Every output becomes the next input.
Compose image and video model chains on a visual canvas, then run the same flows through a durable self-hosted API with one final callback.
Design and chain your canvas
with an agentic planner.
Lay out a chain on the canvas, then let an agentic planner read the previous output, the chain context, and the model schema to propose the next step. Approve each checkpoint in Copilot, or hand it the wheel on Autopilot.
Approve every step
Copilot proposes the prompt and fields for the next step; you lock the values and approve before it runs.
Run the whole chain
Autopilot applies each planned step automatically and hands every output to the next model.
Persist and replay every run
on a durable database.
Every run, step, checkpoint, and output is written to a durable Postgres database, so retries stay idempotent and any paused run resumes exactly where it stopped. Your deployment owns the schema, rows, and full run history.
Self-hosted with your own keys and environment.
Run BabyChain in either mode: BYOK connects to your providers directly; BabySea mode uses your BabySea API key behind the same API contract.
BYOK mode
Connect your inference provider credentials. Your BabyChain deployment owns model access, provider settings, and orchestration.
BabySea mode
Use one BabySea API key for supported chain execution while keeping BabyChain routes, callbacks, and template contracts unchanged.
Orchestrate model-to-model workflows.
BabyChain runs chained image and video steps where each output can be transformed, restyled, or extended before one final callback.
Chain templates
Each route defines step order, default models, dependencies, and the public run contract in the template layer.
Request contracts
Create-run requests are validated before execution so inputs, callbacks, and model overrides stay predictable.
Persistent runs
Runs, ordered steps, outputs, provider metadata, callbacks, and replay checks stay in server-side storage.
Autopilot planning
Autopilot-mode can propose each next step from the previous output, chain context, and model schema.
Copilot approvals
Copilot-mode checkpoints persist server-side, so you lock and approve each planned step or resume an awaiting run later.
Credential isolation
Caller apps authenticate at your API boundary while provider BYOK credentials remain inside your backend.
Output handoff
A successful generation output becomes the next model input without extra orchestration from the caller.
File storage
Completed image and video outputs can be copied to your own storage, while provider URLs keep working when storage is off.
API control plane
Your deployment owns the orchestration API, queues, callbacks, and route contracts for products and tools.
We are part of the AI community.
BabySea and its founder, the builder of BabyChain, are active across the AI community; joining accelerators and creator cohorts, sharing early feedback with model and tooling teams, and helping shape how image and video generation reaches real creative workflows.
Huge thanks for the support.
Huge thanks to the companies and teams who support BabyChain, and to future sponsors who want to help open generative media infrastructure move faster.
Design on the canvas. Ship the API.
Fork the starter, connect your provider keys, and compose flows on the canvas, or hand the next step to an agentic planner. Every run persists in durable database and ships through stable image and video routes for products, automations, and internal tools.