This page contains scaled fp8 quantized DiT models of Neta Lumina for ComfyUI.

• Neta Lumina (NT)

• NetaYume Lumina (NTYM)

And a scaled fp8 quantized Gemma 2 2b (the text encoder).

All credit belongs to the original model author. License is the same as the original model.

Note: Images from bf16 and fp8 models are identical, like this. If image from fp8 model changed drastically, your ComfyUI somehow enabled fp16 mode. Lumina 2 doesn't not support fp16, and you will get deformed image.

Update (11/27/2025): mixed precision and fp8 tensor core support (mptc).

This is a new ComfyUI feature that supports fp8 tensor core, also with scaled fp8 + mixed precision.

In short:

Mixed precision: Keep important layers in BF16.

FP8 tensor core support: On supported GPU, much faster (30~80%) than BF16 and classic FP8 scaled models. Because ComfyUI will do calculations in FP8 directly, instead of dequantizing + BF16. torch.compile is recommended.

More info: https://civarchive.com/models/2172944/z-image-turbo-tensorcorefp8