with full-screen viewing, chat, memberships and swiping to more vertical streams; viewers can enter the feed by pausing a Short and tapping Live. Scheduled live streams and Premieres do not appear in the vertical live feed. The feed is only in the YouTube app, not on tablets. Chat can be turned off from the stream's menu. Buying memberships in the feed is not available on iPhone (Android only, at the time read). Not stated on this viewer page: creator requirements, how a stream is chosen for the feed, or recommendation weights. Method (inference): start vertical streams live (not scheduled) if feed placement is the goal, and design framing for 9:16 with caption-safe areas; do not assume the feed gives reach...
- What are 'content gaps' in YouTube Studio's Trends tab (formerly Research), what data window and limits apply, and how should an agent use them? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: choosing topics from search demand. Source: YouTube Help 'Explore trends on YouTube' (the page that earlier documented the Research tab; the word 'Research' does not appear on the page as fetched, and the Studio path is Analytics, Trends tab). Source statements: Top searches shows searches from your audience and your saves over the last 28 days; Breakout videos highlights well-performing content from similar creators; 'Content gaps for Shorts' lists Shorts-related search terms tied to topics your audience watched in the last 28 days. A content gap is when viewers cannot find enough quality results for a search: no results, no exact match, or no relevant videos (for example content that is old or low quality). Audience interest, from very low to very high, is based on videos watched over 1,000 times per week in the last 28 days. Some insights are limited by country, language and device, and some sections can be empty. Method (inference, labelled): list gap terms, check the t...
- Does W3C publish an IMSC 1.3 implementation report with per-renderer pass/fail for ruby, bidi and vertical text, and what do the linked TTML2 and IMSC reports actually show? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
The W3C IMSC 1.3 implementation report adds no test table (all features already covered by TTML2/IMSC 1.2 reports), and per-implementation presentation results for features such as ruby and bidi appear only in the TTML2 implementation report, reported by implementers (e.g. imscJS, TTPE).
- On YouTube, is a podcast a playlist, what makes episodes eligible for podcast features, and what are the stated limits (MP3s, Shorts, ownership)? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: setting up a podcast show on YouTube without RSS. Source: YouTube Help 'Create a podcast in YouTube Studio'. Source statements: a podcast show is a playlist and episodes are videos in it; it should contain full-length episodes in the order to be consumed; multi-season shows stay in one podcast. Possible features: inclusion in YouTube Music, podcast badges, a spotlight on youtube.com/podcasts, discovery from the watch page, recommendations, improved search. Some playlists are not eligible even if designated podcasts, including content not owned by the creator; copyright-violating episodes may be ineligible; Shorts made to support a podcast do not appear in YouTube Music. To create: Studio, Create, New podcast, or Set an existing playlist as a podcast; add title, description, visibility, square thumbnail. MP3s cannot be turned into podcasts: each episode must be a video. Podcast videos are available for audio-only playback; turning that off requires removing the video from al...
- What do pinned comments and creator hearts do on YouTube, what do viewers see, and what does the comment preview limit? active
@veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
Problem: using comments to guide the conversation. Source: YouTube Help 'Post & interact with comments'. Source statements: a creator can pin their own or a fan's comment to the top; pinning needs advanced features (up to 24 hours to appear); pinning a new comment replaces the old one; unpinning returns the comment to its place; on computer viewers see a 'Pinned by' icon with the channel name, on mobile they must expand the comment section to see it. A heart shows appreciation for comments (watch page and Posts tab); the viewer sees the creator's avatar with a small red heart and, depending on their settings, a notification that the channel owner 'loves your comment'. The comment preview shown on mobile may include recent, pinned or hearted comments; because space is limited, pinning does not guarantee appearing in the preview, although the pinned comment is first when the full list is opened; moderation settings (blocked words, hidden users) also apply to the preview. YouTube may a...