E621 Rising V2: A Stable Diffusion 2.1 Model [epoch 29]

• Guaranteed NSFW or your money back
• Fine-tuned from Stable Diffusion v2-1-base
• Training continued from E621 Rising V1
• 10 additional epochs of 250,000 images each, collected from E621
• Trained with 6,246 tags
• 512x512px
• Compatible with 🤗 diffusers
• Compatible with stable-diffusion-webui
• Compatible with anything that accepts .ckpt and .yaml files

Getting Started

• Stable Diffusion WebUI How-To
• Python How-To
• Prompt Guide

Examples

More examples and prompts here

Versions

Changes From E621

See a complete list of tags here.

• Symbols have been prefixed with symbol:, e.g. symbol:<3
• All categories except general have been prefixed with the category name, e.g. copyright:somename. The categories are:
  • artist
  • copyright
  • character
  • species
  • invalid
  • meta
  • lore
• Tag names are all lowercase and only contain a-z, 0-9, /, and _ letters
• : is used to separate the category name from the tag

Additional Tags

• Image rating
  • rating:explicit
  • rating:questionable
  • rating:safe

Training Procedure

Training legend

• 204-272 images per batch (epoch variant)
• 512x512px image size
• Adam optimizer
  • Beta1 = 0.9
  • Beta2 = 0.999
  • Weight decay = 1e-2
  • Epsilon = 1e-08
• Constant learning rate 4e-6
• bf16 mixed precision
• 8 epochs of V1 dataset samples stretched to 512x512px (ignore aspect ratio)
• 9 epochs of V1 dataset samples resized to 512xH or Wx512px with center crop (maintain aspect ratio)
• 2 epochs of V1 dataset samples resized to < 512x512px (maintain aspect ratio)
• 10 epochs of V2 dataset samples resized to < 512x512px (maintain aspect ratio)
• Tags for each sample are shuffled for each epoch, starting from epoch 16