Haguhagu Style (Pony + SD1.5)

LOCON
Original


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Locon trained on the style of Takamichi for Pony Diffusion v6 XL based models.

All sample images uses a weight of 0.8 and uses no trigger words.

I actually added a trigger word for this one: h4guh4gu, but it is not necessary to use it. For instance, all the sample images don't use it.

This is another one that turned ou pretty good in my opinion! Same training parameters.

If you have any tips or more advanced knowledge for better training with Pony let me know through Chat/DM.

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

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

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Version Detail

Pony
<p>About this version</p><p><strong>🔍 <u>Version info:</u></strong></p><p>Initial release. Trained 70 images for 1600 steps.</p><p><strong>📋 <u>Training Parameters:</u></strong></p><ul><li><p>Base Model: <a target="_blank" rel="ugc" href="https://civitai.com/models/257749?modelVersionId=290640">Pony Diffusion V6 XL</a></p></li><li><p>Training Resolution: 1024</p></li><li><p>Training Batch Size: 1</p></li><li><p>Type: LoCon</p></li><li><p>DIM / Alpha: 8 / 4</p></li><li><p>Conv Dim / Alpha: 24 / 6</p></li><li><p>Train On: Unet + TE</p></li><li><p>Optimizer: Prodigy</p></li><li><p>Min SNR Gamma: 8</p></li><li><p>Bucket Resolution: 512 - 2048</p></li><li><p>Bucket Steps: 64</p></li><li><p>Noise Offset: Normal (0.035)</p></li><li><p>Image Count: 70</p></li><li><p>Steps: 1600</p></li></ul>

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