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

⤓ Checkpoint (fp32 | fp16 | bf16)
⤓ Tag Autocomplete CSV

Reference

• Installation instructions
• What's new in v3?
• Prompt examples
• Prompt guide
• Tag list
• Tag autocomplete guide

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 23 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

Examples

For more examples, continue here.

For more examples, continue here.

Training Procedure

Training legend

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 samples resized to < 1024x1024px (maintain aspect ratio)
16 epochs of V3 finetuner dataset samples resized to < 1024x1024px (maintain aspect ratio)
6 epochs of V3 finetuner dataset samples resized to < 1024x1024px (maintain aspect ratio, randomly drop 70% of tags)
1 epoch of V3 finetuner dataset samples resized to < 1024x1024px (maintain aspect ratio, randomly drop 50% of tags) and learning rate set to 4e-5
Tags for each sample are shuffled for each epoch