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Inference Storage is the shared file workspace consumed by the Playground, Studio workflows, and the Media Library. Folders here are referenced by Studio nodes (for example gmi-studio-input and gmi-studio-output) and survive across runs. URL: https://console.gmicloud.ai/user-console/ie/inference-storage (redirects to /files)

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Quota

A header bar shows usage against your quota, for example 221.42 MB / 10 GB used with a percent indicator.

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Toolbar

  • Filter: type/scope filter (default “All”).
  • Search files: text search across files and folders.
  • New Folder: create a folder at the current path.
  • Upload Files: multi-file upload.

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File listing

Columns: File Name, Type, Size, Updated On. Per-row actions and a select-all checkbox are available. Pagination at the bottom defaults to 10 / page.

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Typical folders for Studio users

  • gmi-studio-input: assets you reference from workflows.
  • gmi-studio-output: generated media written back by workflow runs.

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Reference a file in API requests

Files in Inference Storage are served from a hosted URL, and so are the outputs written to gmi-studio-output. You can pass that URL directly into any endpoint that accepts an image or video input — for example Kling’s image_list, video_list, and element_list (frontal_image / refer_images / refer_videos) fields.
  • Hosted URL — reference a stored file (or a generated output) by its URL.
  • Base64 data URI — inline small files directly in the request.
  • Upload API — upload a file programmatically and get back a public URL to reuse — see Upload API.
For the full list of accepted input methods, see File Handling.

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Next steps

  • Build a workflow that reads from gmi-studio-input: GMI Studio.
  • Run a model that uploads inputs: Playground.