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    Chiwa Style - v1.0 SD1.5
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    Locon trained on the style of Chiwa for Pony Diffusion v6 XL based models.

    Requested by a supporter! 🍪❤️

    Pony version

    There is no need for trigger words and weight 0.8-1.0.

    SD 1.5 version

    There is no need for trigger words and weight 0.9.

    At weights between 0.8~1.0, hires.fix and Adetailer are needed.

    All samples use weight 0.9 and 2x hires.fix.

    Disclamer

    All the models that I have developed and published on this platform are for entertainment purposes only. They are derived from the base Stable Diffusion model, which means it also includes its inherent issues, limitations and unfiltered capabilities. With that in mind, I am in no way responsible for any content that the user creates with malicious intent while using any of these models. The user assumes complete responsibility for the misuse of these tools and any unethical content created with them. This disclaimer is subject to the laws of the United States of America and the state of California. I reserve the right to remove or report any content that violates the terms of service, ethical standards, or applicable laws.

    License conditions

    Chiwa Style for Pony Diffusion v6 XL and Stable Diffusion 1.5 © 2024 by Pettan Koutei is licensed under Attribution-NonCommercial-ShareAlike 4.0 International

    Description

    🔍 Version info:

    SD1.5 version. Trained 64 images for 4480 steps.

    📋 Training Parameters:

    • Base Model: NAI (SD 1.5)

    • Training Resolution: 512,768

    • Training Batch Size: 2

    • Type: Locon

    • DIM / Alpha: 64 / 32

    • Train On: Unet + TE

    • Optimizer: AdamW8bit

    • Bucket Resolution: 256 - 3072

    • Bucket Steps: 64

    • Image Count: 64

    • Epochs: 14

    • Repeats: 10

    FAQ

    LoCon
    SD 1.5

    Details

    Downloads
    144
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/8/2024
    Updated
    5/13/2026
    Deleted
    -

    Files

    monchichiwa_lyco_nai.safetensors

    Mirrors