---
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
---
Bunny Mint (XL2-V3-NS)
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.
---
---
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__: 40 (min 8, low 17)
- __CFG__: 4.5-7 (optimal 5.5)
- __Resolution__: 768x1192, 832x1216
- __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!