fp8 quantized Newbie-image for ComfyUI. And Gemma 3 4b.

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. Newbie doesn't not support fp16, and you will get deformed image.

Versions:

Exp0.1 EP7:

Scaled fp8 + Mixed precision.

Exp0.1 base tcfp8:

Scaled fp8 + Mixed precision + Hardware (tensor core) fp8 support

Exp0.1 base:

Scaled fp8 + Mixed precision.

Gemma 3 4b:

Scaled fp8 + Mixed precision.

Note:

Where is Jina clip v2 ?

Jina clip v2 is very small (~1gb), seems not necessary.

Hardware (tensor core) fp8 support:

TLDR: The file contains calibration metadata. On supported GPU with hw fp8, ComfyUI will automatically do calculations in FP8, instead of dequantizing then BF16.

torch.compile is recommended, if you can get it up and running. Might be 80% faster.

More info about tcfp8: https://civarchive.com/models/2172944

If your GPU does not support fp8, then this version is the same as the normal one, because weights are the same.