
FLORA Weekly
No. 060,
Elements, @ Mentions, & More
This release introduces Elements — reusable visual references that live right on your canvas — alongside @ mentions for wiring nodes together, a searchable model menu, full generation history on your dashboard, and major upgrades to batch workflows.
📦 New
Elements
Reusable visual references (characters, styles, color palettes) that live as nodes on your canvas.
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Create them from a right-click or from any selection of existing generations, then pull them into any prompt by typing
#. A picker appears, the element's images are automatically fed as input, and the system warns you if you exceed a model's max input count. Learn more about Elements and model compatibility here.@ Mentions
Reference any canvas node directly from a prompt field.
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Within any prompt field, type
@to open a picker of compatible nodes (connected ones grouped at the top), select one, and a graph edge is created automatically — feeding that node's output into your generation. Works alongside#for elements, giving you two fast ways to wire context into prompts.Add Node Menu — Model Search
Find and add any model instantly.
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The Add Node menu now includes a search bar across every available model, grouped by provider with submenu expansion. Type to filter, set a quantity for bulk-adding, and models are automatically filtered by compatibility with your current connections.
Dashboard — Generation History
Browse every generation you've ever made.
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A new masonry-grid page on the dashboard shows all past generations across every project with infinite scroll and export options — perfect for revisiting earlier work or pulling assets into new projects.
🧠 Improved
Batch Node — click-to-select sync
Clicking a collection item in a batch node now auto-highlights the matching generation in downstream blocks, making it easy to trace results through complex workflows.
Batch Node — downstream workflows
Connect a batch node to a full multi-step workflow and run everything end-to-end.
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Each item flows through all downstream blocks automatically, unlocking true pipeline-style batch processing.








