PixelFlow: Visual AI Workflow Builder
Build AI workflows on a visual canvas — chain image, video, audio, and LLM models without code, then publish any workflow as a production-ready API.
PixelFlow is Segmind's visual AI workflow builder. Drag models onto a canvas, connect them into a pipeline, and run the whole thing with one click — no code, no GPU setup, no infrastructure. When your workflow is ready, publish it as a REST API and call it from any application.
Video coming soon
Building and running a workflow in PixelFlow
https://segmind-resources.s3.amazonaws.com/docs/pixelflow/posters/hero.mp4
What is PixelFlow?
PixelFlow is a node-based editor for generative AI. Every workflow is a graph: input nodes take your prompts and files, model nodes call any model in Segmind's catalog — image, video, audio, and language models — and output nodes display the results. Edges carry data between them.
Because every node is a hosted model running on Segmind's cloud, there is nothing to install and no GPU to rent. You pay per model call with the same credits used across the Segmind platform.
What can you build?
- Multi-step image pipelines — generate an image, upscale it, swap a background, and brand it in one run.
- Text-to-image APIs — wire a prompt input to an image model and publish it as an API your app can call.
- LLM chains — connect language models with chat history for conversational agents, or use an LLM to write prompts for an image model.
- Batch and parallel processing — fan out one output across many model runs and collect the results.
- Multi-modal workflows — combine image, video, audio, and text models in a single graph.
How it works
- Build — add nodes from the sidebar, connect them on the canvas, and configure each model's parameters in a form generated from its schema. See the editor.
- Run — execute a single node or the whole workflow. Watch progress live, inspect logs, and pin completed nodes so they don't re-run while you iterate.
- Publish — turn the workflow into a versioned REST endpoint with one click. Submit requests, poll for status, and fetch results from your own code. See the API reference.
PixelFlow vs. the Serverless API
| PixelFlow | Serverless API | |
|---|---|---|
| Best for | Multi-step pipelines, visual iteration | Single-model calls from code |
| Interface | Visual canvas | REST API |
| Chaining models | Built in — connect nodes | You orchestrate in your code |
| Output | Run in browser or publish as one API | One API call per model |
Use the Serverless API when you need a single model in your stack. Use PixelFlow when the value is in the combination of models — and you want the whole pipeline behind a single endpoint.