---
license: mit
datasets:
- hearmeneigh/e621-rising-v3-curated
- hearmeneigh/e621-rising-v3-finetuner
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anthro
- furry
- e621
- nsfw
- booru
- imagebooru
- imageboard
- gelbooru
- danbooru
- rule34
- not-for-all-audiences
---
NSFW
This model is not suitable for use by minors. The model can and will produce X-rated/NFSW content.
# E621 Rising V3 (SDXL)
* Furry / anthro base model trained with images (mainly) from [E621](https://e621.net)
* Guaranteed **NSFW** or your money back
* Stable Diffusion XL 1.0 model:
* `1024x1024px`
* Trained with 11 epochs of 280,000 images each
* Finetuned with 16 epochs of 40,000 images each
* Compatible with [🤗 `diffusers`](https://huggingface.co/docs/diffusers/index)
* Compatible with [`stable-diffusion-webui`](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
* Fully open source crawl, dataset, curation, and training process:
* Use these tools to train your own version with your own dataset!
* [Configuration](https://github.com/hearmeneigh/e621-rising-configs)
* [Toolchain](https://github.com/hearmeneigh/dataset-rising)
* [Dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated)
## Training Procedure
[Training legend](TBD)
* 160 images per batch (epoch variant)
* `1024x1024px` image size
* Adam optimizer
* Beta1 = `0.9`
* Beta2 = `0.999`
* Weight decay = `1e-2`
* Epsilon = `1e-08`
* Constant learning rate `4e-6`
* `fp16` mixed precision
* SNR gamma set to `5.0`
* Noise offset set to `0.07`
* `cosine_with_restarts` scheduler
* 11 epochs of [V3 curated dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated) samples resized to `< 1024x1024px` (maintain aspect ratio)
* 16 epochs of [V3 finetuner dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-finetuner) samples resized to `< 1024x1024px` (maintain aspect ratio)
* Tags for each sample are shuffled for each epoch