If you like my content consider supporting me! 😊
1 Cookie = Early access to future releases! 🍪❤️
Locon trained on the style of Otohime for Pony Diffusion v6 XL based models.
Requested by a supporter! 🍪❤️
Pony version
There is no need for trigger words and weight 1.0.
Tag otohimestyle is optional.
SD 1.5 version
There is no need for trigger words and weight 1.0.
Tag otohimestyle is optional.
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
Otohime 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:
Initial release. 300 images and 27000 steps.
📋 Training Parameters:
Base Model: Pony Diffusion V6 XL
Training Resolution: 1024
Training Batch Size: 1
Type: LoCon
DIM / Alpha: 32 / 16
Conv Dim / Alpha: 24 / 6
Train On: Unet + TE
Optimizer: AdamW8bit
Scheduler: Cosine w/ restarts
Bucket Resolution: 512 - 2048
Bucket Steps: 64
Image Count: 300
Epochs: 9
Repeats: 10
FAQ
Comments (2)
Not only is this a great lora, but I just wanted to say thank you for included the training parameters in the description so I don't have to manually fire up a program to throw the lora into it and inspect the metadata.
Thanks! 😊
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.