Experimenting with AI Lat/Long Image Generation & Upscaling Workflows | Griptape | Foundry @FoundryTeam
Experimenting with AI Lat/Long Image Generation & Upscaling Workflows | Griptape | Foundry  @FoundryTeam
Uploaded May 2026 | Updated September 2026, 14 hours ago
Join us as we experiment with generating massive, high-resolution Lat/Long images using Griptape Nodes. In this R&D test, we're exploring a workflow that starts with the Google Earth node to capture a specific location using its latitude and longitude. Next, we test out creating precise text prompts using an agentic flow to accurately describe our captured image.

We're currently experimenting with two main approaches for the generation phase: testing open-source models like the Flux Pipeline combined with a custom LoRa, and trying out powerful proxy cloud models like Nano Banana to see how well they regenerate our scene into a seamless Lat/Long format.

Finally, we push the boundaries of standard upscaling limits. By testing the Image Tile Splitter and Image Tile Merger alongside SeedVR, we're seeing if we can composite tiles back together to achieve massive 32K or even 64K resolutions.

00:00 - Introduction
00:15 - Google Earth Node
00:40 - Agentic Flow Text Prompts
00:57 - Open-Source Workflow
01:43 - Proxy Model Workflow
02:34 - Resolution & Upscaling
03:13 - Image Tile Splitter & Merger
03:49 - 64K Render Result

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⚙️ How to Install Additional Node Libraries: youtube.com/watch?v=29gJpg4LFN8
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Experimenting with AI Lat/Long Image Generation & Upscaling Workflows | Griptape | Foundry

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