Raz's SceneSmith
Sam-C.
Sam-C.
Z-Image Turbo LoRA
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Uploaded Jan 22, 2026
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Used 1.8K times
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Description

( Not my Model )

https://civitai.com/models/1714609?modelVersionId=2618747

About this version

***DON'T USE AT FULL STRENGTH***

0.20 TO 0.50 = SAFE ZONE

New (bigger, broader) dataset, can now handle humans normally.

πŸ”§ Recommended Settings

Sampler/Scheduler: Euler / Beta
Steps: 9-12
AuraFlow 3 to 7

LoRA Strength:
0.20 – 0.30 β†’ subtle polish
0.40 – 0.70 β†’ detail & tone boost (Personal favorite : 0.50)
0.70 + β†’ not really good, grainy textures and i don't like it

πŸ“˜ Raz’s SceneSmith – Scene-Enhancing Environment LoRA

πŸŒ„ Crafted to ground, sharpen, and enrich everything that isn’t a human.

Originally designed as a general-purpose detailer, Raz’s SceneSmith evolved into something slightly different β€” and that’s not a bad thing. It may not go toe-to-toe with hyper-sharpening LoRAs out there, but what it does, it does with confidence:

  • 🌿 Makes nature sceneries lush, full, and grounded

  • πŸ™οΈ Sharpens cityscapes and textures with crisp realism

  • 🎨 Boosts color vibrancy and clarity of visual structure

  • πŸ” Injects subtle new elements into compositions, enhancing realism or environmental density

  • πŸ’§ Makes water, stone, sky, and terrain feel more tactile

It’s not a human detailer β€” and that’s intentional. The dataset focused on nature, urban environments, high-res textures , and scenic photography. Only a handful of images featured humans.


✍️ Prompt Hints & Tips

Use it in prompts where background matters. Where composition could use polish. Where realism could use a boost:

sharp scenery , lush background , ultra-detailed environment , natural textures ,
vibrant lighting , clean architectural lines , crisp clouds ,
realistic water surface , vivid skies , photo-real terrain


🎨 What It Enhances Best

πŸ”οΈ Mountains, valleys, rivers
🌊 Coastal edges, lakes, rain scenes
πŸŒ† Streetscapes, alleyways, windows, rooftops
🌌 Skies: layered clouds, sunsets, dramatic atmosphere
🌿 Textures: rocks, bark, brick, pavement, foliage, water


βš™οΈ Training Notes

Trained on a carefully balanced dataset of:
β€’ Natural backdrops
β€’ High-resolution landscape and architectural photos
β€’ Textures, skies, lighting gradients, and urban compositions

Very few human subjects β€” not designed to enhance skin, face, or anatomy.

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