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Listen "32-bit Float Support - Part 1 - Media Management & Batch - Flame 2018"
Episode Synopsis
With the release of Flame 2018, we have started to introduce 32-bit Float support throughout the Flame products.
The main reason for this is to provide a 32-bit float processing pipeline which includes support for 32-bit data passes.
So this allows you import 32-bit OpenEXRs which can be cached as well as processed at 32-bit through specific nodes.
And finally, as you output and archive, you can also retain the full 32-bit float quality.
This ultimately improves image precision and processing using various high quality media.
Please check the Flame documentation for the list of 32-bit capable nodes currently available.
The main reason for this is to provide a 32-bit float processing pipeline which includes support for 32-bit data passes.
So this allows you import 32-bit OpenEXRs which can be cached as well as processed at 32-bit through specific nodes.
And finally, as you output and archive, you can also retain the full 32-bit float quality.
This ultimately improves image precision and processing using various high quality media.
Please check the Flame documentation for the list of 32-bit capable nodes currently available.
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