The Asset Library
Every file you upload or generate is kept in one library — searchable, filterable by type, tagged by project and category, and reusable across workflows without re-uploading.
Everything you upload to PixelFlow, and everything your workflows generate, lands in a single library attached to your account. It is the answer to re-uploading the same product shot into four workflows, and to losing a good generation because it only ever existed in a node's output panel.
The library is shared across surfaces — an asset saved from a workflow is available on the model playground too, and the other way round.
Opening it
In the editor sidebar, switch from Build to Assets. The panel shows a drop zone, a count of what you have, and a thumbnail grid. Open asset library expands it to the full-screen view, which is where searching, filtering and tagging happen.
Screenshot coming soon
The full-screen library — filter on the left, grid in the middle, details on the right
/images/pixelflow/guides/asset-library.webp
What lands in it
- Uploads. Drop files onto Upload to your library, in the sidebar or in the full-screen view. It takes images, video, audio, PDF and text.
- Generations. Save a node's output into the library so it survives the run that made it.
Files you attach directly to a File input node are stored the same way, so anything you have uploaded to a workflow is already here.
Finding something
Three controls narrow the grid, and they combine:
| Control | What it does |
|---|---|
| Search | Matches on the title and description you have given an asset |
| Type | Filters to images, video, audio or documents |
| Filter by tag | Filters by the tags you have applied — the list stays empty until you tag something |
Tagging
Select any thumbnail and the right-hand pane opens its details. Beyond the preview — with arrows to step through the library and a position counter — you get:
- Title — a name you will recognise later, instead of Untitled asset.
- Description — what the asset actually is.
- Tags, under two facets: Project and Category. Each is a searchable picker that creates the tag if it does not exist yet, so a vocabulary builds as you go rather than needing to be planned.
Edits save automatically.
Screenshot coming soon
Title, description and two tag facets — project and category
/images/pixelflow/guides/asset-library-tags.webp
Using an asset in a workflow
Add to canvas on a selected asset drops it into the graph as an input, wired and ready to connect. In the grid, hovering a thumbnail gives you the same thing in one click.
Video coming soon
Opening the library, filtering by type, and dropping an asset onto the canvas
https://segmind-resources.s3.amazonaws.com/docs/pixelflow/guides/asset-library.mp4
Letting an LLM node pick for itself
Model nodes that take a file can reference the library directly. An LLM node carries an Include asset library toggle: turn it on and the node can choose among your assets rather than being handed one specific file.
This is what the Description field is for. It is the text shared with the model when that toggle is on — the field placeholder says as much — so a description like "packshot, charcoal mug, white seamless background" is what makes an asset findable by the model. An untitled, undescribed asset is effectively invisible to it.
Assets are scoped to the workspace you are in. Switch workspaces at the bottom left and you get that workspace's library — a team's assets do not appear in your Personal account, and the reverse. See Teams.
Uploading from the API instead
The library has an API-side counterpart. Segmind Storage uploads a file and returns a URL you can pass to any model, which is the path to use when the file is coming from your own system rather than your desktop.
Next steps
Fan-Out and Parallel Runs
Run a model once per item with fan-out edges in PixelFlow, then gather results with collect — visual map/reduce for AI: batch images, compare models, scale prompts.
AI Assistant
PixelFlow's in-editor AI assistant is in beta and not yet answering questions. The per-node Refine with AI tools work today.