Viggle AI turns a single character image plus a motion video into an animated clip, using its JST-1 video-3D model to drive dancing, lip-sync and meme edits. Its PINOC side exports FBX and GLB motion for Blender, Unity and Unreal.
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Viggle AI is a controllable AI video generation platform that turns photos into dancing, lip-syncing, meme-worthy videos. That single sentence, which the company uses as its own homepage description, is unusually precise about what separates Viggle from the broader category of text-to-video tools. The phrase that best captures its category is AI motion capture: rather than inventing movement, it lifts real movement and reapplies it. Most generative video systems ask you to describe a scene in words and then hope the model interprets your intent. Viggle inverts the relationship: you supply the character as an image and the motion as a video, and the model's job is to fuse them while preserving both the identity you uploaded and the movement you demonstrated.
The platform is operated by WarpEngine Canada Inc., a Toronto company. That legal name appears at the top of the privacy policy, and it matches the seller name on the iOS App Store listing and the developer block on Google Play, which gives three independent confirmations of who actually runs the service. The About page states the company was founded in 2023, is headquartered in Toronto, and reports 40 million creators using the platform. That user figure is a vendor self-report and has not been independently audited, so it is worth holding loosely; the app store download and rating counts discussed later in this page are the numbers that come from third parties.
Viggle's technical claim rests on a proprietary model called JST-1. According to TechCrunch's reporting, Viggle trained a 3D-video foundation model, JST-1, to have a "genuine understanding of physics," and founder Hang Chu described the approach in an interview by saying, "We are essentially building a new type of graphics engine, but purely with neural networks." The distinction he draws is between pixel-space video models, which synthesise frames directly and often produce motion that violates basic physical constraints, and a model that carries an internal three-dimensional representation of how bodies articulate. Whether that architecture delivers on its promise is something you can judge from output, but it does explain why Viggle's product surface is built around motion transfer rather than prompt-only generation.
The company's origin story is genuinely unusual for an AI product. Viggle launched as a Discord bot, and its community scaled at a pace that made it a case study in its own right. TechCrunch documented the trajectory: in March 2024 Viggle's Discord had a few thousand members; by mid-May there were 1.8 million members, and by the end of May the server had climbed to over 3 million members. At that point the company had just 15 employees. The virality had a specific trigger — a meme format built on a 2021 clip of rapper Lil Yachty walking onstage at the Summer Smash Festival, which users remixed by inserting Joaquin Phoenix's Joker, NBA player Joel Embiid, Larry David and dozens of others into the same walk-out.
That history matters for two reasons. It explains why so much of the practical knowledge about Viggle lives in community channels rather than documentation, and it foreshadows the consent questions that this page addresses directly in a later section. A tool whose breakout moment consisted of putting celebrities into videos they never appeared in carries a set of obligations that a generic video editor does not.
Founder background is documented by Canadian tech outlet BetaKit, which reported that Chu is a former PhD candidate at the University of Toronto who studied computer vision and machine learning under Waabi's Raquel Urtasun and Nvidia's Sanja Fidler, and that he previously worked as a researcher at Autodesk, Facebook, Nvidia, and Google. The same outlet covered the company's Series A, which was led by Andreessen Horowitz with participation from Toronto-based Two Small Fish Ventures.
Viggle's feature set splits into two products that share a technical foundation but serve quite different audiences: the Animation Tools that power the consumer meme experience, and PINOC, the 3D motion engine aimed at game developers and animators.
Viggle's own legal documentation gives the cleanest definition of the core toolkit, because the animation-tools page has to describe each tool precisely enough to be contractually meaningful. It defines them as follows: Mix lets you mix a character image into a motion video; Multi lets you place several character images into a motion video; Move makes a character in a static image move according to a motion video; Mic makes a character in a static image talk or sing based on your uploaded audio; and Rap makes a rap-style music video using a text prompt and a character image.
Read carefully, that list describes three distinct input patterns. Mix and Multi replace subjects inside footage that already exists, which is the meme use case. Move drives a still image using a reference performance, which is the motion transfer use case. Mic and Rap generate performance from audio or text against a still image, which is the lip-sync and music video use case. Together they cover most of what character animation work actually requires. Understanding which pattern you need is the fastest way to pick the right tool rather than working through them by trial and error.
The Live feature is the most technically demanding thing Viggle ships to consumers. According to the Google Play listing, Live lets you transform into anyone live, with your character mirroring your body movements and facial expressions in real time, and you can record the result or stream directly to Twitch, YouTube, or Kick. All it requires is one image and your camera. For VTubers and streamers this collapses a workflow that traditionally required rigging a model, configuring tracking software, and tuning a pipeline before a single broadcast.
Live also carries its own contractual weight, which is covered in the consent section below, because streaming a transformed likeness in real time creates a different risk surface than rendering a clip privately and deciding afterwards whether to publish it.
PINOC is where Viggle addresses professional pipelines. The product page describes it as extracting skeletal animation from any footage — phone video, webcam, screen recordings — with the motion coming back clean and pipeline-ready. The homepage puts it more bluntly: PINOC extracts skeletal animation from any video footage with no mocap suit, no studio, no fuss, and you preview in 3D and export as FBX or GLB.
The export specification is the detail that determines whether PINOC fits a real production. Viggle states that you export FBX or GLB on a 65-bone Mixamo-named skeleton and keep working the way you already do, listing Blender, Unity, Unreal Engine, Maya, Cinema 4D and Houdini as destinations. A Mixamo-named skeleton matters because it means retargeting onto existing rigs follows a convention that most animators and technical artists already have tooling for, rather than requiring a bespoke bone mapping for every import.
PINOC also offers character generation from a single image, producing what Viggle calls a rigged Gaussian character in about a minute, and an auto-rigging path where you upload a mesh, place guide markers, and the system builds the skeleton and paints the weights. Viggle notes an important constraint on the Gaussian characters: an animated Gaussian character is not a mesh, so no standard format carries it, and a Unity plugin to load it is listed as coming soon. If your pipeline depends on mesh-based assets, the motion export is the part of PINOC you can use today; the character generation is more experimental.
The consumer side leans heavily on preset content. The Google Play listing describes Mix as replacing anyone in a video with a photo, either by uploading your own clip or choosing from over 5,000 templates covering dance, NBA highlights, epic soccer moments and other viral formats. It also describes Look Lab, a transformation feature framed in the listing's own words as growing muscle, going bald, or turning golden — a photo-effects layer distinct from the motion tools.
Templates are the reason casual users can produce something shareable in a couple of minutes. They also mean a large share of Viggle output converges on a small number of formats, which is worth knowing if you are trying to make something that looks distinct rather than recognisably Viggle-shaped.
This is the platform's centre of gravity and the workflow it is most optimised for. You pick a trending motion template, supply a character image, and generate a clip sized for vertical feeds. The iOS app is literally named Viggle AI: Meme Maker, which tells you how the company itself weights this use case — as a meme video maker first and a production tool second. For creators whose posting cadence depends on reacting to trends within hours, the template library plus single-image input removes most of the production overhead.
Live's real-time mirroring makes Viggle a viable entry point for streamers who want a character presence without building a VTuber rig. The direct streaming targets — Twitch, YouTube and Kick — mean the output does not have to round-trip through separate broadcast software, though most serious streamers will still want a proper scene compositor in the chain. The practical appeal is testing whether a character concept resonates with an audience before investing in a commissioned model.
This is the professional use case Viggle's leadership has emphasised. Chu told TechCrunch that a team of animation engineers could take concept designs and quickly turn them into rough animation assets, with the purpose being to see how they look and feel in a rough sketch of the final plan — work that usually takes days or even weeks to set up manually. PINOC's FBX and GLB export on a Mixamo-named skeleton is what makes this more than a demo: the rough pass leaves Viggle and enters the tool where the finishing work actually happens.
Mic and Rap target this directly. Supply a character image and audio, and the system produces a lip-synced performance. For independent musicians the value is producing a visual for a track without a shoot, though the quality ceiling discussed in the limitations section applies here as much as anywhere — sustained close-up performance is exactly where synthetic facial animation is most likely to look wrong.
The Google Play description frames this openly, describing becoming a favourite character from a game or show and creating roleplay and fandom content. This use case sits closest to the intellectual property questions raised later on this page. Fan work occupies contested legal ground even without AI generation, and adding a model trained on material of uncertain provenance does not simplify the position.
Small teams use motion transfer to test whether a character concept or campaign idea reads well before committing to production. The relevant constraint is not technical but contractual: as covered below, output from the free tier carries a watermark, and free PINOC use is restricted to non-commercial purposes, so any commercial test needs to sit on a paid plan from the start.
Viggle offers a web app and mobile apps on iOS and Android. Note one detail that trips up users who arrive through community links: Viggle's own pricing FAQ states that a Viggle account is not connected to a Discord account, and answers "no" to whether all plans work on Viggle's Discord server. Given that Viggle grew up as a Discord product, a lot of older tutorials still describe a Discord-first workflow. Subscriptions attach to the Viggle account, not to Discord.
Work backwards from what you have. If you have footage and want to replace who is in it, use Mix, or Multi for several characters. If you have a still image and a reference performance, use Move; this is the image to video path most people arrive looking for. If you have a still image and audio, use Mic. If you have a still image and only a text idea for a music video, use Rap. If you have footage and want the motion data itself rather than a finished video, use PINOC.
Upload ceilings differ by plan and are worth checking before you shoot anything. On the free plan, Mix video uploads are capped at 1 minute or 50 MB, and Multi-Track uploads at 30 seconds or 30 MB. Paid plans raise Mix uploads to 10 minutes or 100 MB and Multi-Track uploads to 100 MB. Beyond those hard limits, the practical guidance from Viggle's own product pages is to use a clip with one subject and clear movement, since the system is inferring articulation from what it can see.
Free users generate one video at a time. Paid plans raise concurrency to 4 on Pro, 6 on Live and 10 on Max, and the paid tiers are described as offering faster generation. If you are producing a batch, concurrency is often more valuable than raw credit volume, because it determines how much wall-clock time a session takes.
This step is not optional, for reasons covered in both the limitations and the rights sections. Check identity consistency across the clip, look for artefacts at the moments of fastest movement, and — if the character is a real person — apply the consent test described below. Viggle's own guidance recommends a review pass before posting.
On the free plan, asset and generation storage lasts 7 days. Paid plans provide permanent asset storage. That 7-day window is one of the most consequential free-tier limits and the one users most often discover too late: work you do not download within a week is gone.
Budget in seconds, not in generations. Viggle's animation-tools terms define one Viggle Credit as allowing the creation and speed-up of 15 seconds of a Viggle Animation with no watermark applied. Once you internalise that unit, plan arithmetic becomes straightforward: an 80-credit month is a fixed number of 15-second blocks, and a long clip consumes proportionally more than a short one.
Know which credits expire. Viggle's FAQ distinguishes two kinds. Monthly plan credits expire on your billing date. Purchased credits do not expire, but they can only be used while you are subscribed to a Viggle plan. The practical implication is that cancelling a subscription strands any credit balance you bought separately, so time top-up purchases against periods you will actually be subscribed through.
Use PINOC as a first pass, not a final render. Viggle's own framing on the PINOC page is "first pass from PINOC, polish from you." Treating the export as a draft that goes into Blender or Maya for cleanup sets a realistic expectation, and it is how the professional workflow the company describes actually functions.
Choose reference motion with a clearly visible single subject. PINOC's documentation asks for one subject with clear movement. Crowded frames, heavy occlusion and low-light footage all degrade the skeletal extraction, and no amount of post-processing recovers articulation the model could not see in the first place.
Download before the storage window closes. On the free plan this is a 7-day clock. Build the download step into your session rather than treating the platform as an archive.
Prefer AI-generated or fictional characters when consent is uncertain. This is Viggle's own published guidance, and it is also the cheapest way to avoid the entire class of rights problems described below.
Test whether the watermark is acceptable before you commit. The free tier watermarks output, and watermarked material is not suitable for most client or commercial contexts. If you are evaluating Viggle for professional work, evaluate on a paid plan, because the free tier's output is not representative of what you would ship.
Short-form creators and meme makers are the core audience and the group the free tier is designed around. Five videos a day is enough to sustain a casual posting rhythm, and the template library removes the need for editing skill.
VTubers and streamers get a low-friction path to a character presence through Live, with direct streaming to major platforms. The tradeoff is less control than a purpose-built rig.
Independent animators and previsualisation artists are the audience PINOC targets. If you already work in Blender, Maya, Cinema 4D, Houdini, Unreal or Unity, the FBX and GLB export on a Mixamo-named skeleton is what makes Viggle a pipeline component rather than a novelty.
Game developers can pull motion into engines directly, and Viggle's PINOC page lists a video-to-mocap and text-to-motion API, with an MCP server described as upcoming.
Musicians and audio creators can build performance visuals through Mic and Rap without a shoot.
Who should be cautious: anyone whose work involves the likenesses of real people who have not consented, anyone who needs sustained photorealistic close-up performance, and anyone whose organisation requires that uploaded material not be used for model training. That last group should read the rights section carefully, because the default terms and the paid PINOC terms differ substantially on exactly this point.
Viggle runs as a web application at viggle.ai and ships native mobile apps. The iOS app, Viggle AI: Meme Maker, is published by WarpEngine Canada Inc. and carried a 4.77 average rating from 26,742 ratings with a 12+ content advisory rating when checked. The Android app on Google Play showed 4.5 stars from about 152,000 reviews and more than 5 million downloads, with a content rating of Everyone and the developer listed as Warpengine Canada Inc at a Toronto address.
Those two store ratings are worth reading together rather than picking one. Both are large samples well above the threshold where a score becomes meaningful, and both are broadly positive, but the Android sample is roughly six times larger and sits a quarter-point lower. The gap in age rating is more striking: the same product is classified 12+ by Apple and Everyone by Google. Given that the platform's core capability is placing real people's faces into arbitrary video contexts, the Everyone classification is a notably permissive one, and it diverges from Viggle's own terms, which require users to have reached the legal age of majority in their jurisdiction.
For PINOC, the meaningful platform question is the export target rather than the client. FBX and GLB on a 65-bone Mixamo-named skeleton opens in Blender, Maya, Cinema 4D, Houdini, Unreal Engine and Unity. A Unity plugin for animated Gaussian characters is listed as coming soon rather than available.
On Discord: the community remains a large part of Viggle's public presence, but the account systems are separate, and paid plan entitlements do not carry over to the Discord server.
Viggle publishes four tiers, with annual billing marked 20% off. All figures below are from the pricing page as displayed; the annual figure is listed first and the monthly figure second.
Free — $0.00/mo. Five free Viggle videos per day, access to limited models, one video generation at a time, limited Multi-Track sessions per day, limited Real-Time Swap sessions per day, and 7-day asset and generation storage. The comparison table lists Remove Watermark as "No" for this tier.
Pro — $7.99 annual / $9.99 monthly. 80 credits per month, access to limited models, faster generation, watermark removal, 4 concurrent generations, unlimited Multi-Track sessions, larger motion video uploads, permanent asset storage, and limited Real-Time Swap sessions per day.
Live — $15.99 annual / $19.99 monthly. 200 credits per month, access to all models, watermark removal, 6 concurrent generations, permanent storage, and 6+ hours of streaming in Real-Time Swap.
Max — $63.99 annual / $79.99 monthly. 800 credits per month, access to all models, watermark removal, 10 concurrent generations, permanent storage, and unlimited Real-Time Swap sessions.
Beyond the tiers, the credit economics are defined in the animation-tools terms: one credit covers 15 seconds of animation without a watermark, credits have no intrinsic value, are not redeemable for cash and are non-refundable, and if you run out you can buy an extra 20 credits for $3, with unused extra credits rolling over to future months. Viggle also indicates that free trial users may receive additional credits by watching advertisements in the app.
One inconsistency is worth flagging rather than smoothing over. The animation-tools legal page still describes a single paid offering of 80 Viggle Credits per month for $9.99 per month, which is narrower than the four-tier structure the pricing page shows. Legal pages commonly lag product pages, but where the two disagree you should treat the pricing page as the current commercial offer and check the current terms before relying on any specific entitlement. Prices and plan contents change; verify on the pricing page directly before purchasing.
On cancellation, Viggle's FAQ states you can cancel at any time, that cancellation takes effect at the end of the current billing cycle, and that you can restore the subscription before the cycle ends if you change your mind.
Runway and Pika approach video generation from the prompt-and-scene direction rather than motion transfer. They are stronger when you need to invent a scene from nothing and weaker when you need a specific movement reproduced exactly.
Mixamo is the reference point PINOC explicitly positions against, describing itself as a Mixamo alternative offering a free animation library plus the ability to make the exact move you need. Mixamo provides a curated library of pre-made animations; PINOC's pitch is generating motion that is not in any library.
Rokoko and similar markerless motion capture products compete on the mocap axis. They typically offer more control and higher fidelity for production work, at meaningfully higher cost and setup complexity than uploading a phone clip.
Move AI targets video-to-motion capture from ordinary cameras and is the closest direct comparison to PINOC's core function.
Wonder Studio handles character replacement in live-action footage with a more film-oriented workflow.
HeyGen and comparable avatar platforms overlap with Mic on lip-sync, but are built around presenter-style talking-head content rather than full-body performance.
Choosing between them mostly comes down to whether your bottleneck is inventing motion or reproducing it. Viggle is built for the second problem.
The most useful quality assessment comes from a third-party reviewer rather than the vendor. Covering the viral meme wave, TechCrunch observed that in each of those scenes something is a bit off — whether it is the Joker, Joel Embiid or Larry David, the performer's body is shaky, while their facial expressions never change. Viggle's own CEO said something compatible in the BetaKit interview, likening the then-current offering to a prototype and calling it a proof of concept, and acknowledging that video quality was limited at the time with shaky character movement and unchanging facial expressions.
Those observations date from 2024 and the product has shipped several model versions since, so treat them as a description of the failure modes to watch for rather than a current benchmark. The specific weaknesses — instability during fast movement and static facial expression — remain the right things to check in any output you intend to publish.
This is the most consequential thing to understand about Viggle, and it comes entirely from third-party reporting rather than the company's own materials. TechCrunch asked what data Viggle's models were trained on. Chu answered that the company had been relying on publicly available data, and when asked directly whether the training dataset included YouTube videos, he responded plainly: "Yeah."
What followed is documented in the same article. A spokesperson emailed to backtrack, saying the CEO "spoke too soon in regards to if Viggle uses YouTube data as training" and that Viggle was unable to share details of its training data. After the publication pointed out that the earlier comments were on the record, the spokesperson confirmed in reply that Viggle leverages a variety of public sources, including YouTube, to generate AI content, adding that its training data had been carefully curated and refined, ensuring compliance with all terms of service.
The reason this matters is that YouTube's own position conflicts with that framing. As TechCrunch noted, YouTube CEO Neal Mohan told Bloomberg that using YouTube videos to train an AI text-to-video generator would be a "clear violation" of the platform's terms of service. BetaKit reached the same subject independently and added a pointed observation about the vendor's language: it is unclear what "public" means in this context, but given how other tech companies have approached training AI systems, it may refer to availability rather than rights to use said data.
Viggle is not unique here — the same reporting notes that Nvidia, Apple and Anthropic have been reported to use YouTube material — but the unresolved provenance question is a real consideration for anyone whose commercial or legal exposure depends on the training corpus of the models they use.
Viggle's terms state that if you are a Free User of Viggle PINOC, you may only use Viggle PINOC for non-commercial purposes, and that this restriction does not apply if you are a Paid User. This is a hard contractual line, not a soft guideline. Motion exported through a free PINOC account cannot lawfully be used in commercial work under those terms, which makes the free tier unsuitable for evaluating PINOC on an actual paying project.
Alongside the high aggregate scores, the publicly visible Google Play reviews contain recurring themes worth weighing. One reviewer describes the app constantly reporting "network failed, try again later," with videos failing to show or load in the editor, and advises against paying for the subscription on stability grounds. Another describes paying for a subscription, receiving no credits that month, emailing with proof of payment and getting no response, citing the lack of customer service. These are individual accounts rather than measured rates, and they sit against a 4.5 average across roughly 152,000 reviews, but they identify the categories of failure — generation reliability and billing support — most likely to affect a paying user.
This is treated in full in the next section because it is the single most important operational consideration for this class of tool.
Free-tier output is watermarked and storage lasts only 7 days. Free upload caps of 1 minute or 50 MB for Mix and 30 seconds or 30 MB for Multi-Track make the free tier unsuitable for anything beyond short clips. Model access is limited on the Free and Pro tiers, with access to all models reserved for Live and Max. Credits expire on the billing date for monthly allocations. And the platform's core outputs are short-form clips rather than long-form sequences, so extended narrative work means assembling many generations in an external editor.
Viggle's defining capability is placing a real person's appearance into a video they never participated in. That deserves a direct treatment rather than a line in a limitations list, and the picture that emerges from the primary documents is mixed: the company's written position is clear and reasonably strong, while the enforcement mechanism is advisory.
What the terms require of you. Viggle's Terms of Use prohibit uploading User Content that infringes or otherwise violates any rights of any third party, explicitly including rights of personality, image, publicity or privacy. Separately, Viggle reserves the right, in its sole discretion, to remove or delete any User Content based on its content filters, including any User Content that contains the likeness of a celebrity. For the Live feature the requirement is stated more specifically: before using Viggle Live you must have obtained all rights, consents and permissions for your User Content, including ensuring you have obtained the consent of all individuals to be part of the live-stream. The allocation of responsibility is unambiguous — the obligation to hold consent sits with the user, not the platform.
What the company publishes as guidance. Viggle's blog carries an editorial piece on responsible AI creativity that goes further than most vendors in this category bother to. It opens its consent section by noting that AI makes it effortless to put a real person into a meme, and offers a checklist: is this a real person's face, voice, or identity; will people assume this is real; could this embarrass them, misrepresent them, or put them in a weird context; if they saw it, would they laugh or feel exposed. Its best-practices section states the rule plainly: respect likeness rights, and if a real person did not agree to be part of the meme, do not use their face or voice, switching to AI-generated or fictional characters when in doubt. It also advises against random social media photos, private individuals, and images where consent or context is unclear.
Where the gap is. None of that is enforced at upload time. There is no consent attestation step, no rights verification, and no described technical control that inspects an uploaded face against a consent record. The moderation described publicly operates after the fact: BetaKit reported Chu saying the startup has community guidelines, policies and terms in place requiring users to have permission for what they upload, that moderation mechanisms exist against abuse such as NSFW content and political figures, and that Viggle was actively working on a reporting and takedown process. Reporting and takedown is by construction reactive.
TechCrunch made the practical consequence explicit in its coverage of the Discord community, observing that even the Lil Yachty walk-out memes — the content that made Viggle famous — technically violate Viggle's rules, which encourage users to avoid generating images of real people, including celebrities, without their consent. That is the honest summary: the written policy is stronger than the observed practice, and the gap has been visible since the product's breakout moment. If you use Viggle, the consent decision is yours alone, and the platform accepting your upload is not evidence that you hold the rights.
Age. Viggle's Terms of Use require users to represent and warrant that they have reached the legal age of majority in their jurisdiction. The privacy policy states the platform is not directed to children under 13, or under 14 for Quebec residents. Google Play classifies the app as Everyone. These three positions are not consistent with one another, and the terms are the strictest of them.
Face data and training. The privacy policy states that Viggle extracts data such as features and patterns from uploaded images and videos in order to generate the requested animation, that this extracted data cannot be used to identify you, that it is used solely to generate the video and is not stored or retained after generation, and that Viggle does not store users' face data nor share user-related face data with third parties. A copy of your uploaded image or video is saved in your library, which you can review or delete.
The training position, however, is conditional. The same policy states that unless you are a paid user of Viggle PINOC, Viggle also uses the images you provide and the generated content to improve its services, including to train and improve its AI models. The Terms of Use are consistent with this and considerably broader in form: you grant Viggle and its affiliates and service providers an irrevocable, perpetual, worldwide, non-exclusive, royalty-free, transferable and sublicensable licence to use User Content including by training and finetuning the AI contained within the Viggle Animation Tools.
The carve-out is real but narrow. For paid PINOC users, Viggle's terms state it will not use your User Input or PINOC Outputs to train any of its models, to perform services for any third party, or in any marketing, advertising, demos, case studies, templates or community examples without your prior written consent, with an exception allowing Viggle to re-share or feature content you have publicly posted, with attribution. In short: training exclusion is a paid PINOC entitlement, not a default. If you upload someone else's likeness on a free account, you are contributing it to a training corpus under a perpetual licence.
Third-party data sharing. The Google Play Data safety section declares that no data is shared with third parties, that the app may collect Personal info, Photos and videos, and Device or other IDs, that data is encrypted in transit, and that users can request that data be deleted. The privacy policy separately discloses that certain service providers, including Sentry for crash diagnostics and AppsFlyer for marketing attribution, process data on servers in the United States.
Two points of honesty about the scope of this section. Viggle's privacy policy does not contain a dedicated GDPR or California privacy rights section under those names; it describes access and correction rights subject to applicable law and includes provisions specific to Quebec residents. Users in jurisdictions with specific statutory regimes should confirm current terms directly rather than assume coverage. And nothing here should be read as legal advice about your particular use — the terms quoted are what the documents said when they were checked, and both the terms and the privacy policy are updated periodically.
Yes, there is a genuinely usable free tier. It costs $0.00/mo and provides 5 free Viggle videos per day, access to limited models, one generation at a time, and 7-day asset and generation storage. The two limits that most often push people to a paid plan are the watermark — the pricing comparison table lists Remove Watermark as "No" for the Free tier — and the 7-day storage window, after which your generations are no longer retained. Free trial users may also receive additional credits by watching advertisements in the app.
Yes. Viggle's pricing comparison table lists Remove Watermark as "No" for Free and "Yes" for Pro, Live and Max. Consistently, the animation-tools terms define a Viggle Credit as covering 15 seconds of animation "with no watermark applied," which confirms that watermark-free output is tied to credit-based paid generation rather than the daily free allowance.
One Viggle Credit allows the creation and speed-up of 15 seconds of a Viggle Animation with no watermark. Credits have no intrinsic value, are not redeemable for cash and are non-refundable. On expiry, Viggle distinguishes two types: monthly plan credits expire on your billing date, while purchased credits do not expire but can only be used while you are subscribed to a Viggle plan. Extra credits can be bought in packs of 20 for $3, and unused extra credits roll over to future months.
It depends on which product and which tier. For PINOC specifically, Viggle's terms state that free users may only use it for non-commercial purposes, and that this restriction does not apply to paid users — so free PINOC exports cannot be used commercially. More broadly, free-tier output carries a watermark, which rules it out for most commercial contexts regardless. Separately from the platform's own terms, commercial use of a video containing a real person's likeness raises publicity and personality rights questions that Viggle's terms place squarely on you. Check the current terms for your specific plan and use case before relying on any commercial entitlement.
By default, yes. The privacy policy states that unless you are a paid user of Viggle PINOC, Viggle uses the images you provide and the generated content to improve its services, including to train and improve its AI models. The Terms of Use grant a correspondingly broad, irrevocable and perpetual licence covering training and finetuning of the AI within the Animation Tools. The exception is paid PINOC: for those users, Viggle's terms state it will not use User Input or PINOC Outputs to train any of its models, or in marketing, demos or case studies without prior written consent.
Viggle's terms make this your responsibility and its guidance discourages it. The terms prohibit uploading content that violates rights of personality, image, publicity or privacy, and reserve Viggle's discretion to remove content containing the likeness of a celebrity. Its published guidance states that if a real person did not agree to be part of the meme, you should not use their face or voice, and should switch to AI-generated or fictional characters when in doubt. Importantly, there is no consent verification at upload, so the platform accepting your image is not evidence that you hold the necessary rights. TechCrunch noted that even the viral memes that made Viggle famous technically violate these rules.
They vary by plan. On the free plan, Mix video uploads are capped at 1 minute or 50 MB, and Multi-Track uploads at 30 seconds or 30 MB. Paid plans raise Mix uploads to 10 minutes or 100 MB and Multi-Track uploads to 100 MB. Concurrency also scales with the plan: one generation at a time on Free, then 4, 6 and 10 on Pro, Live and Max respectively.
No. Viggle's own FAQ answers this directly, stating that plans do not work on the Discord server because your Viggle account is not connected to your Discord account. This surprises people who found Viggle through its community, since the product originally grew as a Discord bot — TechCrunch documented that server passing 3 million members in 2024. Subscriptions attach to the Viggle account.
PINOC exports FBX or GLB on a 65-bone Mixamo-named skeleton, and Viggle lists Blender, Unity, Unreal Engine, Maya, Cinema 4D and Houdini as destinations. The Mixamo naming convention is what makes retargeting onto existing rigs practical. One caveat: PINOC's Gaussian characters are not meshes, so no standard format carries them, and the Unity plugin for loading them is listed as coming soon rather than shipping.
Viggle is operated by WarpEngine Canada Inc., a Toronto-based company — a name confirmed independently by the privacy policy, the App Store seller name and the Google Play developer block, which lists a Toronto address. The privacy policy discloses that certain service providers, including Sentry for crash diagnostics and AppsFlyer for marketing attribution, process data on servers located in the United States, and notes that personal information may therefore be subject to the laws of those jurisdictions.
