<a target="_blank" rel="ugc" href="https://www.patreon.com/GtoneroProject">Donate Coffee for Gtonero</a>Main tag : immobilization, Secondary tag : stationary restraints, bound legs, norm retention: 97.56% | std: 0.014 Training Powershell info :<ul><li>Image Train 128</li><li>DIM/Alpha : 12/6</li><li>Train batch size : 2</li><li>resolution : 768</li><li>mix/save_precision = BF16</li><li>optimizer_type = AdamW</li><li>GPU : RTX 4060 16GB 160W [Training Load 110W]</li><li>Torch 2.5 + cu12.1 + Xformers + gradient_checkpointing</li><li>Vram used : 10.1GB</li><li>Speed : 1.62s/it</li></ul>

Immobilization

immobilizationAlpha_2_Illustrious_DIM-12_sv_cumulative_0.75.safetensors

v1.0_[Illustrious]

<a target="_blank" rel="ugc" href="https://www.patreon.com/GtoneroProject">Donate Coffee for Gtonero</a>Main tag : immobilization, Secondary tag : stationary restraints, bound legs,norm retention: 97.56% | std: 0.014 Training Powershell info :<ul><li>Image Train 128</li><li>DIM/Alpha : 12/6</li><li>Train batch size : 2</li><li>resolution : 768</li><li>mix/save_precision = BF16</li><li>optimizer_type = AdamW</li><li>GPU : RTX 4060 16GB 160W [Training Load 110W]</li><li>Torch 2.5 + cu12.1 + Xformers + gradient_checkpointing</li><li>Vram used : 10.1GB</li><li>Speed : 1.62s/it</li></ul>

Donate Coffee for Gtonero

Main tag : immobilization,
Secondary tag : stationary restraints, bound legs,

norm retention: 97.56% | std: 0.014
Training Powershell info :

    Image Train 128

    DIM/Alpha : 12/6

    Train batch size : 2

    resolution : 768

    mix/save_precision = BF16

    optimizer_type = AdamW

    GPU : RTX 4060 16GB 160W [Training Load 110W]

    Torch 2.5 + cu12.1 + Xformers + gradient_checkpointing

    Vram used : 10.1GB

    Speed : 1.62s/it

Original Link: <a target="_blank" rel="noopener noreferrer nofollow" href="https://civitai.com/models/1855223">https://civitai.com/models/1855223</a>Main tag : immobilization, Secondary tag : stationary restraints, bound legs,

Immobilization - concept

Trigger Words
immobilization,
stationary restraints, bound legs,

Files with SHA256: 8c784c1ed66c5168b8385103aac53755bcccc6837e85f44ec948c9756e515e2b