metadata
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.
Quickstart
Downloads
Reference
E621 Rising V3 (SDXL)
- Furry / anthro base model trained with images (mainly) from E621
- 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
- Compatible with
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
- Toolchain
- Dataset
Training Procedure
- 160 images per batch (epoch variant)
1024x1024px
image size- Adam optimizer
- Beta1 =
0.9
- Beta2 =
0.999
- Weight decay =
1e-2
- Epsilon =
1e-08
- Beta1 =
- 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 samples resized to
< 1024x1024px
(maintain aspect ratio) - 16 epochs of V3 finetuner dataset samples resized to
< 1024x1024px
(maintain aspect ratio) - Tags for each sample are shuffled for each epoch