burkaygur
Joined 14 years ago
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Nov 16
Joined 14 years ago
what we did at fal is take the model and run it on our inference engine optimized to run these kinds of models really really fast. feel free to give it a shot on the playgrounds. https://fal.ai/models/fal-ai/flux/dev
https://featuresandlabels.notion.site/Join-us-at-fal-cf36c13...
It is very simple to use, but also very feature rich. For example, you can run each dbt model in an isolated Python environment and avoid dependency hell. We use isolate, an open source library we built to do that: https://github.com/fal-ai/isolate