AI Hub by Picsart connects applications to generative image, video, text and audio models through a shared creative API workflow.
AI Hub by Picsart
Explore features, practical uses and pricing below.
AI Hub by Picsart gives developers access to generative image, video, text and audio models through Picsart Creative APIs. It is aimed at teams integrating generation into an application or business workflow. The product page describes a common API request pattern for comparing providers and selecting models, alongside Picsart's broader image and video editing services.
AI Hub uses model identifiers called AIR URNs to choose a provider and version. This gives a team a concrete configuration to record when comparing outputs or preparing a release. Its catalog can be explored by task and provider, while project and application controls separate evaluation, staging and production work.
The Text2Image reference documents a model parameter and warns that an unspecified default can change over time. Setting a model explicitly is therefore part of making an integration deliberate. It identifies what was requested; it should not be treated as a guarantee that every generation will produce identical content.
The documented image-generation process accepts a text prompt and parameters for desired dimensions and image count. An API key authorizes the request. Generation returns an identifier that your application uses to retrieve the result through the result endpoint. This requires a working process for pending jobs, retrieval and failed requests rather than assuming an immediate image response.
Requested dimensions are also subject to the selected provider's supported aspect ratios. The reference says the actual output dimensions follow the closest supported ratio. Check the returned asset before placing it in a fixed layout, and avoid presenting a requested size as an assured result.
A team building a product-mockup application could start with a small set of permitted prompts and source requirements. Compare two suitable image models using those same briefs, noting the selected URN and the output needed by the interface. Keep the useful results and record where either model misses a requirement. After choosing a model, connect generation and result retrieval to a status display, then review how the finished image fits the mockup.
If the product also needs background removal or other editing, evaluate the relevant Picsart Creative API separately. The same platform offers those services, but the model-generation request and each editing step still need their own correct inputs and result handling. This is a developer integration workflow, distinct from making a design manually in the consumer Picsart editor.
AI Hub describes usage-based pricing and evaluation credits for eligible accounts. Review the current model costs and account terms in the official console; complimentary evaluation access is not an unlimited free production plan. Estimate cost around the models, output sizes and repeated attempts your application actually uses.
The API reference includes rate-limit, authorization, payment and provider-overload responses. Build a clear failure path for those cases. Model choice also changes supported inputs and generated results, so compare the exact task your users will perform rather than assuming all models behind the shared API are interchangeable.