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• Worldbuilding from an author's design notes: a magic system from one constrained physics idea plus an era's intellectual mood, and a shared universe hidden behind standalone entry points active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Brandon Sanderson on two design origins. Allomancy (R1): seeded by a constraint noticed in a film (a telekinetic push in a Star Wars duel) - "If it could only push towards you, or pull towards you" along a centre of mass - then fused with the setting's era: late-Renaissance/early-industrial periods where alchemy and the periodic table were forming, so he wanted a system with "the feel of alchemy, but that actually works" -> ingesting metals, organised as a table. The first book using it was not publishable; on the rewrite he re-cut the powers to fit a heist crew's roles (each thief one power; the protagonist type has all). The Cosmere (R2): a connected universe planned ...
• Seedance 2.5 reference discipline and "acting with your phone": describe and group references, add a consistency/negatives block, imperfection cues for realism, and drive performances from iPhone footage active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (Aug-Sep 2026, condensed reads). Reference discipline (R1): with many reference slots, describe each reference in the prompt and GROUP references that show the same person/object from different angles (separate angle images rather than one multi-angle sheet); state the host's subject rule (he cites "one to eight distinct subjects" across subject references); add a "keep consistent" block (format clarity e.g. handheld phone, colour and grain, lighting, shadow, mood) and explicit exclusions ("no brand logos, extra people, text on screen"). Realism (R2): make the still cinematic first (e.g. 35 mm, f/1.8, shallow depth of field, fine film grain, muted desaturated ...
• Credit-saving direction habits (Sep 2026): motion-only video prompts, don't name things you don't want rendered, and let an LLM "director" write second-by-second blocking active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen. Higgsfield production (R1, sponsored): wasted credits are "almost never the model's fault"; generate the character sheet and environment once (GPT Image 2 for photorealism), then drop BOTH in as references for each shot; when a shot already has a start frame, the video prompt "only has to cover motion and camera"; use lens/angle language deliberately (e.g. floor-level, steep up-angle, 24 mm wide to make a subject look powerful); and avoid naming objects you do not want - "anything you name as an object is something the model will try to render" (naming "the camera" can put a camera in frame). Settings he used: Seedance 2.5 at 10 s, 1080p, 16:9; also ...
• Coverage note with small facts: 11 more sponsored or self-promotional Mikkel Lassalle uploads (Feb-Mar 2026) active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Concrete items: Artlist platform tour (2026-03-12, R6) - claims 50M creators; video tools with negative prompts, multiple references, multi-output, four cinematic styles and clip chaining into a long scene; custom voice cloning from about 10 seconds of audio (consent rules apply). Artlist "Big Ad" challenge with a $60,000 prize (R12) - contests as a sponsor marketing tactic. Enter.pro (R2): an "AI development agent" test building a deployable app with payments in about an hour; it recommended Gemini 3 Pro or Claude Sonnet 4.5 for the app's text generation; he configured a freemium plan (5 free shot plans/month, unlimited on Pro). Framia Pro (R1): agent platform with cre...
• ByteDance OmniHuman v2 vs v1.5 on fal (Oct 2026): single image + audio to talking/performing video; v2 takes 4-300 s audio with an optional multilingual prompt at $0.105/s, v1.5 caps audio at 30 s (1080p) / 60 s (720p), adds a speaker mask and turbo mode at $0.16/s active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Hosted on fal (R4): three OmniHuman endpoints active - original, v1.5 (updated 21 Apr 2026) and v2 (updated 15 Oct 2026). All take one image of a human figure plus an audio file and return a video whose length equals the audio; billing is per second of audio/video ("duration ... as used for billing"). v2 schema (R1): required image_url + audio_url; audio wav/mp3, max 15 MB, 4-300 s; image jpeg/png/webp/bmp/tiff/gif/heic/heif, max 30 MB, aspect ratio 0.4-2.5, 300-6000 px per side; optional prompt for scene, movement and camera in Chinese, English, Japanese, Korean, Mexican Spanish or Indonesian; no resolution, mask or turbo parameters exposed. v1.5 schema (R2): audio must be under 30 s for 1080p or under 60 s for 720p (the schema says 720p is "faster and higher in quality"), turbo_mode trades slight quality for speed, and mask_url restricts speaking to the person in the white mask area - the only multi-person control in this family on fal. Rendered price lines (R3, 23 Oct 2026): v2 $...
• ComfyUI security (Jul 2026 advisories): four high-severity flaws fixed in v0.28.0 - why an exposed ComfyUI must be patched and kept off the open network active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Four GitHub security advisories published 2026-07-15 for Comfy-Org/ComfyUI, all affecting versions before 0.28.0 and fixed in 0.28.0: two stored cross-site-scripting issues (CVSS 8.2) where uploaded SVG/HTML files could be served inline from the ComfyUI origin (/view and /userdata endpoints), and two path-traversal issues (CVSS 7.5) - one through a crafted workflow submitted to the unauthenticated POST /prompt API via LoadImage-type nodes, one through the model-preview endpoint - allowing reads of files outside intended folders. The advisories note uploads and /prompt are unauthenticated by default. Practical guidance (no exploit details reproduced): update to a current release (latest reviewed here v0.42.1, C3-B396-01); do not expose ComfyUI on public interfaces (avoid --listen 0.0.0.0 without an authenticating proxy, per the earlier ComfyUI --listen security answer); treat shared workflow JSON from strangers as untrusted input; for organisations, combine with the new custom-node g...
• Tool snapshots from mid-2026 sponsored walkthroughs: Meshy texturing options, Lumina canvas planning, Artlist preset apps, Pippit "story series" pitch active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Meshy (2026-07-30): image-to-3D "quick generate" or agent mode; standard vs "smart topology"; texture step with options to remove baked lighting, generate PBR maps, and texture resolution 2K/4K/8K. Lumina canvas (2026-08-04): describe the story -> auto storyboard of individual shots -> "director's desk" to set framing, composition, camera movement and key shots before generating (claims no queue waiting). Artlist "AI apps" (2026-07-01): 70+ one-click presets in categories (viral, editing tools, camera movement, product, typography, social, collabs) - e.g. product photo -> lifestyle shot or packaging mockup. Pippit Story Studio with Seedance 2.5 (2026-08-20): script/scre...
• Prompt-based video modification (PixVerse Modify) and multi-reference self-insertion (WeryAI + Nano Banana Pro + Seedance 2.0) active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. PixVerse Modify (sponsored, 2026-04-08): on an existing clip choose Swap (mask an object, upload a replacement image - e.g. a perfume bottle replaced by a soda bottle), Add ("add an airplane flying over the scene"), Remove (mask + "remove label") or Restyle (3D animation, 2D animation, comic, ink wash or custom) while motion, lighting, perspective and camera move are kept - he presents these as natural-language edits without special syntax. WeryAI (sponsored, 2026-04-16): generate four candidate frames with Nano Banana Pro, then image-to-image with two references (the chosen frame + a photo of himself) and the constraint "Preserve face and hair 100%", then Seedance 2.0 ...
• Asset-library production tools (Artlist Studio, Apr 2026): characters with generated angles and voices, multi-angle locations, shot/angle/lighting presets and structured prompts active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mikkel Lassalle (Artlist affiliate, 2026-04-21). Artlist Studio project model: create a character from one reference image, then "generate angles" for multi-view consistency and pick a voice (custom voices announced as coming); a library of pre-made characters; locations generated from a prompt plus multiple angles for location consistency; in prompts you @-tag characters and locations. Prompt helpers: angle presets, shot presets (close-up, extreme close-up, full, wide, extreme wide), lighting presets, and a "structured prompting" mode with fields for characters, location, action, composition, style and mood. Generate a style frame, "set start frame", then in a directin...
• The common shape of "director mode" AI film agents (CapCut Director Mode, OiiOii, Lumina canvas, SekoTV): plan, assets, storyboard, gated clip generation active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Four sponsored Mikkel Lassalle walkthroughs (May-Aug 2026) show the same agent pipeline: one-line idea (+ optional style reference image) -> agent writes a plan/script and asks format questions (short vs long, aspect, language, an "emotion keyword") -> role-named sub-agents generate character sheets, environments and a storyboard (OiiOii: art director, character designer, scene designer, storyboard artist) -> human approval gate -> clip generation -> final approval -> export to an editor. CapCut Director Mode example: the agent generated four 4-second Seedance 2.0 clips at 720p for a music-video sequence and offered alternative audio tracks before the final "approve del...
• Producing a 14-clip AI short in Higgsfield Cinema Studio: story blueprint, saved elements, structured JSON prompts, continuation references and voice unification active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen (Higgsfield link, 2026-06-11). Steps: lock a story first (an LLM drafts beats/arcs) as the blueprint for all assets; build characters - one from a multi-angle photo collage with the "auto" model (two-panel full body + face), one fictional via an "AI cast" form (genre, budget, era, archetype, gender, ethnicity, age, body type, outfit; he says genre/budget shape production look) - and four locations with a "cinematic locations" model; save each as a named element (character/location) to pull into video prompts. Video: 14 clips, each prompted in structured JSON fields (he reports a significant quality jump vs paragraphs; written with a helper tool), per-...
• An end-to-end AI short-film method: reference sets per character, object and location continuity, three prompt formats, 480p drafts, voice consistency and motion transfer active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (OpenArt-sponsored course, 2026-06-25; says he spent over $1,000 in credits on the short). Pre-production: per prominent character use three references - a character sheet, a face close-up, and a skin/hair detail sheet - generated with GPT Image 2 at high quality (preferred over Nano Banana Pro for likeness); use a GREY not white sheet background because white transferred as overexposure in his A/B; real photos of a real subject beat AI sheets. Lock locations with a mood board/master location and treat props as references too: a TV that vanished mid-shot was fixed only by adding it as a reference. He uses an LLM (Claude) with his own Markdown "prompt guide" fi...
• Style frames first, prompt like a cinematographer; and the self-initiated brand concept film as a portfolio format active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dreamina video (promotional, 2026-07-14): lock a style frame before animating because it drives all later animations; generate it with GPT Image 2 from a reference photo of the creator; write prompts "like a cinematographer" - camera angle, lighting, atmosphere, lens, colour grade, mood, environment, subject detail; use multiple reference images and prompt tweaks to converge on a style; then animate in Seedance 2.0 with omni-reference (image, video, audio). Lamborghini concept film (2026-08-14): a self-initiated, no-brief commercial for a real car brand mixing traditional VFX and AI; the transcript is mostly the voiceover and music (no technical breakdown audible). Righ...
• Agentic all-in-one AI video platforms (SekoTV) and image-to-3D platforms (Hi3D): what the workflows look like active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. SekoTV (sponsored, 2026-09-22): a "creation agent" with skill templates (cinematic one-take short, character concept board, TVC product ad, master director, etc.) takes a one-line idea, proposes a configuration (tone, aspect) and three plot options, writes asset prompts, generates assets with GPT Image 2, waits for "confirm visual assets", then writes and runs the final one-take video prompt with sound; models offered include Seedream 5.0 Pro, GPT Image 2.5, Nano Banana Pro. Human checkpoints shown are confirmation gates rather than prompt edits. Hi3D (sponsored, 2026-09-29): text-to-image (Nano Banana 2 recommended; a clean grey background helps) then image-to-3D with ...
• Extending past a model's clip limit by re-seeding from exported highlight frames (creator trick, Seedance 2.0) active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mikkel Lassalle (Loova referral, 2026-04-28): to go beyond the 15 s Seedance 2.0 limit, download the clip, export a few highlight frames in any editor, and feed them back as multiple image references with a short action prompt (multiple cuts, camera movement, sound effects, grade) to get continuation clips that are stitched in the edit. Also: create named reusable "characters" from an uploaded image in the reference-to-video tool, then remove raw image tags once characters are tagged. Packaging note: the title promises a comparison with traditional VFX, but the transcript contains no such comparison (title/content mismatch; relevant to title-honesty work). Partly supers...
• A creator VFX workflow for Seedance 2.5: character sheets, meta-prompting and tagged references for 30 s shots active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mikkel Lassalle (OpenArt influencer link, 2026-10-07). Workflow: (1) build assets first - character sheets on a plain grey background with one close-up and one full-body shot (he recommends GPT Image 2 at medium quality, 16:9, 2K; for his own likeness the prompt says preserve identity 100% and changes clothes); also object sheets (a vintage plane) iterated by prompt edits; (2) "meta prompting": paste a template prompt into ChatGPT with a short story idea and let it expand a detailed 30 s Seedance prompt; (3) in Seedance 2.5 select the sheets as references, set duration up to 30 s, and tag each reference to the matching role in the prompt (main character, companions, air...
• What planning framework and location-consistency method does a solo AI animation workflow use (SCENE, 3D world from images, shot-by-shot prompts)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen (2026-05-05, OpenArt affiliate) plans before generating with "SCENE": Story (inciting incident; decide the ending first), Characters (who and rough look), Emotion (decide the palette/mood arc up front, e.g. tension -> danger -> relief), Narrative beats (three clips = setup, escalation, resolution; one job per clip because the model does not know the next clip), Every-clip rules (a fixed style line in every prompt as a "production bible"). Location consistency: OpenArt's "3D World" builds a navigable world from 1-4 multi-angle images of a location (generate angle variants first, "Ultra" mode), then "take shot" anywhere with focal length 23-300 mm; char...
• What can AI agents do inside an editing workflow today (trimming, synthetic B-cam angles, motion graphics, LUT grading, sound), and where do they fail? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-09-29, Higgsfield-sponsored) uses a desktop chat agent ("GPT Astra", as he names it) with MCPs for Higgsfield, DaVinci Resolve (paid version) and Blender, plus computer-use control of Premiere Pro/After Effects: (1) trim dead space from transcription, insert editor-note adjustment layers and mark candidate B-cam/C-cam spots - works but slow (about 14 minutes for some trims via screen control; the Resolve MCP is much faster) and needs monitoring; local desktop app needed for large camera files (cloud upload limit 512 MB); (2) synthetic B/C-cam angles: give a photo of the room and the A-cam clip, generate side angles with Seedance 2.5 (plausible shadows an...
• How are creators building their own AI filmmaking tools with coding agents and MCP connectors, and what are the practical limits? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-08-01) describes "vibe-coding" three tools with a coding agent (Claude Code; Fable 5 or cheaper Opus 5): define the problem (his AI-film workflow had too much back-and-forth between an LLM and a generation platform), answer three questions (what, why, which features), have an LLM turn them into a master build prompt ("meta prompting"), revise it heavily, then iterate in the coding agent. Results: (1) a story/character/location "world builder" web app where users connect their own Claude API key and their Higgsfield account via MCP (so the site runs at no cost to him), which writes a structured script PDF, generates character sheets (GPT Image 2) and loca...
• What reusable Seedance 2.5 prompt patterns do creators use (time freeze, UGC ad, transformation, POV, CCTV, real-footage hybrid), and what are the ethical lines? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference;...
• How do creators make AI video look like real camera footage (prompt formula, imperfection, camera behaviour) and pick models for realism? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-10-16, Higgsfield-sponsored): for stills, test the same prompt across several image models because each is trained differently (in his comparisons GPT Image 2.5 "Flare", FLUX 2 Pro, Nano Banana Pro/2.1, Seedream 5.0 and Higgsfield Soul each won some cases; FLUX 3 looked plastic for stills; text rendering failed on Soul 2 and FLUX 2 Pro). His "CTLT" prompt order: Camera (film stock/lens/framing, e.g. 35 mm film, 12 mm fisheye, tilted horizon, slight motion blur), Tone (mood/emotional energy, e.g. "we weren't meant to see this"), subject/action, Lighting (e.g. harsh on-camera flash), Texture (physical surface details); style labels such as disposable-camer...
• How should you structure prompts and references for Kling 4.0 to get 30-second shots right first time (timestamps, keyframes, Omni Reference, 21:9)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen (2026-10-17) uses one reusable structure: line 1 = style + subject + the hook element; then timestamped beats, each with one action and one camera move ("anything you leave out of a prompt Kling just fills in on its own"); a sound line; a final avoid-list (e.g. warped wings, distorted face; "no rain" stated both in line 1 and the avoid list because storms invite rain). Dialogue goes in quotes inside the timestamp where it is spoken; Kling lip-syncs it. Kling refunds failed generations but charges in full for finished-but-wrong clips, so specificity protects budget; on Kling, 30 s at 720p cost 300 credits vs 540 at 1080p (test at 720p, finalize at 1080...
• What do "AI drama agents" and contest workflows automate for multi-episode or trailer storytelling, and where is human work still central? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Pippit's AI short-drama agent (2026-05-13, sponsored, Seedance 2.0-based): from a pasted script or a story summary, it writes a multi-episode script, asks for a visual style and aspect ratio, generates character designs (incl. a younger version of the lead), writes per-episode shooting scripts with dialogue and locations, generates each clip and can stitch them, pitched as breaking the ~15-second single-clip barrier. In his Artlist Studio Challenge entry (2026-05-05; contest: trailer of at least 30 s, $100,000 prize) he built characters in Artlist Studio, made style frames, animated with Seedance 2.0 and "Happy Horse 1.0", generated the studio logo and title, AI music a...
• How was a large-scale ocean/kaiju water shot simulated in Houdini (particle counts, wedging), as a traditional VFX reference point? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. In a short making-of (2026-01-16) Mikkel Lassalle reports his kaiju ocean shot used a Houdini FLIP simulation of about 50 million particles plus about 70 million whitewater particles; to make the whitewater feasible he split the FLIP tank into four wedges, simulated each separately, and combined them at render; the environment was matte paintings composited in After Effects with "simple blend modes and color corrections" (method transferable to Nuke/Fusion); HUD graphics also in After Effects; creature by a collaborating 3D artist, music/sound by another collaborator. Value: a concrete scale/time reference to contrast with AI-generated water "for free" in layout-to-rend...
• How do compositors use video-to-video AI for VFX tasks (insert, remove, replace objects; new angles) while keeping plate motion? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. A senior compositor (2026-06-07, Artlist-sponsored, Seedance 2.0) shows a hybrid VFX pattern: upload the plate as a video reference and lead the prompt with "preserve the clip 100%" (or "preserve the clip's motion 100%") then state one change: add sharks around a surfer; a shark attack; remove a black Porsche; replace it with a golden Lamborghini; collapse buildings with "realistic debris simulation, dust interaction, high dynamic range, grounded physics"; a meteor strike; relight to night and add a spacecraft (reflections in a lake were handled plausibly). Each clip took about 2 minutes; expect several takes (one take changed the camera angle, one mis-timed the action)...
• Which paid provider models can run inside ComfyUI as built-in "Partner" (API) nodes, and how does that change workflow design? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. The ComfyUI docs index (captured 2026-10-23) lists 298 built-in Partner node pages: Video 126, Image 101, 3D 45, Audio 16, Text 10. By name prefix the largest groups are Tripo (24), Recraft (20), Bria (19), Kling (19), ByteDance (18, i.e. Seedance/Seedream), Luma (15), Vidu (15), Flux/BFL (12), Wan API (12, incl. Wan 3 reference/image-to-video), Gemini (10), MiniMax (9), PixVerse (9), Meshy (8), ElevenLabs (8), Rodin (7), HeyGen (7), Grok (7), OpenAI (7), Runway (7), Tencent (6), Ideogram (6), plus Magnific, Fish, Topaz, Krea, Reve, LTX, Sync, Beeble, Veo, Claude and Higgsfield entries. Implication: a single ComfyUI graph can mix local open-weight models with hosted clo...
• How do AI music and sound-design tools differ in control: one-shot song generators vs timeline-based scoring (Suno, Lyria on Artlist, ACE Studio)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Three sponsored demos by the same creator show a spectrum. Suno (2026-06-08): text-to-song with generated lyrics, instrumental toggle, exclude-styles, vocal gender, "weirdness" and "style influence" sliders, a sound-effects generator; generate 4-6 variants to choose direction; he states paid plans grant commercial usage rights (not verified here). Lyria 3 Pro on Artlist (2026-03-30): up to 3-minute tracks, custom/auto lyrics or instrumental, genre, mood, theme (commercial, documentary, social, film) and tempo controls, prompt enhancer, and an "Artlist sound" mastering option; Google lists Lyria 3.5 as its current flagship music model in the Gemini API (C3-B343). ACE Stu...
• Is Fish Audio S2 "open-source", and what can it do for AI voice-over (emotion tags, cloning)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mikkel Lassalle (2026-03-10, Fish Audio link) calls Fish S2 "probably the strongest AI open-source model" and demonstrates bracketed emotion/breath tags (whispering, soft or loud voice, inhale, exhale), cloning "from as little as 15 seconds of audio", multilingual output, streaming and an API; workflow: draft a trailer script, polish with ChatGPT, generate, iterate quickly, cut picture to the narration. Licence check on Hugging Face (2026-10-23): fishaudio/s2-pro and the newer fishaudio/drama-3 (2026-10-17) are under a "fish-audio-research-license", and s1-mini is CC-BY-NC-SA-4.0 (gated); the fish-speech code repo shows NOASSERTION. So the weights are openly downloadabl...
• How does Sanderson teach the Hero's Journey as a usable structure (strength-weakness coin, villain as mirror, comedy vs tragedy)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. In a prison-education lesson (2025-12-09; partial read 0:00-~22:30) Sanderson presents Campbell's monomyth as scaffolding against the blank page, not a rule ("lots of good structures"; Way of Kings borrowed an underdog sports-story shape). Stages illustrated with Star Wars and his own life: ordinary world -> call to adventure (a teacher handing him Dragonsbane) -> refusal (studying chemistry from fear of writing badly) -> acceptance -> road of trials, where a strength and a weakness are "one and the same" (his daydreaming/new-idea drive vs refusal to revise) -> early success -> ordeal/belly of the whale caused by the ignored flaw (12 unsold novels) -> confronting the fl...
• How does Brandon Sanderson approach writing characters he dislikes and topics outside his experience (authenticity, sensitivity, character volition)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. From a FanX Q&A (2025-11-06, manual captions): (1) a writer "can't afford" to hate a character: write each as if you love them by understanding motivations, even awful ones (his example: taking over Cadsuane in The Wheel of Time); a GM differs, serving the players' fun. (2) For experiences you have not lived, start with searches like "what do people get wrong about X", then research, but nothing replaces expert readers: fighter pilots told him his researched G-force scenes in Skyward were wrong, forcing revisions; he aims to avoid perpetuating harm in mental-health portrayals. (3) He plots intricately, then gives characters volition; if a character would choose differen...
• How do creators wire Claude to AI media generators via MCP to produce a faceless YouTube video, and what claims should be discounted? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. malvaAI (2026-07-07, Higgsfield-sponsored) shows Claude (Claude Fable 5 selected) researching a niche ("Backrooms") and drafting a video structure, then adding Higgsfield as a custom MCP connector (Claude settings > connectors > custom connector, URL copied from Higgsfield's MCP page) so the same chat generates GPT Image 2 stills and asks for Seedance 2.0 animation prompts per image (15-s multi-shot clips), runs a vendor "virality predictor" on early clips, revises narration, generates thumbnail options, and voices lines with ElevenLabs inside Higgsfield (voice clone only with permission), then edits in CapCut; Higgsfield also offers an agentic "supercomputer" with reus...
• What prompt structures and pre-production steps reduce wasted AI video generations (concept, storyboard, timeline prompts, model choice, post)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-05-27, Higgsfield-sponsored) names five mistakes: (1) prompting before thinking - first fix a concept (subject, action, environment, style incl. shot/lens/camera, audio) and a storyboard: he has Claude turn an idea plus a character sheet into a six-panel storyboard prompt, renders it as one image with GPT Image 2, then has Claude convert panels into a 15-second timeline prompt with time codes, one action per shot, and a character/style block at top; (2) blindly pasting long LLM prompts - an over-detailed prompt made the model skip actions and drift the product design; use references plus a structure; (3) use systems: simple (style + action + camera), "Se...
• How can creators cut AI video generation cost: cheaper models by task, draft-then-upscale, and API vs subscription? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-10-13, Higgsfield) gives three tactics with Higgsfield credit prices on that date: (1) pick the cheapest model that gets 80-90% of the result for the task: a matched shot cost 12 credits on Kling 3.0 vs 72 on Seedance 2.5; for anime he preferred MiniMax H3 (30 credits, 37.5 "max") over Seedance 2.5 (180); his free "model selector" (an LLM over his own test notes) recommends models per prompt, duration and resolution. (2) Seedance 2.5 draft mode: iterate at 480p (45-60 credits per try in his numbers) and pay once to render the chosen take at 1080p (180-240 credits), e.g. 3 iterations cost about 420 credits instead of 720. (3) API vs subscription: pay-per-...
• Which free routes to AI video models exist in Sept 2026 and what limits do they carry, per a two-scene creator test? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Youri van Hofwegen (2026-09-13; run inside Higgsfield, affiliate) tested five models with the same 4-panel character sheet start frame and prompt against Seedance 2.5 as a paid reference: scene 1 (walking in neon rain: realism + motion) ranked Kling 3.0 > Veo 3.1 > Wan 2.7 > Seedance 1.5 Pro > Hailuo; scene 2 (dialogue + lighting a match/candle) ranked Seedance 1.5 Pro > Veo 3.1 > Wan 2.7 > Kling 3.0 > Hailuo (no audio). Overall pick for free use: Veo 3.1 via Google Vids. Veo flagged the candle scene NSFW three times until the start frame was re-lit evenly with the candle already lit (the image, not the words, triggered it). Free-route limits he reports: Hailuo daily cr...
• How do you build a consistent multi-character cast with LoRAs (dataset, captions, training steps) for image and video models, per a July 2026 local workflow? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-07-17) gives five LoRA rules: (1) a made-up trigger word absorbs everything not captioned; (2) vary what should generalize (include wide shots, lighting, poses, clothing), or the character only exists as trained (e.g. close-ups); (3) decide what stays fixed versus editable; (4) captions decide editability: captioned clothes stay changeable but must then be re-prompted; (5) captions are reverse prompts, so match the target model's prompt style (long natural language for Krea 2; structured JSON with bounding boxes for Ideogram 4). Pipeline: an edit-model "character creator" generates a varied synthetic dataset from one or two images (add close-ups of det...
• How can you build a whole AI short shot-by-shot locally with consistent characters and voices (LTX 2.3 + FLUX.2 Klein), and what licences apply? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-05-04): per shot, FLUX.2 Klein generates a start frame from up to 4 references (character face close-up + slightly turned full-body image auto-merged into a sheet; environments/assets too), then LTX 2.3 generates video with audio; an "LTX ID" LoRA plus a voice sample keeps the character voice consistent; each shot group can reference previous shots and color-match the first shot; a shot duplicator and assembler build the edit, and swapping the reference images and voice sample re-casts the whole film without touching prompts (keep character description vague in prompts for this). Paid version adds a 360-degree environment and crop group for consistent ...
• How does a local generative video upscaler (Wan 2.2 tiled) compare with Topaz and FlashVSR, and what settings matter? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); "creativity" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K o...
• How can you do markerless AI performance capture (turn an actor into a creature) with masked video-to-video, and what goes wrong? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-10-07) uses MiniMax H3's reference variant in ComfyUI: feed the original performance video, lock audio to the source, and in-paint only inside a mask (auto-mask from text such as "head, helmet, phone, cable" or a manual Resolve/After Effects matte) so the camera stays locked and the result composites over the plate. Identity is fixed with a character sheet; expressive emotion sheets gave much better facial performance than neutral sheets ("keep the character's identity, look, and art style from picture number one"). Findings: mask size drives head size; full-body masks enable whole-body transformation; partial masks spanning head and lower body produce...
• What practical rules help AI-rendered animation keep continuity and correct actions (guide frames, prompts, start/end frame fixes)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. From the Bare Minimum short (V2, LTX 2.3): describe shot events in order, then expressions; specify handedness explicitly (a wrong-hand reach was fixed only by prompting "reaching... with her left hand"); unseen props (a newspaper) become gibberish when interpolated from a distant guide frame - paint a corrected frame in Photoshop and add it as another guide frame; when start and end frames generated separately drift in minor details, LTX warps between them - composite the start and end frames together manually so shared details match; add a second guide frame early when one is not enough; dialogue audio should be clean dialogue, at least as long as the clip, or the mod...
• How do you "AI-render" a 3D layout locally (3D passes -> video model), and how did the best local approach change from Feb to Aug 2026? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Three Mickmumpitz videos trace one pipeline across 2026. Feb (V1): Inner-Reflections' VACE + SkyReels V3 R2V merge (Apache-2.0 card) reads control passes (VACE) and reference images (SkyReels); export an outline pass (Blender Workbench flat black + white outlines, or Freestyle as a render pass) and a normalized/inverted Z depth pass with a contrast curve; outlines keep composition but let the model invent detail, depth follows geometry more tightly, blend both if needed; keep control-net strength low for start-frame image generation (Z-Image Turbo + control nets); free workflow ~120 frames at 24 fps; paid version chains 81-frame chunks with 11 overlapping start frames f...
• How can you puppeteer AI video with physical props or rough animation (Time-to-Move), and how reliable is it? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2025-12-17): Time-to-Move (TTM, Apache-2.0 repo) is training-free and works with diffusion video models (he uses Wan 2.2; paper also names CogVideoX and SVD). Make a control video by moving toys/cutouts on a stick or by rough After Effects/Blender animation; TTM's "dual-clock denoising" uses lower noise where the character moves (follow the motion) and higher noise elsewhere (clean background). His ComfyUI prep: SAM 3 masks the character (add negative clicks on the stick), Qwen Image Edit removes the stick in start/end frames (also fix hovering by masking larger and prompting "stand on the table... do not change the look"), then TTM with start+end frames fo...
• How do you build a local AI VFX shot pipeline with mask + driving video + control nets + reference images (Wan VACE/Phantom merge), and what fails? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-03-30) uses a community merge of Wan 2.1 VACE (in/outpainting guided by depth, Canny edges, pose) with Phantom (up to four reference images for identity), published as Inner-Reflections/Wan2.1_VACE_Phantom. Building blocks: (1) black-and-white mask (only white is regenerated), (2) driving video = modified plate + control signal, (3) reference images (one = start frame; more = style freedom), (4) detailed prompt (LLM-"proofed" but without camera description). Controls: tracking markers drawn as white squares let the model reproduce camera motion; Canny keeps exact detail, depth allows more new detail; OpenPose plus a back-view reference kept a creature ...
• How does 4D Anyone create a 4D Gaussian-splat capture of a person from one phone video, and what are its limits in a ComfyUI port? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-09-11) ports the 4D Anyone paper (ant-research, Apache-2.0 repo) to ComfyUI: from one (ideally tripod) vertical phone video, a 3D skeleton locks pose per frame and a fine-tuned video model generates up to ~48 consistent synthetic views (it keeps already-generated angles in context and reshuffles which views generate together: far-apart first for shape, neighbours later for smooth transitions), then gsplat trains per-frame Gaussian splats. He swapped the original skeleton code (not licensed for commercial production) for Meta SAM 3D Body (SAM License) and bundled a gsplat setup script. Settings: camera preset (high-quality vs quick 16-view), Turbo on (l...
• How can you generate an explorable 3D Gaussian-splat world from one image or prompt locally, and which world-generation approaches failed on consumer hardware (per Mickmumpitz, Aug 2026)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-08-25) reports weeks of R&D: Apple SHARP (single-image to splat in one pass) stitched across 360-degree slices produced seams and fell apart off-axis, and its licence did not suit commercial users; Insta360 UniSarp (360 to 3D) degrades quickly when moving; HunyuanWorld 2.0 needs two large models resident and targets 4 GPUs; NVIDIA Lyra ran but needs 91 GB of checkpoints, Linux-only, 6-minute first start; World Labs Marble is fast and crisp but restricts movement area and lacks working reflections. Chosen base: Skywork Matrix-3D (MIT): 360 panorama -> depth (MoGe) -> rough mesh -> render camera paths -> Wan 2.1 video model + a lightweight LoRA in-paints...
• Which metrics, baselines and benchmark protocols do the 4D generation papers use, and which reported numbers can be compared across papers without being misled? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S1, S3, S8, S13, S11, S5, S6, S15, S16 rest on the producer's pinned reading. The papers use different metric families and protocols: CLIP R-Precision plus human votes (MAV3D), CLIP Score plus pairwise user study (4D-fy), LPIPS/CLIP/FVD on a seven-object synthetic benchmark (Consistent4D, DreamGaussian4D, L4GM, SV4D), CLIP-F/CLIP-O and image metrics on a 20-case held-out set (Diffusion4D), and view/frame FVD variants plus FV4D (SV4D family). Cross-paper tables carry copied or inconsistent rows: the DreamGaussian4D row in L4GM and SV4D tables (0.16/0.87) equals the Consistent4D row and differs from DreamGaussian4D own Table 3 (0.12/0.92); Consistent4D FVD is 1133.44 in two papers and 1133.93 in a third; L4GM calls the benchmark eight animations while Consistent4D and its uid file list seven. User-study percentages point in opposite directions in MAV3D and 4D-fy. The one independent-protocol re-run found (SV4D 2.0 on i...
• Can I get an animated file I can open in Blender, Unreal or Unity (mesh sequence, PLY sequence, glTF, Alembic) out of these text/image/video-to-4D systems, and what did the authors actually release? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S1, S3, S2, S12, S11, S6, S7, S5, S17, S18, S9, S4, S14 rest on the producer's pinned reading. Among the eight systems, only DreamGaussian4D documents a command-level path to a DCC tool: its README exports a per-frame OBJ mesh sequence and loads it in Blender with the Stop-motion-OBJ add-on. MAV3D describes a mesh-sequence conversion in the paper but has no available code. L4GM ships weights and code whose inference script writes only mp4 renders; a PLY writer exists in its repository but is not called, so a per-frame PLY sequence is an untested route. SV4D / SV4D 2.0 releases sample view-by-frame image grids, and no fitting or export code is visible by path name. No source read mentions Alembic, glTF, FBX or USD output.
• What do text-to-4D, image-to-4D and video-to-4D generation mean in practice, and for MAV3D, 4D-fy, DreamGaussian4D, Consistent4D, SV4D/SV4D 2.0, L4GM and Diffusion4D, what goes in, what representation comes out, and is it something I can run? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S1, S3, S11, S13, S15, S5, S8, S4, S6, S12, S17, S9 rest on the producer's pinned reading. "4D" here means a 3D object or scene that changes over time and can be rendered from new viewpoints; every system read produces a generated asset, not a captured one. Three routes appear in the primary sources: (a) per-asset optimisation against diffusion priors, by score distillation (MAV3D, 4D-fy, Consistent4D) or, for DreamGaussian4D, by fitting Gaussian deformation to a generated driving video with image-diffusion guidance, (b) a diffusion model first generates a grid of views by frames, then a 4D representation is fitted to it (SV4D, SV4D 2.0, Diffusion4D), and (c) a feed-forward network that reconstructs per-frame 3D Gaussians from a video (L4GM). Output representations are dynamic NeRFs or Gaussians; only the DreamGaussian4D abstract mentions animated meshes (per-frame, candidate 02) and no abstract describes a rigged as...
• What frame counts, resolution rules and frame rates do the READMEs of LTX-Video, CogVideoX, Mochi, Wan and HunyuanVideo require, so a shot of a given duration can be specified correctly? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S12, S17, S6, S8, S19, S4, S3 rest on the producer's pinned reading. Frame counts have model-specific forms: Wan 4n+1 (defaults 81 and 121); LTX-Video 8n+1 with sizes divisible by 32 (padding otherwise); CogVideoX 8N+1 with N<=6 (default 49) for the original models and 16N+1 with N<=10 (default 81) for CogVideoX1.5; HunyuanVideo 129 in every listed setting; Mochi: README example uses 480x848 at 31 frames, rule not stated in the README. Frame rates stated: Wan 16 fps (24 for TI2V-5B), CogVideoX 8 fps (1.5: 16 fps), Wan2.2 TI2V-5B 24 fps. Duration = frames / fps, e.g. CogVideoX 49/8 = about 6 s as the README says.
• What do the Wan2.1 and Wan2.2 READMEs and configs state about memory, offloading flags, supported sizes, frame counts and frame rate for each variant? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S1, S2, S6, S3, S4, S5 rest on the producer's pinned reading. Wan2.1: T2V-1.3B supports 480P (832*480); 14B supports 480P and 720P; OOM is handled with --offload_model True and --t5_cpu; the time/peak-memory table is an image. Wan2.2 (commit 1ea34ff48f87168174e12956e200b1d908b1c5ff): A14B variants state at least 80GB VRAM for the 1280*720 command, TI2V-5B states at least 24GB at 1280*704 with offload, dtype conversion and T5 on CPU; defaults are 81 frames at 16 fps (A14B family) and 121 frames at 24 fps (TI2V-5B). The Wan2.2 SUPPORTED_SIZES list in code does not include sizes beyond those in the README. The efficiency table with per-GPU seconds and peak GB is a PNG, so the actual numbers are not in text.
• Is there a dated, machine-readable source for the Physics-IQ Verified leaderboard that gives i2v and v2v scores per model? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-23
  Partially verified: the curator re-read none of the cited sources; S3, S2, S4, S6, S7, S10, S11 rest on the producer's pinned reading. No JSON or CSV results file exists in the benchmark repository at the pinned commit and the leaderboard site exposes no JSON endpoint. Two public sources can be parsed without a browser: the README markdown table at a pinned commit (53 Verified rows, dated, with PR or report links), and typed records embedded in the site JavaScript chunk (52 records with sub-scores, run values, sampling and dateAdded). They agree on 50 of 53 rows within 0.06 points, differ on date-added for most rows and on three Physical Registry and Magi-1 rows, so a curator should cite the README at a commit and treat the site chunk as a convenience copy.

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