Baseten

Inference infrastructure for fast, scalable open model image generation

Advanced API

What is Baseten?

Baseten is an inference platform for running open image generation models such as Flux Schnell, Flux Dev and SDXL Lightning in production, with real time serving, an API first workflow and infrastructure that scales with traffic.

Baseten is an inference platform aimed at teams that want to run open image generation models in production rather than through a hosted consumer app. The image generation solution page positions the product around speed and cost efficiency, with hosting tuned for real time workloads and capacity that scales with demand. The offering is squarely infrastructure: a company brings its own prompts and application, and Baseten handles serving the models underneath. The platform ships a library of ready to deploy open models, including Flux Schnell, Flux Dev and SDXL Lightning, alongside a text to image collection. That matters because model choice drives both output quality and per image cost, and teams can benchmark candidates before committing. Chaining workflows are covered in the documentation, so a text to image call can sit inside a larger pipeline instead of being a standalone endpoint. Inference runs on NVIDIA hardware with a serverless style deployment flow: sign up, deploy, and call the model through an API. The audience is product and engineering teams building image features into their own software: a design tool that needs on demand visuals, a marketing platform generating variants at volume, or an app that renders images while a user waits. The customer roster spans large consumer and enterprise names across design, productivity and search, which signals the platform is built for traffic rather than experimentation. A custom model route exists for teams with their own weights. Against fully managed image APIs, Baseten trades some convenience for control over model selection, hardware and cost curve, and it does not replace a creative interface for people who simply want to type a prompt and download a picture. The site also advertises arrangements for teams with existing OpenAI commitments who want to run open models. Pricing figures are not published on this page, so costs have to be scoped through a conversation with the sales team.

How do you use Baseten?

  1. 1Create a Baseten account
    Sign up through the Baseten app to get access to the workspace where deployments and API keys live.
  2. 2Pick an image model from the library
    Compare options such as Flux Schnell, Flux Dev and SDXL Lightning to balance output quality against latency and cost for your use case.
  3. 3Deploy the model to an endpoint
    Deploy the chosen model from the workspace. The deployed endpoint is what your application will call at request time.
  4. 4Call the endpoint from your application
    Authenticate with your API key and send prompts to the endpoint, then handle the returned images in your product.
  5. 5Chain image generation into a larger pipeline
    Follow the chain getting started guide to combine image generation with other model steps in a single deployed workflow.
  6. 6Scale and tune for production
    Monitor traffic and adjust deployment configuration as usage grows, or contact the team to scope volume and cost.

Pros and cons

Pros

  • Access to a curated library of capable open image models, including Flux variants and SDXL Lightning, with benchmark context on the siteAI
  • Built for production traffic: the page emphasizes real time generation and scaling, not just demo outputAI
  • API centric workflow fits teams embedding image generation into their own productsAI
  • Documentation covers chaining, so image calls can be combined with other model steps in one pipelineAI
  • Custom model deployment is available for teams with their own trained weightsAI

Cons

  • No published pricing on the image generation page, so budgeting requires a sales conversationAI
  • Not a consumer creative tool: there is no prompt playground for casual image makingAI
  • Requires engineering effort to deploy, call and monitor endpoints compared with plug and play image APIsAI
  • Value depends on open models, so teams wanting a specific proprietary model will look elsewhereAI
  • Cost and performance tuning are the user's responsibility, which rewards teams with ML operations experienceAI

How much does Baseten cost?

Support

The site offers a direct line to engineers through a talk to us form, alongside product documentation covering deployment and chaining.

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Features

Hosted inference for open image generation models including Flux Schnell, Flux Dev and SDXL Lightning, with a text to image library, real time serving at scale, custom model deployment and chaining support documented for building multi step pipelines.

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Frequently asked questions about Baseten

  • Does Baseten have an API?
    Yes, Baseten offers an API.
  • How do you use Baseten?
    The walkthrough on this page covers 6 steps: 1. Create a Baseten account 2. Pick an image model from the library 3. Deploy the model to an endpoint 4. Call the endpoint from your application 5. Chain image generation into a larger pipeline 6. Scale and tune for production.
  • What platforms does Baseten support?
    Baseten is available on Web App.
  • What are the limitations of Baseten?
    No published pricing on the image generation page, so budgeting requires a sales conversation. Not a consumer creative tool: there is no prompt playground for casual image making. Requires engineering effort to deploy, call and monitor endpoints compared with plug and play image APIs.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

PaidFreemium