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FFUSION.ai-Text-Encoder-LyCORIS-SD-2.1

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di.ffusion.ai
stable-diffusion
LyCORIS
LoRA
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  - LyCORIS
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  - LoRA
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  ---
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- ![textenc2.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/FdHQj5OTJFwvpGeBmUrcp.jpeg)
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  # Model Card for di.FFUSION.ai Text Encoder - SD 2.1 LyCORIS
 
 
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  <!-- Provide a quick summary of what the model is/does. [Optional] -->
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  di.FFUSION.ai-tXe-FXAA
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  Trained on &#34;121361&#34; images.
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  Enhance your model&#39;s quality and sharpness using your own pre-trained Unet.
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- ![Screenshot_1282.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/7LMvF7XgNCkTkqaGlnSt_.jpeg)
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  The text encoder (without UNET) is wrapped in LyCORIS. Optimizer: torch.optim.adamw.AdamW(weight_decay=0.01, betas=(0.9, 0.99))
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  Large size due to Lyco CONV 256
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  ![textenco2.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/wST8mxFasiu8TJijqdHH_.jpeg)
 
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  This is a heavy experimental version we used to test even with sloppy captions (quick WD tags and terrible clip), yet the results were satisfying.
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  - LyCORIS
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  - LoRA
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  ---
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  # Model Card for di.FFUSION.ai Text Encoder - SD 2.1 LyCORIS
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+ ![textenc2.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/FdHQj5OTJFwvpGeBmUrcp.jpeg)
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+
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  <!-- Provide a quick summary of what the model is/does. [Optional] -->
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  di.FFUSION.ai-tXe-FXAA
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  Trained on &#34;121361&#34; images.
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+ - **DOWNLOAD:** https://huggingface.co/FFusion/FFUSION.ai-Text-Encoder-LyCORIS-SD-2.1/blob/main/di.FFUSION.ai-tXe-FXAA.safetensors
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  Enhance your model&#39;s quality and sharpness using your own pre-trained Unet.
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  The text encoder (without UNET) is wrapped in LyCORIS. Optimizer: torch.optim.adamw.AdamW(weight_decay=0.01, betas=(0.9, 0.99))
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  Large size due to Lyco CONV 256
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  ![textenco2.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/wST8mxFasiu8TJijqdHH_.jpeg)
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+ ![Screenshot_1282.jpg](https://s3.amazonaws.com/moonup/production/uploads/6380cf05f496d57325c12194/7LMvF7XgNCkTkqaGlnSt_.jpeg)
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  This is a heavy experimental version we used to test even with sloppy captions (quick WD tags and terrible clip), yet the results were satisfying.
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