Know your gear
Flare is a fully compatible assistant to Flame, featuring the entire creative toolset in Batch. All Batch nodes found in Flame are fully supported in Flare. You can extend the capabilities of Flame by performing any Batch task on a Flare system. You can also offload time-consuming tasks such as rotoscoping and particle creation to Flare.
You can use Flare in an independent system workflow or in a remote connection workflow. In a remote connection workflow, the same storage is used by both Flare and Flame so there is no duplication of media. Multiple Flare systems can connect to the same Flame system. Each can be used to work on the same project at the same time, speeding up the production pipeline workflow. You can even perform project management tasks of Flare folders without leaving the Flame station.
If being able to work on projects collaboratively with Flame is not your main objective, you can still take advantage of the assistant capabilities of Flare in an independent system workflow. There will be duplication of media since you need Wire to transfer media to/from a Flare system. However, there are fewer workflow considerations than in a collaborative environment since Flare work is done on its own storage volume.
You can use Flare in an independent system workflow or in a remote connection workflow. In a remote connection workflow, the same storage is used by both Flare and Flame so there is no duplication of media. Multiple Flare systems can connect to the same Flame system. Each can be used to work on the same project at the same time, speeding up the production pipeline workflow. You can even perform project management tasks of Flare folders without leaving the Flame station.
If being able to work on projects collaboratively with Flame is not your main objective, you can still take advantage of the assistant capabilities of Flare in an independent system workflow. There will be duplication of media since you need Wire to transfer media to/from a Flare system. However, there are fewer workflow considerations than in a collaborative environment since Flare work is done on its own storage volume.