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README.md
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- stable-diffusion
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library_name: safetensors
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---
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<style>
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.title-container {
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/* Scale the container on hover */
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}
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.custom-image {
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width: 100%;
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height: auto;
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object-fit: cover;
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border-radius: 10px;
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transition: transform .7s;
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margin-bottom: 0em;
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}
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.nsfw-filter {
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filter: blur(8px); /* Apply a blur effect */
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transition: filter 0.3s ease; /* Smooth transition for the blur effect */
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<tr>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</div>
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</td>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</td>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/
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</div>
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</td>
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</tr>
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</table>
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<p align="center", style="font-size: 3.6rem; font-weight: bold"> β 218xl β </p>
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# β 218 -- 6 months later
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Continuation of what I loved about the first model, with updated ingredients and method of merging, that is Bayesian merging with manual scoring with samples generated with my LoRA.
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- stable-diffusion
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library_name: safetensors
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---
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+
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<p align="center", style="font-size: 3.6rem; font-weight: bold"> β 218xl β </p>
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<style>
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.title-container {
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/* Scale the container on hover */
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}
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.custom-image-container:hover .custom-image {
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opacity: 0
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}
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.custom-image-container:hover
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.hover-image {
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opacity: 1;
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}
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.custom-image {
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width: 100%;
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height: auto;
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object-fit: cover;
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border-radius: 10px;
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transition: transform .7s, opacity .5s;
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margin-bottom: 0em;
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}
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.hover-image {
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position: absolute;
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top: 0;
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left: 0;
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opacity: 0;
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transition: opacity .5s;
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}
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.nsfw-filter {
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filter: blur(8px); /* Apply a blur effect */
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transition: filter 0.3s ease; /* Smooth transition for the blur effect */
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<tr>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb1.png" alt="sample1">
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<img class="hover-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb3.png" alt="Second Image">
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb2.png" alt="sample4">
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</div>
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</td>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb3.png" alt="sample2">
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb4.png" alt="sample3">
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</td>
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<td>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb5.png" alt="sample1">
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</div>
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<div class="custom-image-container">
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<img class="custom-image" src="https://huggingface.co/Enferlain/218xl/resolve/main/images/218xlb6.png" alt="sample4">
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</div>
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</td>
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</tr>
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</table>
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# β 218 -- 6 months later
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Continuation of what I loved about the first model, with updated ingredients and method of merging, that is Bayesian merging with manual scoring with samples generated with my LoRA.
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