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FinalCut (Pony)

Updated: Aug 13, 2025

base modelsdxlrealisticpony4kfp32

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fp32 SafeTensor

FinalCutFP32V11.safetensors

Full precision, largest file • 12.92 GB

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Type
Checkpoint Trained
Stats

1,245

Generation License Fee

1 / 10 images

Reviews
Published

Jul 3, 2025

Base Model

Pony

Training
Steps: 60,000
Epochs: 100
Hash
AutoV2
41F000AB26
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Reactions - 65313

65.3K

Downloads - 608947

608.9K

Generations - 4948560

4.9M

SDXL Training Contest Participant
ComfyUI_00114_.png

Pony FinalCut

Note this model is intended to be run at far higher resolutions then currently offered onsite. Consider petitioning @theally or @chipshajen or @Cosmic_Crafter (Or @Justin if your feeling lucky) to add support for such - Maybe they could "steal" from TensorArt for once.

Or maybe ask they didn't make high rez images look like garbage without clicking them three times. The perfectly sharp and single pixel hair at 3k has been thousands of hours of work.

  • Forge/Auto1111: set COMMANDLINE_ARGS= --unet-in-bf16 --vae-in-fp32 --clip-in-fp32 --cuda-malloc

  • Comfy: cmd /k python main.py --fp32-text-enc --fp32-vae --bf16-unet --use-flash-attention

This model took over 120KwH of energy to train. Not including the 50KwH used to train the CLIP models.


Note: Auto1111/Forge has an issue with stored BF16 VAE in V1.1 BF16 if not using the FP32 VAE command