Briefing

Comfyui‑Mesh Adds LTX 2.3 Support with Vram Fixes and Multigpu Splitting

ai-dev
by /u/shootthesound ·

Upgrade Comfyui‑Mesh to the latest commit, set the codec to Nvenc 5090 for 50XX GPUs, and test memory usage on your models.

What to do now

Pull the latest Comfyui‑Mesh branch, configure the codec dropdown to Nvenc 5090 if using a 50XX GPU, and run a memory‑profiled test on your LTX models.

Summary

Comfyui‑Mesh now supports LTX 2.3 dev and distilled models, enabling users to split models across Ethernet or multigpu machines using the Nvenc codec. The update includes major vram fixes that release memory blocks on the client, addressing previous memory leaks. The codec dropdown now offers Nvenc 5090 for 50XX series GPUs, and Nvenc or Raw modes for 40/30 series GPUs, providing flexibility based on hardware. The node pack is aimed at users who cannot run a given model, rather than improving performance for those who can. The release also clarifies that large Loras should be loaded in the server app to avoid unnecessary node traffic.

Users should update to the latest Comfyui‑Mesh commit, select the appropriate codec for their GPU series, and test memory usage with LTX 2.3 models. The changes improve stability and expand compatibility for low‑resource users.

The update is a major release for the existing Comfyui‑Mesh tool and introduces breaking changes that require migration.

Key changes

  • LTX 2.3 dev and distilled support
  • vram fixes for memory release
  • codec dropdown options
  • Nvenc 5090 for 50XX series
  • Nvenc/Raw for 40/30 series
  • node pack targets low‑resource users
  • clarifies Lora loading in server app

Affects

internal

Source angles · 2 perspectives

Black Forest Labs (Reddit)
Independent angle

LTX 2.3 is now supported in Comfyui-Mesh for splitting models across Ethernet or multigpu machines with Nvenc codec. Major vram fixes included for flux2/LTX model implementations in the node.

Open
r/StableDiffusion
Independent angle

Comfyui‑Mesh Adds LTX 2.3 Support with Vram Fixes and Multigpu Splitting

Open

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