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ModdiAdam/Wild_Krea-2-turbo_NSFW

sourceHugging Faceotherupdated 1mo agoView on Hugging Face

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Wild Krea-2 Turbo NSFW

Wild Krea-2 Turbo NSFW is a Krea-2 Turbo based model focused on high-quality image generation with enhanced support for mature and NSFW-oriented prompts.

GGUF Models

Choose the version that best fits your available VRAM/RAM:

Model	Size
Wild_Krea-2-turbo_NSFW-Q8_0.gguf	13.6 GB
Wild_Krea-2-turbo_NSFW-Q4_1.gguf	8.02 GB

Recommended Components

For optimal NSFW results, use the following VAE and text encoder:

VAE

qwen_image_vae.safetensors

Download VAE

Text Encoder

qwen3vl_4b_fp8_scaled.safetensors

Download Text Encoder

These components are available from the Comfy-Org/Krea-2 repository.

ComfyUI

For ComfyUI, use a compatible GGUF loader and place the files in the appropriate model directories.

A typical setup:

text

ComfyUI/
└── models/
    ├── diffusion_models/
    │   └── Wild_Krea-2-turbo_NSFW-*.gguf
    ├── vae/
    │   └── qwen_image_vae.safetensors
    └── text_encoders/
        └── qwen3vl_4b_fp8_scaled.safetensors

The exact GGUF directory may vary depending on the loader or workflow you are using.

Recommended Setup

For the best results:

—Model: Wild_Krea-2-turbo_NSFW-Q8_0.gguf
—VAE: qwen_image_vae.safetensors
—Text Encoder: qwen3vl_4b_fp8_scaled.safetensors

If you have limited memory, use the Q4_1 version instead.

Evaluation Results

The model has been tested qualitatively for NSFW prompt adherence and image quality. Standard metrics (FID, CLIP-Score) are expected to be in line with the base Krea-2 model, with potential variations due to the fine-tuning and quantization process. Further quantitative evaluation will be added in future updates.

Credits

—Original Krea-2: Krea
—Krea-2 components: Comfy-Org/Krea-2
—Wild Krea-2 Turbo NSFW: ModdiAdam

Disclaimer

This model is intended for mature audiences and may generate adult-oriented content.

Do not use this model to generate illegal content, non-consensual intimate imagery, or sexual content involving minors.

Additional Information

—Language: English
—Pipeline Tag: Text-to-Image
—Library: Diffusers (supported via GGUF loaders)
—Quantization: Q80 and Q41
—License: Please see the license file for full terms of use.
—Gate: By downloading and using this model, you agree to the terms outlined in the license and this README.