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Krea 2 [w4a8]

Updated: Aug 10, 2026

base model

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int4 SafeTensor

krea2_turbo_asymw4a8int8_mixed.safetensors

4-bit integer, smallest • 8.25 GB

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Type
Checkpoint Trained
Stats

276

Reviews
Published

Aug 8, 2026

Base Model

Krea 2

Hash
AutoV2
971CA42A85

License:

out-_00783_.webp

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.


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 M and XL suffixes in GGUF)

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.