## Model Card: Miami Beach Hologram<ul><li>Please refer to</li><li><a target="_blank" rel="ugc" href="https://huggingface.co/robb-0/miami-beach-hologram">https://huggingface.co/robb-0/miami-beach-hologram</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/robb-0/miami_beach_hologram_2">https://huggingface.co/robb-0/miami_beach_hologram_2</a></li></ul>Version 2 - UpdateWhile v.1 was an idea, v.2 was trained with real objects and text:<ul><li>It may help with small words in case SDXL is struggling (as seen on samples.)</li><li>It may hlep rendering old school objects, not that SDXL cannot on its own, but it quickly associates with the LoRA dataset and tends to render better props and scenes.</li><li>Trigger word will turn everything neon, it's not necessary for more neutral themes, while it still improves a lot of aspects in the image.</li><li>For newer fine-tuned models it's better setting the weight around 0.6 ~ 0.7. For SDXL about 1.0 (when there is text,) or 0.8</li><li>Dataset is available on HuggingFace at <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/robb-0/miami_beach_hologram2_dataset">https://huggingface.co/datasets/robb-0/miami_beach_hologram2_dataset</a></li><li>Have fun!</li></ul>### OverviewThe Miami Beach Hologram model is a custom Image LoRA (Low-Rank Adaptation) designed to generate vibrant, neon-lit, and geometrically precise artworks inspired by the iconic aesthetics of Miami Beach. This model specializes in creating futuristic, holographic-style images with a strong emphasis on neon lighting, reflective surfaces, and retro-futuristic elements. Whether you’re an artist, designer, or creator, this model offers a powerful tool for generating stunning, synthwave-inspired visuals.The main reason is to create this style of images for SDXL without much prompting. I had a few LoRAs which - despite not being their focuses - were able to create amazing Miami Beach Hologram arcade style. I was bored here and thought, why not?I'm sharing the dataset which was generated via Flux, and it's followed by captions tagged here on Civitai.---### Key Features- Neon Holographic Style: Produces images with glowing neon lights, reflective surfaces, and a dreamy, futuristic atmosphere.- Geometric Precision: Emphasizes clean lines, sharp shapes, and low-poly aesthetics, perfect for creating sci-fi and retro-futuristic scenes.- Versatile Applications: Ideal for AI art, video game assets, album covers, digital installations, and conceptual designs.- Inspired by Miami Beach: Captures the vibrant, neon-lit essence of Miami Beach, blending it with a holographic, cyberpunk-inspired aesthetic.---### Training Details#### Dataset- Dataset Size: 15 images- Source: Custom-curated dataset shared on Civitai, featuring high-quality images with text file captions.- Content: The dataset includes examples of neon-lit scenes, geometric shapes, reflective surfaces, and iconic landmarks rendered in a holographic style.#### Training Parameters- Model Base: SDXL 1.0- VAE: SDXL-VAE-16-Fix- Scheduler: Euler- Steps: 30- Clip Skip: 1- Total Training Steps: 380- Epochs: 10- Batch Size: 4- Optimizer: AdamW- Learning Rate Schedule: Cosine with Restarts#### Training Environment- Stable Diffusion Version: SDXL 1.0- Training Framework: Custom LoRA training pipeline- Device: GPU (Recommended for efficient inference)### LicenseThe Miami Beach Hologram model is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.- License URL: [<a target="_blank" rel="ugc" href="https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)">https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)</a>- Attribution: When using this model, please credit the author and include the following information:```Miami Beach Hologram © 2025 by Robb-0Licensed under CC BY 4.0```---### Acknowledgments- Dataset Contributors: Thank you to the creators of the images used in the training dataset. All images were generating using Flux image model.- Stable Diffusion Team: Gratitude to the developers of SDXL for providing the foundational model.- Community: Special thanks to the AI art community for their support and inspiration.---### DisclaimerThis model is provided as-is. While efforts have been made to ensure its quality, the author is not responsible for any issues arising from its use. Use at your own discretion.---🌟✨

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