Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.
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 π€
diffusers
- Compatible with
stable-diffusion-webui
- Compatible with anything that accepts
.ckpt
and.yaml
files
Getting Started
Examples
More examples and prompts here
Versions
Precision | CKPT | Safetensors | YAML | Notes |
---|---|---|---|---|
FP16 |
Download | Download | Download | Use this by default |
FP32 |
Download | Download | Download | |
BF16 |
Download | Download | Download |
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
- 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
- Beta1 =
- 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
orWx512px
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
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