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realrebelai/KREA-2_GGUFs overview

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comfyuiggufkrea-2base_model:krea/Krea-2-Turbobase_model:quantized:krea/Krea-2-Turbolicense:otherregion:us

Runs locally from ~2.78 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
42,529
Likes
45
Pipeline

Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
BASE/Krea-2-Base-Q3_K_M.ggufGGUFQ3_K_M5.17 GBDownload
BASE/Krea-2-Base-Q3_K_S.ggufGGUFQ3_K_S2.78 GBDownload
BASE/Krea-2-Base-Q4_K_M.ggufGGUFQ4_K_M6.76 GBDownload
BASE/Krea-2-Base-Q4_K_S.ggufGGUFQ4_K_S6.76 GBDownload
BASE/Krea-2-Base-Q5_K_M.ggufGGUFQ5_K_M8.26 GBDownload
BASE/Krea-2-Base-Q5_K_S.ggufGGUFQ5_K_S8.26 GBDownload
BASE/Krea-2-Base-Q6_K.ggufGGUFQ6_K9.86 GBDownload
BASE/Krea-2-Base-Q8_0.ggufGGUFQ8_012.76 GBDownload
TURBO/Krea-2-Turbo-Q3_K_M.ggufGGUFQ3_K_M5.14 GBDownload
TURBO/Krea-2-Turbo-Q3_K_S.ggufGGUFQ3_K_S5.14 GBDownload
TURBO/Krea-2-Turbo-Q4_K_M.ggufGGUFQ4_K_M6.72 GBDownload
TURBO/Krea-2-Turbo-Q5_K_S.ggufGGUFQ5_K_S8.21 GBDownload
TURBO/Krea-2-Turbo-Q6_K.ggufGGUFQ6_K9.80 GBDownload
TURBO/Krea-2-Turbo-Q8_0.ggufGGUFQ8_012.69 GBDownload

Model Details

Model IDrealrebelai/KREA-2_GGUFs
Authorrealrebelai
Pipeline
Licenseother
Base modelkrea/Krea-2-Turbo
Last modified2026-08-05T03:33:52.000Z

Model README

---

license: other

license_name: krea-2-community-license

license_link: LICENSE

library_name: comfyui

base_model:

- krea/Krea-2-Turbo

base_model_relation: quantized

tags:

- comfyui

- gguf

- krea-2

---

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<h3 align="left">Krea 2 GGUF Sample Generations</h3>

<table align="center">

<tr>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/5L4UnkmiYc4fYOQsGc6CP.png" alt="Sample 1" width="400"/></td>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/Fk54nYMWLsi2tR7PHQJPN.png" alt="Sample 2" width="400"/></td>

</tr>

<tr>

<td align="center"><em></em></td>

<td align="center"><em></em></td>

</tr>

<tr>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/Wft1O2vOQhDvC7Jzfxj_l.png" width="400"/></td>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/eDyitcFvxGe1i1yX_cMPJ.png" width="400"/></td>

</tr>

<tr>

<td align="center"><em></em></td>

<td align="center"><em></em></td>

</tr>

</table>

KREA-2 GGUF Weights

Quantized GGUF weights for the Krea-2 Base model, optimized for low-VRAM and consumer hardware local workflows via ComfyUI.

🚀 Overview

Krea-2 is a Diffusion Transformer (DiT). Standard GGUF custom nodes will throw an Unexpected architecture type error natively. To run these weights, you must use our patched custom node fork.

📥 Downloading and Installation

1. Custom Node Requirements (Mandatory)

Standard loaders do not yet recognize krea2 architecture tags in GGUF metadata. Clone the following custom node into your ComfyUI/custom_nodes/ directory:

2. Required Support Models

Place these base model files in your standard ComfyUI models/ directory:

3. GGUF Weight Installation

  1. Download your preferred quantization file (e.g., Krea-2-Base-Q4_K_S.gguf) from the Files and versions tab of this repository.
  2. Place the downloaded .gguf file into your ComfyUI/models/unet/ (or equivalent GGUF directory) folder.
  3. Load the model in ComfyUI using the UnetLoaderGGUF node.

⚙️ Workflow Notes

Ensure your conditioning setup is mapped appropriately to handle the stacked hidden state requirements of multimodal DiTs to avoid latent sequence mismatch errors.

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