Converted from https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models

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

Quantized qwen3vl text encoder: link (https://civitai.red/models/2760440).

Why file size is larger than others?

This quantized ckpt uses mixed precision. Instead of quantizing the entire model to targeted format. This ckpt keeps important layers in high precision for better quality. (Similar to GGUF M and XL suffixes)

Precision of txtfusion layers?

All txtfusion layers are in high precision. You don't needs to worry the precision when applying "Refusal-Reduction" LoRA (or whatever new LoRAs that try to nuke the txtfusion layers and the safety filter).

Scaled fp8 and nvfp4 are deprecated.

Use int8convrot or w4a8 instead. Faster, higher precision.