Krea-2-Base-Turbo-NVFP4-FP8-INT8

Krea 2 Base & Turbo — NVFP4 / FP8 / MXFP8 / INT8 / ConvRot INT8

Quantized versions of Krea 2 Base and Krea 2 Turbo, converted using silveroxides/convert_to_quant (ctq CLI) with ComfyUI-compatible metadata.

Which Model Should I Use?

Train on Raw, run on Turbo. LoRAs trained on the Raw base model transfer well to Turbo for inference. Raw is the undistilled base checkpoint — diverse, malleable, ideal for LoRA training and fine-tuning. Turbo is an 8-step distilled checkpoint built for fast, high-quality generation at 1k–2k resolution.

Important ComfyUI Update: INT8 Full Support

INT8 Native Support - very fast, works on any RTX 30xx, 40xx or 50xx graphics card ComfyUI supports the INT8 models via the "Diffusion Model loader" and the "Load Clip" text encoder nodes. Thus far, they only support regular INT8 models, not convrot INT8.

Recommended Inference Settings

Turbo — fast inference, high quality:

• Steps: 8
• CFG: 0.0 (disabled)
• Mu: 1.15
• Resolution: 1024–2048px

Raw — undistilled base model:

• Steps: 52
• CFG: 3.5
• Resolution: up to 1024px

Text Encoder

Krea 2 requires the Qwen3-VL 4B text encoder. Load it in ComfyUI's CLIPLoader with type set to krea2.

Download: qwen3vl_4b_fp8_scaled.safetensors

VAE

Krea 2 uses the same VAE as Anima:

Download: qwen_image_vae.safetensors

Available Formats

File	Format	Notes
krea2_base_fp8.safetensors	FP8 Tensorwise	Recommended for RTX 40xx
krea2_base_mxfp8.safetensors	MXFP8	Recommended for RTX 50xx Blackwell
krea2_base_nvfp4.safetensors	NVFP4	RTX 50xx Blackwell only
krea2_base_int8.safetensors	INT8 Row-wise	Recommended for RTX 30xx
krea2_base_convrot_int8.safetensors	INT8 + ConvRot	Best quality INT8, RTX 30xx
krea2_turbo_fp8.safetensors	FP8 Tensorwise	Recommended for RTX 40xx
krea2_turbo_mxfp8.safetensors	MXFP8	Recommended for RTX 50xx Blackwell
krea2_turbo_nvfp4.safetensors	NVFP4	RTX 50xx Blackwell only
krea2_turbo_int8.safetensors	INT8 Row-wise	Recommended for RTX 30xx
krea2_turbo_convrot_int8.safetensors	INT8 + ConvRot	Best quality INT8, RTX 30xx

Which Format Should I Use?

• RTX 30xx → INT8 ConvRot for best quality, INT8 for fastest
• RTX 40xx → FP8
• RTX 50xx Blackwell → NVFP4, MXFP8, or FP8, your choice

Conversion Details

All variants converted with:

• --simple (round-to-nearest, no learned rounding)
• --comfy_quant (ComfyUI-compatible layer names and metadata)
• --save-quant-metadata (quantization info embedded in file)
• --low-memory (reduced peak RAM usage during conversion)
• --flux2 profile

ConvRot variants additionally use Hadamard rotation (--convrot) prior to quantization to reduce outliers and improve accuracy.

Usage in ComfyUI

Load via the standard diffusion model loader node. Requires a ComfyUI build with comfy_quant support. Recommended nodes: Bob Johnson's Nodes

Model Storage Location

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 text_encoders/
│   │   └── qwen3vl_3b_INT8.safetensors
│   ├── 📂 vae/
│   │   └── wan21_vae.safetensors
│   └── 📂 diffusion_models/
│       └── krea2_turbo_int8.safetensors

Community & Support

Note: Please update ComfyUI first (guide) and make sure the required custom node above is installed.

💬 Join my Discord community: discord.gg/CJv5wceJaN

☕ Help buy me a coffee on Ko-fi: ko-fi.com/winnougan

Original Model

Krea 2 is developed by Krea.ai.
Original model: krea-community/krea-2

License

These quantized weights are derived from Krea 2 and are subject to the Krea 2 Community License Agreement (v.1, June 22, 2026).

Key terms:

• Free for personal and commercial use under $1M USD annual revenue
• Over $1M annual revenue requires an Enterprise License from Krea
• Derivatives (including these quantizations) must be distributed under the same license with attribution
• You must include "Krea" at the beginning of any derivative model name
• Content filtering required for deployed applications

Full license text: krea.ai/krea-2-licensing

Attribution: Krea 2 is licensed under the Krea 2 Community License Agreement.

Quantized by

Winnougan
ComfyUI node developer & AI content creator.
Ko-fi: ko-fi.com/winnougan
YouTube: youtube.com/@Winnougan