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lylogummy/Mitsuki
Mitsuki is a machine learning model from lylogummy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as creativeml-openrail-m.
<center<summary style="font-size: 2.25em; font-family: Segoe UI"<strong🌌🎨 Mitsuki Alpha v0.33! 🎨🌌</strong</summary</center
Downloads · 30 days
0
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Updated Nov 24, 2023
Repo size
2.8 GB
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2
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.safetensors2.8 GB · 100%
From the Hugging Face model README
Hello, fellow creators! As a passionate AI and art enthusiast, I am thrilled to introduce Mitsuki. Inspired by Aurora One and BunnySpoon, with a fine mix of many weights from different models. Big shoutout to /Project AI/ for the continuous support and collaboration. </strong></summary>
Crafting, refining, and enhancing AI models require both time and resources. Your support is immensely appreciated and will aid in the continuous improvement of Mitsuki. Here's how you can contribute:
<summary style="font-size: 2.25em; font-family: Segoe UI"><strong>⚙️ Optimal Settings</strong></summary> <hr> <h1>| Setting | Recommended Value |
|---|---|
| Steps | 25+ |
| Sampler | Any |
| Additions | Hires |
| Resolution | 896x576/768x512 |
| Model Complexity | High |
| Animation? | Struggles |
For installation and detailed setup instructions: Mitsuki Setup Guide
<hr> </h1> <summary style="font-size: 2.25em; font-family: Segoe UI"><strong>🌌 Sample Creations [TBD] 🌌</strong></summary> <details> <summary style="font-size: 2.25em; font-family: Segoe UI"><strong>Mitsuki Alpha v1.0 Gallery</strong></summary> <h1 style="font-size: 1.5em; text-align: center; font-family: Segoe UI"></h1> <!-- Add the image links here -->

I've mostly used Super Merger to mix and match differences from many models, the goal was to create a model that surpasses bunnyspoon. I will credit all models used here: TBD
Users should exercise caution and respect all applicable laws and regulations while utilizing Mitsuki. The creator holds no responsibility for any misuse or unintended consequences arising from the application of this model.