Instructions to use mrpopsalot/ilxl-lora-sfw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrpopsalot/ilxl-lora-sfw with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-0.75", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mrpopsalot/ilxl-lora-sfw") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
ce19a26
1
Parent(s): f70011f
Update .gitignore, README.md, 2135-noobaiXLNAIXL_epsilonPred075-646577421106976.png, and 3 more files
Browse files- .gitignore +15 -0
- README.md +138 -0
- cyb_m-76e_omaha/pops_cyb_m-76e_omaha-v007.safetensors +3 -0
.gitignore
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README.md
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---
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license: apache-2.0
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---
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---
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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license: apache-2.0
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base_model:
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- Laxhar/noobai-XL-0.75
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---
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<style>
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.title-container {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh; /* Adjust this value to position the title vertically */
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}
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.title {
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font-size: 2.5em;
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text-align: center;
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color: #333;
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font-family: "lucida sans unicode", "lucida grande", sans-serif;
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font-style: italic;
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font-weight: bold;
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font-variant: small-caps;
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letter-spacing: 0.05em;
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padding: 0.5em 0;
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background: transparent;
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}
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.title span {
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background: -webkit-linear-gradient(45deg, #fffa00, #01688f);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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.content-warning {
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font-size: 1.5em;
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text-align: center;
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color: #333;
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font-weight: bold;
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font-variant: small-caps;
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letter-spacing: 0.05em;
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padding: 0.5em 0;
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background: transparent;
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}
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.content-warning span {
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background: -webkit-linear-gradient(45deg, #ff9999, #FF5C95);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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.custom-table {
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table-layout: fixed;
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width: 100%;
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border-collapse: collapse;
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margin-top: 0em;
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}
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.custom-table td {
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width: 50%;
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vertical-align: top;
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padding: 10px;
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box-shadow: 0px 0px 0px 0px rgba(0, 0, 0, 0.15);
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}
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.custom-image-container {
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position: relative;
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width: 100%;
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margin-bottom: 0em;
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overflow: hidden;
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border-radius: 10px;
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transition: transform .7s;
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/* Smooth transition for the container */
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}
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.custom-image-container:hover {
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transform: scale(1.05);
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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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.custom-button {
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width: auto;
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height: 100px;
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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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display: block;
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margin-left: auto;
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margin-right: auto;
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}
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</style>
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<h1 class="title">
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<span>Mr Pops Alot's LoRA Collection</span>
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<br>Illustrious XL
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</h1>
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## About
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Welcome to my collection of LoRAs for IllustriousXL-based models.
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---
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### Militech M-76e Omaha (Cyberpunk 2077)
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My first weapon lora. Trained with ~40 images and seared with 64 dimensional rank and a sightly high learning rate.
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* Base model: [Laxhar/noobai-XL-0.75](https://huggingface.co/Laxhar/noobai-XL-0.75)
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* Trigger word: m-76e omaha, handgun
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* Recommended weight: 1.0
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* [Download Safetensors](https://huggingface.co/mrpopsalot/ilxl-lora-sfw/resolve/main/cyb_m-76e_omaha/pops_cyb_m-76e_omaha-v007.safetensors)
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<table class="custom-table">
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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="cyb_m-76e_omaha/Screenshots/2128-noobaiXLNAIXL_epsilonPred075-628571092643560.png" alt="sample1">
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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="cyb_m-76e_omaha/Screenshots/2135-noobaiXLNAIXL_epsilonPred075-646577421106976.png" alt="sample2">
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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="cyb_m-76e_omaha/Screenshots/2201-noobaiXLNAIXL_epsilonPred075-191716667291928.png" alt="sample3">
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</div>
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</td>
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</tr>
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</table>
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### License
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All LoRA models are provided under the [Apache License 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) license.
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I am in no way responsible for any content that the user creates with malicious intent while using any of these models. The user assumes complete responsibility for the misuse of these tools and any unethical content created with them. **Follow all local, state, and federal laws as well as online rules regarding this content and generations with this LoRA. I am not responsible if you are arrested or banned from an online service for using these.**
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cyb_m-76e_omaha/pops_cyb_m-76e_omaha-v007.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4751ecfa3719568862e520989c898052382fa5ade79cbe2902ed2c9593dfc53
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size 464736680
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