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README.md
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@@ -11,7 +11,7 @@ This LoRA model generates the cute yellow slime that was familiar in Android dev
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Activation word is `blob`.
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There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about `0.7` when applying.
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Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are `blob` and Unicode CLDR Short Name and Keywords (e.g., `blob, grinning face, black background, face, grin, grinning face`).
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It is trained by `sd-scripts`. See model metadata for details.
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# Examples
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This is LoRA-C3Lier (with conv2d-3x3). Activation word is `blob`.
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There are epoch-80 model with some flexibility in prompting and epoch-160 model that are somewhat over-fitted. If you use the epoch-160 model, reduce the weights to about `0.7` when applying.
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Total 267 images are used for 89 different images, each with a white, black, or gray background. The prompts are `blob` and Unicode CLDR Short Name and Keywords (e.g., `blob, grinning face, black background, face, grin, grinning face`).
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It is trained by `sd-scripts`, `network_dim=4, alpha=1, conv_div=4, conv_alpha=1, unet only`. See model metadata for details.
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# Examples
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