
<div style='background: #ffeec0; border: 1px solid #ffd86d; padding:1em; border-radius:3px;'>
<h3 style='margin:0'>Outdated!</h3>
<p style='margin:0'>This model has been superseded by:</p>
<p style='margin:0'><a style="font-size: 2em;" href='https://huggingface.co/hearmeneigh/e621-rising-v3'>E621 Rising V3 (SDXL)</a></p>
</div>


<div style='background: #ffdddd; padding:0.5em;'>
Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.
</div>

<div style='background: #e5e5e5; margin-top: 1.5em; margin-bottom: 1.5em; padding:1em; font-weight: bold'>
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.ckpt'>Ckpt</a> | 
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.safetensors'>Safetensors</a> | 
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.yaml'>Yaml</a> |
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/meta/tag-counts-by-name.json'>Tags</a> |
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/PROMPT-GUIDE.md#prompt-examples'>Example Prompts</a> |
  <a href='https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/guides/WEBUI.md'>WebUI How-To</a>
</div>

# 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](https://huggingface.co/stabilityai/stable-diffusion-2-1-base)
* Training continued from [E621 Rising V1](https://huggingface.co/hearmeneigh/sd21-e621-rising-v1)
* 10 additional epochs of 250,000 images each, collected from [E621](https://e621.net/)
* Trained with [6,246 tags](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/meta/tag-counts-by-name.json)
* `512x512px`
* Compatible with 🤗 `diffusers`
* Compatible with `stable-diffusion-webui`
* Compatible with anything that accepts [`.ckpt`](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.ckpt) and [`.yaml`](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.yaml) files

## Getting Started
* [Stable Diffusion WebUI How-To](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/guides/WEBUI.md)
* [Python How-To](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/guides/PYTHON.md)
* [Prompt Guide](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/PROMPT-GUIDE.md)

## Examples

![Richie3](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/examples/richie3.png)

[More examples and prompts here](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/PROMPT-GUIDE.md#prompt-examples)

## Versions
| Precision | CKPT | Safetensors | YAML | Notes |
| :-------- | :--- | :---------- | :--- | :---- |
| `FP16` | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.ckpt) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.safetensors) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp16.yaml) | Use this by default |
| `FP32` | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp32.ckpt) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp32.safetensors) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.fp32.yaml) | |
| `BF16` | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.bf16.ckpt) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.bf16.safetensors) | [Download](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/sd21-e621-rising-v2-epoch-29.bf16.yaml) | |

## Changes From E621
See a [complete list of tags here](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/meta/tag-counts-by-name.json).

* 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](https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/blob/main/examples/training-legend.jpg)

* 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](https://huggingface.co/datasets/hearmeneigh/e621-rising-v1-curated) 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](https://huggingface.co/datasets/hearmeneigh/e621-rising-v2-curated) samples resized to `< 512x512px` (maintain aspect ratio)
* Tags for each sample are shuffled for each epoch, starting from epoch 16
{"library_name": "diffusers", "tags": ["anthro", "furry", "e621", "nsfw", "not-for-all-audiences"], "datasets": ["hearmeneigh/e621-rising-v2-curated", "hearmeneigh/e621-rising-v1-curated"], "pipeline_tag": "text-to-image"}
diffusers tensorboard anthro furry e621 nsfw not-for-all-audiences text-to-image dataset:hearmeneigh/e621-rising-v2-curated dataset:hearmeneigh/e621-rising-v1-curated endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #tensorboard #anthro #furry #e621 #nsfw #not-for-all-audiences #text-to-image #dataset-hearmeneigh/e621-rising-v2-curated #dataset-hearmeneigh/e621-rising-v1-curated #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 


### Outdated!


This model has been superseded by:


[Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.](URL Rising V3 (SDXL)</a></p>
</div>
<div style=)




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
--------


!Richie3


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



### Outdated!


This model has been superseded by:


[Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.](URL Rising V3 (SDXL)</a></p>
</div>
<div style=)




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
--------


!Richie3


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
TAGS
#diffusers #tensorboard #anthro #furry #e621 #nsfw #not-for-all-audiences #text-to-image #dataset-hearmeneigh/e621-rising-v2-curated #dataset-hearmeneigh/e621-rising-v1-curated #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 ### Outdated!


This model has been superseded by:


[Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.](URL Rising V3 (SDXL)</a></p>
</div>
<div style=)




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
--------


!Richie3


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
TAGS
#diffusers #tensorboard #anthro #furry #e621 #nsfw #not-for-all-audiences #text-to-image #dataset-hearmeneigh/e621-rising-v2-curated #dataset-hearmeneigh/e621-rising-v1-curated #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
### Outdated!


This model has been superseded by:


[Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.](URL Rising V3 (SDXL)</a></p>
</div>
<div style=)




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
--------


!Richie3


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