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SAW Style

1

Updated: Oct 5, 2026

stylehorrorscarybloodbillypig

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bf16 SafeTensor

saw_style2.safetensors

BF16, good balance • 112.01 MB

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Type
LoRA
Stats

190

1

Generation

Loaded

Reviews
Published

Oct 5, 2026

Base Model

Krea 2

Hash
AutoV2
343BE7C613
Trigger Words
rusted
chains
blade
pistol
syringe
needle
knife
rifle
Trg_saw style
blood, saw
+18 more
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Followers - 273

273

Likes - 1272

1.3K

Bronze Krea 2 Badge
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WARNIING FOR STRONG PICTURES!!!

V 2.0: Still struggle with some captions as you can see on the promos..the style feels about right anyway..but the dataset is now complete. I will get back to give you more example promts.

A brand new, highly specialized AI style model (LoRA) capturing the iconic, gritty visual aesthetic of the Saw horror franchise has successfully completed its initial training phase. Utilizing advanced vision-language models for ultra-detailed image captioning and a custom dataset of film screencaps, the model effectively replicates the signature grimy green/yellow color grading, industrial rust, and complex mechanical trap aesthetics that defined the classic horror movement.

Please note that this is an early, non-final work-in-progress version. The project is currently in a closed beta state. Initial test checkpoints showcase incredible promise in capturing complex industrial textures and cinematic special effects (SFX) lighting without sacrificing flexibility. Development is ongoing, and the dataset will be further expanded and refined in future training runs to perfect the model's overall accuracy and stability.

In the final version of all our favorites deathtraps will be tagged properly.

Trigger: trg_saw

Word that might be useful:

basement, blood, chains, mechanical, rusted, trap, wound, wounds, basement, blade, blades, chain, chained, face, knife, mechanical, needle, pistol, rifle, rust, rusty, syringe, syringes, trap, weapon, basement, blade, chained, collar, device, devices, face, mechanisms, pistol,, traps, mask, masks,

bleeding, cut, running, scream, screaming, torture

agony, bleeding, cut, dread, fear, pain, running, scream, screaming, suffering, terrified, torture, monitor, bathroom, bodies, bruised, claustrophobic, beartrap, intricate machinery,

V 2.0: Still struggle with some captions..but the dataset is now complete. I will get back to give you more example promts.