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@@ -19,8 +19,10 @@ Unet merge
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  Model A: AnimagineXL_V3
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  Model B: colossusprojectXLSFW_v5.3
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  1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1
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- base_alpha: 0
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-
 
 
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  # **Sample images**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/W8Op23euXakHN9HVOAkIC.png)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/Y0tvEws9--n3Ddf_wxA7s.png)
@@ -38,6 +40,6 @@ Unet merge
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/SCn8ZnvxRCflXjP3icyUe.png)
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  ---
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- license: mit<br>
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  license: [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
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  ---
 
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  Model A: AnimagineXL_V3
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  Model B: colossusprojectXLSFW_v5.3
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  1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1
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+ base_alpha: 0
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+
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+ Note: It has come to my attention that I have accidentally used the merge option for SD 1.x, rather than SDXL. This means I have inadvertently merged the layers I had not originally intended. If you are looking to replicate my model, please use the [merge-block-weighted](https://github.com/bbc-mc/sdweb-merge-block-weighted-gui) extension as I have done.
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+
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  # **Sample images**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/W8Op23euXakHN9HVOAkIC.png)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/Y0tvEws9--n3Ddf_wxA7s.png)
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d020035c5797eabf5c3da9/SCn8ZnvxRCflXjP3icyUe.png)
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  ---
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+
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  license: [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
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  ---