SatDirty realism krea 2 - v3

SatDirty realism krea 2

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SatDirty realism krea 2 by Alternative_system on Tensor.Art

Most AI image models chase perfection. Dirty Realism Krea2 does the opposite. It embraces the beautiful imperfections that make photographs feel alive. Tiny flaws, natural lighting, realistic textures, imperfect framing, authentic skin, motion blur, sensor noise, and candid compositions all come together to create images that look captured, not generated.

Built on Krea2, this model is designed to produce scenes with genuine atmosphere instead of sterile perfection. Every image feels like it has a story behind it, whether it's a spontaneous street photo, an old smartphone snapshot, a documentary frame, or a cinematic moment frozen in time.

Why you'll love it:

  • Natural, believable realism instead of overprocessed AI aesthetics.

  • Exceptional lighting and texture reproduction.

  • Authentic skin, clothing, and environmental details.

  • Beautiful imperfections that increase photographic credibility.

  • Strong performance for portraits, street photography, documentary, lifestyle, urban scenes, and cinematic compositions.

  • Consistent results while maintaining a raw, organic look.

If you're tired of images that scream "AI-generated," Dirty Realism Krea2 was built for you. It delivers photographs with personality, atmosphere, and the subtle imperfections that convince the eye.

Download it, experiment with it, and discover how realistic AI imagery can become when perfection is no longer the goal.

  • Upscaler: Im using 4x-ClearRealityV1 upscale by 1.5 Steps 5 denois 0.20 Hires CFG 1,

  • Width and height: 896*1152

  • CFG Scale: 1

  • Steps: 8

  • The sampling method i use is Euler-Beta, but you can try a few more, such as ER SDE-SGM Uniform

Version Detail

KREA_2

Project Permissions

Model reprinted from : https://civitai.red/models/2796522/krea2-sat-dirtyrealism?modelVersionId=3152117

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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