GGenAI Studio
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Serverless GPU pipeline

Generative media,
billed by the second.

Edit images and clone voices on dedicated GPUs that spin up on demand and shut down when idle. Every run is tracked to the fraction of a cent, so you always know what a generation cost.

2
live modules
1
base URL
~$0.02
per generation
Abstract neural network visualisation
Generating80%

What it runs

Abstract coloured light patterns
Image

Kontext

Compose up to four reference images and reshape them with a prompt. Runs FLUX.1-Kontext on an A100.

Prismatic light refracting through glass
Image

Flux.2

Generate from a prompt alone, or steer it with up to six reference images kept separate at full resolution. Runs FLUX.2-dev on an H100.

Geometric light structures
Image

Qwen Text-to-Image

Generate at 2K from a prompt, or drive the geometry with real pose, depth and edge control. Apache-2.0 licensed and open weights.

Layered translucent surfaces
Image

Qwen Edit

Edit with up to three references the model actually reads, under stackable skin realism and multiple-angle adapters. Apache-2.0 licensed and open weights.

Audio mixing console faders
Speech

Chatterbox

Clone a voice from a short reference clip and make it read any script. Runs on a cost-efficient T4.

How it works

01

Request hits the gateway

A single base URL fronts every module. The CPU gateway validates, writes a job row, and returns an id in milliseconds.

02

A dedicated GPU picks it up

Each module spawns its own worker with its own GPU class, so speech synthesis never pays for an A100 it does not need.

03

Progress streams back live

Workers write progress straight to the database and the browser subscribes to that row. No polling, no waiting on an open connection.

Network of illuminated connection points

Know what every run costs

GPU, CPU and memory time are recorded per second and attributed to the project that triggered them — including the idle minutes and cold starts most platforms quietly bill you for.

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