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---
license: other
license_name: fair-ai-public-license-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- anime
- StableDiffusionXLPipeline
---
<h1 align="center"><strong style="font-size: 48px;">Bunny Mint (XL2-V3-NS)</strong></h1>
The model is a very predictable result. Therefore, I recommend using seed with increasing the number of `steeps` when satisfied with the “draft” with a small number of steps. But predictability and forecasting have a downside: uniformity of results.
---
<style>
.image-viewer {
position: relative;
width: 100%;
margin: 0 auto;
display: flex;
flex-flow: wrap;
align-items: center;
justify-content: center;
}
.image-viewer input[type="radio"] {
display: none;
}
.image-viewer label {
padding: 18px;
background-color: #B398F5;
background-size: cover;
background-position: center;
border: 1px solid #ccc;
cursor: pointer;
color: black;
margin: 9px;
}
.image-viewer label:hover {
background-color: #4C88F5;
padding: 21px;
margin: 6px;
}
.image-viewer input[type="radio"]:checked + label {
background-color: #6296F5;
padding: 27px;
margin: 0px;
}
.image-container {
position: relative;
width: 100%;
height: 50vh;
}
.image-container img {
position: absolute;
top: 0;
left: 0;
height: 100%;
width: 100%;
object-fit: contain;
opacity: 0;
transition: opacity 0.5s ease;
}
#image1:checked ~ .image-container img:nth-child(1),
#image2:checked ~ .image-container img:nth-child(2),
#image3:checked ~ .image-container img:nth-child(3),
#image4:checked ~ .image-container img:nth-child(4),
#image5:checked ~ .image-container img:nth-child(5),
#image6:checked ~ .image-container img:nth-child(6),
#image7:checked ~ .image-container img:nth-child(7),
#image8:checked ~ .image-container img:nth-child(8),
#image9:checked ~ .image-container img:nth-child(9)
{
opacity: 1;
}
#image1l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/1.jpg");
}
#image2l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/2.jpg");
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#image3l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/3.jpg");
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background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/4.jpg");
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#image5l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/5.jpg");
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#image6l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/6.jpg");
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#image7l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/7.jpg");
}
#image8l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/8.jpg");
}
#image9l{
background-image: url("https://huggingface.co/raingart/BunnyMint_XL2-V3-NS-GGUF/resolve/main/output-samples/9.jpg");
}
</style>
<div class="image-viewer">
<input type="radio" id="image1" name="image-switcher" checked>
<label for="image1" id="image1l"></label>
<input type="radio" id="image2" name="image-switcher">
<label for="image2" id="image2l"></label>
<input type="radio" id="image3" name="image-switcher">
<label for="image3" id="image3l"></label>
<input type="radio" id="image4" name="image-switcher" checked>
<label for="image4" id="image4l"></label>
<input type="radio" id="image5" name="image-switcher">
<label for="image5" id="image5l"></label>
<input type="radio" id="image6" name="image-switcher">
<label for="image6" id="image6l"></label>
<input type="radio" id="image7" name="image-switcher" checked>
<label for="image7" id="image7l"></label>
<input type="radio" id="image8" name="image-switcher">
<label for="image8" id="image8l"></label>
<input type="radio" id="image9" name="image-switcher">
<label for="image9" id="image9l"></label>
<div class="image-container">
<img src="output-samples/1.jpg" alt="Image 1">
<img src="output-samples/2.jpg" alt="Image 2">
<img src="output-samples/3.jpg" alt="Image 3">
<img src="output-samples/4.jpg" alt="Image 4">
<img src="output-samples/5.jpg" alt="Image 5">
<img src="output-samples/6.jpg" alt="Image 6">
<img src="output-samples/7.jpg" alt="Image 7">
<img src="output-samples/8.jpg" alt="Image 8">
<img src="output-samples/9.jpg" alt="Image 9">
</div>
</div>
---
BunnyMint is a Pony model based on two finetunes. The first finetune was trained on 8k randomly selected artist images with score:>99 from danbooru for 10 epochs to improve overall aesthetic.
## Optimal Options
- __Sampler__: Euler a
- __Steps__: <span style="color:red">40</span> (min 8, low 17)
- __CFG__: <span style="color:red">4.5-7</span> (optimal 5.5)
- __Resolution__: <span style="color:red">768x1192, 832x1216</span>
- __Hires upscale__: 1.5
## Prompt:
```
score_9, score_8_up, score_7_up, source_anime,
1girl, BREAK
joyful, black skirt, white pantyhose, crop top, double v,inside submarine, legs apart, pleated skirt, jumpsuit,
masterpiece,best quality
```
## Negative prompt:
```
nsfw,censor,extra_fingers,logo,score_4,score_5,score_6,lowres,(bad),text,error,bad hands,fewer,extra,missing,worst quality,jpeg artifacts,low quality,watermark,unfinished,displeasing,oldest,early,chromatic aberration,signature,extra digits,artistic error,username,scan,[abstract]
```
**Since the model is Pony-based, anything Pony related should work here as well.**
### Training
```
(8k random artist images score:>99) * 10 Epochs
(20k NAIv3 dataset) * 20 Epochs
Total steps: ~480k
```
### License
**This model is licensed under "Fair-AI public license 1.0-SD", please refer to the original License for more information: https://freedevproject.org/faipl-1.0-sd/**
### Source
- [civitai](https://civitai.com/models/520972/bunny-mint)
- [huggingface](https://huggingface.co/lylogummy/BunnyMint)
## Donate the model author
[avhut](https://lylogummy.gumroad.com/l/avhut)
### Support
[buymeacoffee](https://buymeacoffee.com/raingart). Thank you for support!