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---
title: Hex Game Maker Development Features
emoji: 🌖
colorFrom: yellow
colorTo: purple
sdk: gradio
python_version: 3.10.13
sdk_version: 5.19.0
app_file: app.py
pinned: false
short_description: Transform Your Images into Mesmerizing Hexagon Grids
license: apache-2.0
tags:
- map maker
- tabletop
- text-to-image
- image-generation
- flux
hf_oauth: true
fullWidth: true
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/6346595c9e5f0fe83fc60444/s0fQvcoiSBlH36AXpVwPi.png
---

# Hex Game Maker
## Description
Welcome to Hex Game Maker, the ultimate tool for transforming your images into mesmerizing hexagon grid masterpieces! Well, this was a test project for HexaGrid. It has some nice features that did not make it into the final version of the program.
The intention was to do a full conversion, but the limitation on Negative Prompts is what killed this approach. It does not consistently render table top maps.. but it can do a lot!

### What Can You Do?
- **AI-Powered Image Generation:** Use AI to generate images based on your prompts and apply hexagon grids to them.
- **Sketch, upload or select:** images to guide your AI image generation 
- **Image Filter [Look-Up Table (LUT)] Application:** Apply filters (LUTs) to your images for color grading and enhancement.
- **Pre-rendered Maps:** Access a library of pre-rendered hexagon maps for quick and easy customization.


### Why You'll Love It
- **Fun and Easy to Use:** With an intuitive interface and real-time previews, creating hexagon grids has never been this fun!
- **Endless Creativity:** Unleash your creativity with endless customization options and see your images transform in unique ways.
- **Bee-Inspired Theme:** Enjoy a delightful yellow and purple theme inspired by bees and hexagons! 🐝
- **Advanced AI Models:** Leverage advanced AI models and LoRA weights for high-quality image generation and customization.

### Get Started
1. **Upload or Generate an Image:** Start by uploading your own image or generate one using our AI-powered tool.
2. **Download and Share:** Once you're happy with your creation, download it and share it with the world!

### Advanced Features
- **Generative AI Integration:** Utilize models like `black-forest-labs/FLUX.1-dev` and various LoRA weights for generating unique images.
- **Pre-rendered Maps:** Access a library of pre-rendered hexagon maps for quick and easy customization.
- **Image Filter [Look-Up Table (LUT)] Application:** Apply filters (LUTs) to your images for color grading and enhancement.


Join the hive and start creating with Hex Game Maker today!



# AI Image Generation Space Inspired From

| No. | Feature/Component | Description |
| --- | ----------------- | ----------- |
| 1   | **Title**          | Flux LoRA The Explorer |
| 2   | **Model**          | LoRA Fine-tuning with the Flux Model |
| 3   | **Exploration Mode** | Explore fine-tuned models within the Flux framework |
| 4   | **Interactivity**  | Allows users to experiment with different LoRA models |
| 5   | **UI**             | Clean interface inspired by multimodal designs |
| 6   | **Main Functionality** | Generate images using custom-trained LoRA models in Flux |
| 7   | **Usage Options**  | Various models for selection and generation within the app |
| 8   | **Integration**    | Hugging Face integration for easy access to pre-trained models |
| 9   | **Examples**       | Provides image samples for user inspiration |
| 10  | **Customization**  | User can modify prompts and parameters to explore model creativity |
| 11  | **Space URL**      | [flux-lora-the-explorer](https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer) |


## Contributions
Thanks to [@Surn](https://huggingface.co/spaces/Surn/beeuty) for adding this gradio theme!
Special Thanks to https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC as my endeavors to get the ZeroGPUs working had stopped me for 2 weeks with no help available. I was able to get the ZeroGPUs working with the help of this
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference