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IP-Adapter on a dedicated GPU for your team

IP-Adapter is a useful enterprise deployment target when teams want image-conditioned generation without exposing private brand or product references to shared infrastructure.

Inputs

Reference images, prompts, private style and product assets

Outputs

Image-conditioned generations that stay closer to input references

IP-Adapter sample output

Why teams deploy IP-Adapter

Teams choose a dedicated GPU for IP-Adapter when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.

reference-based generation
brand consistency
private image-conditioned workflows

Deployment details

Modality
Image
Deployment
Dedicated adapter-enabled image runtime on enterprise GPU
Starting at
$1999/month

Supported capabilities

Image-conditioned generation
Private reference handling
Adapter-based pipelines
Dedicated storage integration

Common use cases

brand systems
visual search results
private style transfer products

What you get with Enterprise

Dedicated GPU deployment with no shared queue contention
100% private workloads, prompts, and generated outputs
Code access for custom runtimes, adapters, and optimization
Bring-your-own S3 storage for assets, checkpoints, and outputs
Enterprise Deployment

Get a dedicated GPU for this model

Get IP-Adapter running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.

Full privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Your own S3 for checkpoints and generated assets
Dedicated GPU — no shared queue or throttling

Starting at

$1999/month

Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.

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