Layer AI
Layer AI is an agentic creative production platform that lets game studios ship on-brand UA ads, live-ops assets, and 3D content at scale using 300+ models in
If your bottleneck is creative volume rather than creative talent, Layer is one of the most purpose-built options in games and entertainment. The agentic rebuild (July 2026), node-based workflows, MCP access from Claude and ChatGPT, and no-per-seat CU billing directly attack the cost of scaling UA output. The September 2026 plugin launch across Photoshop, Premiere Pro, After Effects, Blender, Figma, Slack, and Chrome means it meets artists where they already work instead of forcing a full workflow migration. The catch is commitment: you need a studio willing to invest in Reference Sets, trained models, and workflow templates for the math to work. Solo creators or anyone who just wants a
Verified 7d ago · liveness 78/100 · cite: rightaichoice.com/tools/layer-ai
- Game studios scaling UA creative from dozens to hundreds of assets per cycle across 10-20 markets
- Growth teams who want brand-adherence QA enforced automatically before review
- Producers embedding AI into existing Photoshop, Blender, Maya, Unreal, and Unity pipelines
- Entertainment brands producing multi-region live-ops content on a continuous refresh cadence
- Solo creators or small teams who only need occasional one-off images
- Teams unwilling to invest setup time in Reference Sets, trained models, or workflow templates
- Anyone wanting a zero-configuration AI image generator with no node, workflow, or CU concepts
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Skip Layer if you want a zero-configuration image generator for occasional one-offs — the CU billing model, Reference Sets, and node-based workflows only pay back when you're pushing hundreds of on-brand assets per cycle.
Every generation spends Creative Units, and CU cost varies by model and output size, so a heavy video week can cost multiples of a light image week on the same subscription.
Pricing is usage-based with unlimited members and $0 per seat, so the cost scales with what you generate rather than with how many people touch the work. Small Studio and Mid-Sized Studio tiers both start from $0 with the same feature set — the difference is team size and self-serve volume discounts. Enterprise adds SOC 2 Type II, SAML/OIDC/Okta/Active Directory SSO, custom retention, billing groups, and an SLA with flexible invoicing and annual volume discounts. Compare against per-seat
In short
Layer AI — Layer AI is an agentic creative production platform that lets game studios ship on-brand UA ads, live-ops assets, and 3D content at scale using 300+ models in. Best for Game studios scaling UA creative from dozens to hundreds of assets per cycle across 10-20 markets, Growth teams who want brand-adherence QA enforced automatically before review, Producers embedding AI into existing Photoshop, Blender, Maya, Unreal, and Unity pipelines. Free to use.
What's new in Layer AI
Checked 7 days agoAcross the latest 4 updates: 1 feature update, 2 launches and 1 news mention.
Layer Plugins are Live
Plugins launched for Photoshop, Premiere Pro, After Effects, Blender, Figma, Slack, and Chrome. Each is free with a Layer account, signs in with the same credentials as the web app, and spends Creative Units the same way.
Lip sync, video editor & Interpolate
Added lip sync from lightbox (Sync.so, LatentSync, VEED), an on-canvas video editor, frame interpolation up to 8x with Topaz Apollo/Chronos/Aion, the full Topaz lineup, asset scoring, input guardrails, and Miro integration.
The New Layer Is Here: Why We Rebuilt Creative Production From the Ground Up
Layer rebuilt as an agent you direct rather than a tool you operate, pivoting the product from manual generation workflows to agentic creative workflow direction.
Introducing Layer MCP: Your Creative Engine, Inside Every AI You Use
Released Layer MCP, letting teams brief campaigns and receive production-ready creative from inside Claude, ChatGPT, or a coding agent without switching tools.
Viability Score
How well maintained and how widely used is Layer AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Agentic Creative agent researches, ideates, picks models, and builds workflows from a brief
- 300+ models across image, video, 3D, and audio in one workspace (API docs cite 500+)
- Image generation with FLUX, QWEN, SDXL, Gemini 3.1 Flash Image, Seedream 5.0 Pro
- Natural-language image editing that keeps assets on-style
- Full-length video generation with Veo 3.1, Seedance, Kling, and Wan on a timeline
- Image animation from a single keyframe into hooks or loops
- 3D model generation with T/A poses, PBR textures, and engine export to Blender/Maya
- Image-to-3D conversion from concept art or photos into textured meshes
- Audio generation for sound effects, character VO, and lip-synced video via ElevenLabs
- Lip sync from lightbox via Sync.so, LatentSync, and VEED (Sep 2026)
- On-canvas video editor (Sep 2026)
- Frame interpolation up to 8x with Topaz Apollo/Chronos/Aion (Sep 2026)
- Voice generation and voice cloning across languages via Reference Sets
- Custom model training on your art style with 40+ pre-built models to start
- Node-based workflow editor for repeatable pipelines, buildable by you or the agent
About Layer AI
Layer AI is an AI production workspace for creative teams in games and entertainment who need high-volume, on-brand output — user acquisition ads, live-ops assets, and IP-driven visuals — without adding headcount. You hand it a brief and the Agentic Creative agent researches, ideates, picks models, builds a workflow, and generates assets. The platform pulls 500+ models across image, video, 3D, and audio into one workspace per its API docs (the vendor site markets this as 300+). Generate 2D with FLUX, QWEN, SDXL, Gemini 3.1 Flash Image, or Seedream 5.0 Pro, or your own trained models; edit with natural-language prompts so assets stay on-style; cut full-length video with Veo 3.1, Seedance, Kling, and Wan on a prompt-by-prompt timeline. Animating a still into a hook or loop, generating sound effects and character VO, and syncing lip movement are all supported. The September 2026 changelog added lip sync via Sync.so, LatentSync, and VEED, a canvas video editor, and frame interpolation up to 8x with Topaz Apollo/Chronos/Aion. A node-based workflow editor turns repeatable pipelines into team-wide standards, batch runs push one prompt across an entire asset set, and QA scoring grades every generation against the brand rules you set. Reference Sets keep approved characters, backgrounds, objects, and cloned voices reusable across lines and languages. Layer MCP (March 2026) lets you brief campaigns from Claude, ChatGPT, or a coding agent, and Connectors to AppLovin, Meta, Google, TikTok, and Drive feed real performance data back to the agent. Pricing is usage-based with no per-seat fees — unlimited members, billed in Creative Units (CUs) that reflect the compute each generation costs.
Behind the Verdict
Layer's core bet is that AI creative production in games is not a model problem but a workflow problem, and the product reflects that. You can generate one image with dozens of tools; the harder task is producing 300 UA ad variants across 15 markets that all pass brand review the first time. Layer's answer is the agentic layer: hand it a brief and the Agentic Creative agent researches, ideates, picks the right model, and builds a workflow. Reference Sets keep approved characters and styles reusable so nothing drifts off-brand. QA scoring grades every generation against brand adherence rules you set once, which moves QA from post-hoc review to automatic gatekeeping. The model catalogue is genuinely broad — the vendor site says 300+ across image, video, 3D, and audio, while the API docs claim 500+, with FLUX, QWEN, SDXL, Gemini 3.1 Flash Image, Seedream 5.0 Pro, Veo 3.1, Seedance, Kling, Wan, and ElevenLabs (audio/VO/lip-sync) all named. A node-based workflow editor turns your pipelines into team standards; batch runs apply one prompt, edit, or workflow across a whole asset set. Layer MCP (March 2026) lets you brief campaigns from Claude, ChatGPT, or a coding agent, and AppLovin/Meta/Google/TikTok/Drive Connectors feed performance data back into the loop. The September 2026 changelog is the biggest recent expansion: plugins live in seven places — Photoshop, Premiere Pro, After Effects, Blender, Figma, Slack, and Chrome — all free with a Layer account and consuming CUs the same way as the browser. Lip sync landed from three providers (Sync.so, LatentSync, VEED), a video editor now runs on-canvas, and frame interpolation goes up to 8x with the Topaz Apollo/Chronos/Aion lineup and full Topaz support. Where it doesn't fit: non-gaming, non-entertainment teams whose pipeline isn't UA or live-ops will find the concepts (Reference Sets, workflows, CUs, Projects) overhead. Solo creators who want a zero-configuration image generator are better served elsewhere. And because output depends on external providers — many third-party models across four modalities — availability and quality fluctuate with those vendors' roadmaps, not Layer's. The Trends feature is still in beta.
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Real-world workflow fit
Concrete scenarios for the personas Layer AI actually fits — and what changes day-one when you adopt it.
Brief the Agentic Creative agent from inside Claude via Layer MCP with a new campaign concept, let it pick models and build a workflow, then push one prompt across 300 asset variants in batch and let QA scoring block anything off-brand before review.
Outcome: Hundreds of on-style ad variants ready for AppLovin, Meta, TikTok, and Google in days instead of weeks, with brand-adherence scoring handled automatically before the creative team sees them.
Install the Blender add-on for textures and concepts, the Photoshop plugin for selection-based regeneration on an open document, and the Premiere Pro plugin to generate, reframe, and upscale without leaving the timeline — all signed in with the studio's Layer account.
Outcome: AI generation lands inside the tools the team already uses, generations save back to a Layer session so teammates find them where they always look, and CUs are spent the same way as in the browser.
Build a node-based workflow once for a recurring event asset type, train a custom model on the game's art style, then batch-run that workflow against each new event brief with Reference Sets locking in approved characters, backgrounds, and cloned voices across languages.
Outcome: Daily live-ops assets and localized character VO ship on a continuous cadence without adding headcount or briefing an agency for every refresh.
Use Cases
- Generate 200-500 UA ad variants across 10+ markets in days.
- Produce daily live-ops content for multi-region game events.
- Create hundreds of in-game assets consistent with your brand style.
- Rapidly prototype 10-20 concept variations for a new game.
- Automate thumbnail, decal, and texture generation for Roblox UGC.
- Generate marketing banners, trailers, and social visuals for a game launch.
- Produce sound effects, character voiceovers, and lip-synced video via ElevenLabs, Sync.so, LatentSync, and VEED.
- Brief campaigns from inside Claude, ChatGPT, or a coding agent via Layer MCP.
Models Under the Hood
as of 2026-09-21
Limitations
- Layer is a usage-based agentic creative production platform aimed at game studios and entertainment teams, with no per-seat fees and unlimited members.
- It relies on many third-party models for image, video, 3D, and audio generation (FLUX, QWEN, SDXL, Gemini 3.1 Flash Image, Seedream 5.0 Pro, Veo 3.1, Seedance, Kling, Wan, ElevenLabs, Sync.so, LatentSync, VEED, Topaz) alongside custom-trained models, so output quality and provider availability depend on those external services rather than on Layer alone.
- Costs are denominated in Creative Units and vary by model and output size, so your monthly bill moves with usage patterns rather than a flat subscription.
- Capabilities are surfaced through an agent, MCP, a CLI, a node-based Blueprint/workflow editor, and batch runs, which means some learning curve before the platform pays back.
- The Trends feature is still in beta, and the API documentation cites 500+ models while the marketing site cites 300+, so catalogue counting is not consistent across vendor pages.
as of 2026-10-01
Verification history
We have re-verified Layer AI 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Layer AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Small Studio
Usage-based (from $0)
Ideal for
Individual creators or small teams of 1-10 people who want the full model catalogue and workflows with unlimited members and $0 per seat.
What this tier adds
Starting tier — full access to Image, 3D, Video, and Audio models, custom style training, workflows, API/webhooks, and commercial license, billed by CU usage from $0.
Mid-Sized Studio
Usage-based (from $0)
Ideal for
Growing studios and mid-sized teams of 10-25 people who want the same feature set as Small Studio plus self-serve volume discounts.
What this tier adds
Same full feature set as Small Studio with no feature gates; adds self-serve volume discounts and user roles across workspaces.
Enterprise
Custom
Ideal for
Studios of 25+ people running high-volume production who need SOC 2 Type II, advanced SSO, custom retention, and a dedicated SLA.
What this tier adds
Adds annual plans with volume-based discounts, flexible invoicing and purchase orders, billing groups across cost centers, SOC 2 Type II, advanced SSO (SAML, Google, OIDC, Microsoft, Okta, Active Directory), custom data retention, and dedicated support with SLA.
Where the pricing makes sense
The company stage and team size where Layer AI's pricing actually pencils out — and where peers do it cheaper.
Pricing is usage-based with unlimited members and $0 per seat, so the cost scales with what you generate rather than with how many people touch the work. Small Studio and Mid-Sized Studio tiers both start from $0 with the same feature set — the difference is team size and self-serve volume discounts. Enterprise adds SOC 2 Type II, SAML/OIDC/Okta/Active Directory SSO, custom retention, billing groups, and an SLA with flexible invoicing and annual volume discounts. Compare against per-seat
Setup time & first value
How long it actually takes to get something useful out of Layer AI — broken out by persona, not the marketing-page minute.
Small Studio: sign up, connect a workspace, and generate your first image in under an hour — the agent handles model choice. Mid-Sized Studio: budget a day to configure Reference Sets, train one custom style, and define QA scoring rules before batch runs are reliable. Enterprise: plan one to two weeks including SSO (SAML, OIDC, Okta, Active Directory), data retention, billing groups, and pipeline
Switching to or from Layer AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Midjourney or Ideogram: import your approved style references into Reference Sets, train a custom model on the art style, and swap one-off prompting for node-based workflows so output is repeatable.
- →From an in-house Stable Diffusion pipeline: move 2D generation onto FLUX, QWEN, and SDXL through the REST API or SDK, and keep your ComfyUI-style graphs by rebuilding them in Layer's node-based editor as callable
- →From per-seat creative tools like Adobe Firefly or Canva: replace the per-editor subscription with Layer's $0 per seat model and install the Photoshop, Premiere Pro, and Figma plugins so artists stay in their existing
- →From agency creative production: bring UA asset production in-house by moving briefs, Reference Sets, and QA rules into Layer Projects so campaigns ship without an external agency retainer.
- →From scattered single-purpose AI tools: consolidate image, video, 3D, and audio generation into one workspace so CUs, assets, and brand rules live in one place.
- ↗To Midjourney or Ideogram: for pure 2D image exploration with no workflow, Reference Set, or CU concepts, export your Asset Library and switch to a prompt-only tool.
- ↗To an in-house ComfyUI or Stable Diffusion stack: for full control over inference and hosting, export trained models and Reference Sets, then rebuild pipelines on your own GPU infrastructure.
- ↗To Adobe Firefly plus Creative Cloud apps: if you mainly need generation inside Photoshop and Premiere for a small team, the Firefly-native workflows may be simpler than running Layer alongside them.
- ↗To Runway or Veo/Google's native video tools: for teams centered on video generation only, direct access to the underlying video models may cost less than a full Layer subscription.
Integrations
Resources & Guides
- Documentationlayer.ai
Docs · Layer AI
Full product docs from layer.ai
- Quickstartlayer.ai
Quickstart · Layer AI
Get up and running fast from layer.ai
- API Referencelayer.ai
Cli · Layer AI
Methods, params, types from layer.ai
- API Referencelayer.ai
Sdk · Layer AI
Methods, params, types from layer.ai
- Documentationlayer.ai
Mcp · Layer AI
Full product docs from layer.ai
- Documentationlayer.ai
Models · Layer AI
Full product docs from layer.ai
- Resourcelayer.ai
Changelog · Layer AI
Helpful link from layer.ai
Tutorials & Learning

大規模なゲームアセット生成のための AI ワークフロー | Layer.ai ワークフローチュートリアル パート 1
Layer

Layer.ai で初めての AI ワークフローを構築する | ワークフローチュートリアル パート 2
Layer
YouTube returned 6 videos for “Layer AI”, and we withheld 4: 4 could not be judged, because “Layer AI” is a single word that other videos use for other things. Showing the 2 we can prove are about Layer AI.
Official links
Tools that pair well with Layer AI
Common stack mates teams adopt alongside Layer AI, with the specific reason each pairing earns its keep.
Lalaland.ai
Enterprise AI fashion models for Browzwear's 3D design ecosystem — 3D assets in, on-brand product imagery out.
Tripo AI
Tripo AI turns text prompts, images, or sketches into engine-ready 3D models — quad-mesh game assets, print-ready STLs, and textured characters in minutes.
Adobe Firefly Services
Adobe's enterprise APIs for programmatic image generation and editing, built on the Firefly models and licensed training data.
Alternatives to Layer AI
View allLalaland.ai
Enterprise AI fashion models for Browzwear's 3D design ecosystem — 3D assets in, on-brand product imagery out.
Tripo AI
Tripo AI turns text prompts, images, or sketches into engine-ready 3D models — quad-mesh game assets, print-ready STLs, and textured characters in minutes.
Adobe Firefly Services
Adobe's enterprise APIs for programmatic image generation and editing, built on the Firefly models and licensed training data.
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