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<h3 style='margin:0'>NSFW</h3>
<p style='margin:0'>This model is not suitable for use by minors. The model can and will produce X-rated/NFSW content.</p>
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<h1 style='margin:0'>Quickstart</h1>
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<h3 style='margin:0'>Downloads</h3>
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<a href="https://huggingface.co/hearmeneigh/e621-rising-v3-safetensors/resolve/main/e621-rising-v3-epoch-34.fp16.safetensors" style="text-decoration: none !important;">
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<a href="https://huggingface.co/hearmeneigh/e621-rising-v3-safetensors/resolve/main/e621-rising-v3-epoch-34.fp16.safetensors" style="text-decoration: underline">Checkpoint</a>
<small style='padding-left: 0.5em'>
(<a href="https://huggingface.co/hearmeneigh/e621-rising-v3-safetensors/resolve/main/e621-rising-v3-epoch-34.safetensors">fp32</a> |
<a href="https://huggingface.co/hearmeneigh/e621-rising-v3-safetensors/resolve/main/e621-rising-v3-epoch-34.fp16.safetensors">fp16</a> |
<a href="https://huggingface.co/hearmeneigh/e621-rising-v3-safetensors/resolve/main/e621-rising-v3-epoch-34.bf16.safetensors">bf16</a>)
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<a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/rising-v3.csv" style="text-decoration: none !important">
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<a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/rising-v3.csv">Tag Autocomplete CSV</a>
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<a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/e621-rising-v3.comfuyi.json?download=true" style="text-decoration: none !important">
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<a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/e621-rising-v3.comfuyi.json?download=true">ComfyUI Workflow</a>
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<h3 style='margin:0; margin-top: 1em;'>Reference</h3>
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• <a href="https://huggingface.co/hearmeneigh/e621-rising-v3/blob/main/INSTALL.md">Installation instructions</a>
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• <a href="https://huggingface.co/hearmeneigh/e621-rising-v3/blob/main/CHANGELOG.md">What's new in v3?</a>
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• <a href="https://huggingface.co/hearmeneigh/e621-rising-v3/blob/main/PROMPT-EXAMPLES.md" style='display: inline-block; margin-top:0.5em'>Prompt examples</a>
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• <a href="https://huggingface.co/hearmeneigh/e621-rising-v3/blob/main/PROMPT-GUIDE.md">Prompt guide</a>
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• <a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/blob/main/tag-counts.by-name.json" style='display: inline-block; margin-top:0.5em'>Tag list</a>
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• <a href="https://huggingface.co/hearmeneigh/e621-rising-v3/blob/main/AUTOCOMPLETE.md">Tag autocomplete guide</a>
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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 base model:
1024x1024px
- Trained with 11 epochs of 280,000 images each
- Finetuned with 23 epochs of 40,000 images each
- Compatible with:
- 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.
<img src='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/examples/singles/03-birb.jpg' alt='Birb' style='max-width:512px;' />
<img src='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/examples/singles/02-royal-stallion.jpg' alt='Royal Stallion' style='max-width:512px;' />
<img src='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/examples/singles/06-assassin.jpg' alt='Assassin' style='max-width:512px;' />
<img src='https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-preliminary-data/resolve/main/examples/singles/05-neekedneko.jpg' alt='Neeked Neko' style='max-width:512px;' />
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