Generate Text
AI-generatedSummary
Generate text synchronously or asynchronously using a selected Runpod Public Endpoint model and a JSON input formatted according to the model's specifications.
Inputs
- Model (required) — Select a Runpod Public Endpoint text generation model from a dynamic list that updates based on available models.
- Input JSON (required) — Provide a JSON string specifying the input parameters formatted according to the selected model's requirements, e.g., messages and sampling parameters for chat models.
- Download Output as Binary — Optionally fetch output files (e.g., images or audio) linked by URL and attach the content as binary data in the workflow output.
Output shape
a list of JSON objects, each containing the API response merged with the model ID and optionally a downloadUrl property if download is enabled.
If download is enabled, the node adds a downloadUrl field with the URL of image, audio, or file output. Actual binary download is noted as TODO. Supports processing multiple input items individually.
Examples
Example 1: Generate text response using the Granite or Qwen3 chat model.
Set operation to 'Generate Text', choose a text generation model, and provide the input JSON with conversation messages and sampling parameters based on the Runpod documentation.