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Miami Beach Hologram

8
76
71
2
Verified:
SafeTensor
Type
LoRA
Stats
30
40
33
Reviews
Published
Jun 3, 2025
Base Model
SDXL 1.0
Training
Epochs: 10
Usage Tips
Strength: 0.8
Trigger Words
miami beach hologram
Hash
AutoV2
276FE696A6
Robb0's Avatar
Robb0

## Model Card: Miami Beach Hologram

Version 2 - Update

While v.1 was an idea, v.2 was trained with real objects and text:

  • It may help with small words in case SDXL is struggling (as seen on samples.)

  • 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.

  • 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.

  • 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

  • Dataset is available on HuggingFace at https://huggingface.co/datasets/robb-0/miami_beach_hologram2_dataset

  • Have fun!

### Overview

The 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.

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### 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.

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### 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)

### License

The Miami Beach Hologram model is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

- License URL: [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)

- Attribution: When using this model, please credit the author and include the following information:

```

Miami Beach Hologram © 2025 by Robb-0

Licensed under CC BY 4.0

```

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### 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.

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### Disclaimer

This 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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