Layer AI
AI operating system for game studios and entertainment brands that scales creative production.
If your game studio or entertainment brand produces hundreds of creative assets weekly, Layer's model-agnostic platform and workflow automation cut production timelines dramatically. It's overkill and too pricey for small teams needing occasional one-off images — stick with simpler tools for that.
- Game studios scaling UA creative across multiple markets using automated workflows
- Entertainment brands producing high-volume live ops and IP content
- Creative teams automating repetitive asset generation without scaling headcount
- Agencies serving top global brands needing rapid multi-variant ad creatives
- Small teams needing only basic one-off image generation
- Teams relying heavily on manual art direction without bulk automation
- Users seeking a simple, no-setup AI image generator without workflow complexity
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Skip Layer if you only need occasional one-off images or your creative workflow is entirely outside games and entertainment.
Going past the free tier (200 images, 100 seconds video, 10 3D models, 300 min audio) requires buying Creative Units, which can add up fast at high volume.
Layer's usage-based pricing with no per-seat fees is ideal for small-to-mid-sized studios that need flexibility — you only pay for what you create. However, high-volume studios may find costs comparable to or higher than flat-rate tools like Midjourney or Leonardo.ai when generating many assets. The Enterprise tier adds compliance and volume discounts for large teams.
In short
Layer AI — AI operating system for game studios and entertainment brands that scales creative production. Best for Game studios scaling UA creative across multiple markets using automated workflows, Entertainment brands producing high-volume live ops and IP content, Creative teams automating repetitive asset generation without scaling headcount. Free to start; paid plans from $0.013/mo.
What's new in Layer AI
Checked 11 days agoAcross the latest 5 updates: 1 feature update, 1 launch, 2 changelog entries and 1 news mention.
Introducing Layer MCP: Your Creative Engine, Inside Every AI You Use
Layer MCP enables AI assistants to generate production-ready creatives directly without tool switching.
GDC 2026 Recap: How AI Workflows Are Transforming UA Creative Production for Game Studios
Recap of GDC 2026 highlighting AI workflow adoption for user acquisition creative production in games.
Layer Update (Feb '26): Workflows, Rich Exports, New Models, GDC
February update: shareable workflows, overhauled exports, and new image generation models.
Google Nano Banana 2 & ByteDance SeedDream 5 Lite Are Now Live on Layer
Added Google Gemini 3.1 Flash Image and three other models to Layer's image generation stack.
Layer Update (Jan '26) - Scaling UA Creatives with Workflows From Foundations to Scale
January update: scaling user acquisition creative production via new Workflows system.
Viability Score
How likely is Layer AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI image generation with 40+ models (FLUX, DALL·E, Imagen, Gemini 3.1 Flash Image, SeedDream 5 Lite)
- Video generation and editing with various models
- 3D model generation with PBR textures
- Audio generation (sound effects, character VO, lipsync)
- Custom model training for brand style consistency
- Node-based workflow automation (Layer Workflows) with shareable templates
- Agent-powered workflows via Layer MCP for AI tool integration
- Bulk generation for hundreds of assets per day
- Real-time collaboration with pooled credits (no per-seat fees)
- Image and video editing via natural language
- Rich export options (overhauled in Feb 2026)
- API and webhook access
- Enterprise-grade security (SOC 2 Type II, SSO, RBAC, audit logs)
- Direct integration with Photoshop, Blender, Unreal Engine, Unity, Figma
- Mobile app (not confirmed, but web-based workspace)
About Layer AI
Layer is an AI platform built specifically for game studios and entertainment brands that need to scale user acquisition (UA), live ops, and IP content production without sacrificing quality or creative control. It aggregates 40+ leading generative models into a single workspace, enabling teams to generate and edit images, video, 3D models, and audio. With node-based workflow automation (Layer Workflows) and agent-powered workflows, Layer reduces iteration time by up to 70% and increases UA variant volume by 500–1000%. Custom model training ensures on-brand consistency, while bulk generation delivers hundreds of assets per day. Layer is model-agnostic, so you get immediate access to new models like Google Gemini 3.1 Flash Image and ByteDance SeedDream 5 Lite as they launch. Unlike generic AI image generators, Layer is purpose-built for high-velocity creative pipelines, integrates with tools like Photoshop and Unreal Engine, and offers enterprise-grade security (SOC 2 Type II). No per-seat fees — you pay only for what you create using Creative Units.
Behind the Verdict
Layer is purpose-built for teams who need to churn out hundreds of on-brand assets weekly for UA, live ops, and IP content. Its node-based Workflows and agent-powered automation slash iteration time by 70% and boost UA variant volume 500–1000%. The model-agnostic approach means you get day-0 access to new models like Google Gemini 3.1 Flash Image without switching tools. Custom style training keeps outputs consistent, and the Layer MCP integration lets AI assistants generate creatives directly. We'd reach for this when scaling multi-market UA campaigns or live ops events where speed and volume are critical. Where it bites: if you only need occasional one-off images, the usage-based pricing and workflow complexity are overkill. Small teams may find simpler tools like Midjourney or DALL·E more cost-effective. Compared to Leonardo AI or Scenario, Layer's enterprise focus, node-based automation, and integration with game engines (Unreal, Unity) give it an edge for large studios. But the learning curve for Workflows and the lack of a true free tier beyond 200 images mean it's not a casual tool. In practice, teams need to invest in setup and prompt engineering to realize the 70% time savings. Layer's strength is in repeatable, high-volume pipelines — not spontaneous, one-off creativity.
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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.
You need 300 ad variants across 10 markets for a new game launch, with each variant featuring localized text and multiple aspect ratios.
Outcome: With Layer Workflows, you set up a node-based pipeline that generates variants in bulk, reducing a 4-week manual process to 3 days. You launch 10 days early and see a 40% better CPA due to increased creative diversity.
Your team must produce daily live ops banners for a live game running events in 6 regions simultaneously.
Outcome: Using custom style training and Layer's bulk generation, you create 150 on-brand banners per day, eliminating the art bottleneck. Live ops output increases 200% without adding headcount.
You're prototyping a new game and need 20 concept variations for characters and environments, but your team has no dedicated artist.
Outcome: Layer's real-time live canvas and rapid iteration let you explore 20+ concepts in a week, validate early, and hand off the best ones to production. You save weeks of outsourcing costs.
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 media visuals for a game launch.
- Produce sound effects and character voiceovers for game audio via ElevenLabs.
- Scale IP content production for entertainment brands across multiple franchises.
Models Under the Hood
as of 2026-07-06
Limitations
- Pricing is usage-based and can become expensive at high volumes, especially for video and 3D generation.
- The free tier is limited to 200 images, 100 seconds of video, 10 3D models, and 300 minutes of audio.
- Video and audio features are less mature than dedicated tools (e.g., Runway for video, ElevenLabs for audio).
- The platform is heavily game-oriented; non-game creative teams may find the workflow builder overly specific.
- Setup requires training custom style models for consistency, which takes time.
as of 2026-07-02
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
$0.01–$30/mo (usage-based)
Ideal for
Solo creators or small teams of 1–10 people exploring AI-assisted creative production for game UA and live ops.
What this tier adds
Starting tier with no per-seat fees; includes all models and features, but usage-based pricing ramps with volume.
Mid-Sized Studio
$30–$300/mo (usage-based)
Ideal for
Growing studios and medium teams of 10–25 people with higher output needs across multiple projects.
What this tier adds
Higher default usage thresholds and volume-based discounts compared to Small Studio.
Enterprise
Custom
Ideal for
Large teams of 25+ people and high-volume production requiring dedicated support, compliance, and custom billing.
What this tier adds
Adds SOC 2 Type II compliance, advanced SSO (SAML, Okta), custom data retention, dedicated SLA, and professional services.
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.
Layer's usage-based pricing with no per-seat fees is ideal for small-to-mid-sized studios that need flexibility — you only pay for what you create. However, high-volume studios may find costs comparable to or higher than flat-rate tools like Midjourney or Leonardo.ai when generating many assets. The Enterprise tier adds compliance and volume discounts for large teams.
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.
Individual users can generate their first image in minutes after signing up. Training a custom style model for brand consistency takes a few hours to a day, depending on your reference assets. Workflow automation (Layer Workflows) may require a few days to design and fine-tune for your specific 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 manual pipeline: Replace manual Photoshop/Blender workflows by connecting Layer via plugins and training custom style models on your brand assets.
- →From Midjourney/Leonardo.ai: Import your style references, train a custom model, and set up bulk generation workflows to scale beyond single-image prompting.
- →From in-house AI scripts: Use Layer's API and webhooks to integrate with your existing automation, replacing homegrown solutions with a managed platform.
- ↗To Midjourney/Leonardo.ai: Export your trained style models and bulk-generated assets; note that you lose workflow automation and multi-model access.
- ↗To custom pipeline: Download all generated assets via API and rebuild workflows in-house using open-source models, requiring significant engineering effort.
Integrations
Resources & Guides
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.
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