---
model: RoboDiffusionXL
languages: 
  - en
license: openrail
tags:
  - image-generation
  - lora
  - robot
---

# Model Card for RoboDiffusionXL: Advanced Robotic Imagery LORA Model

## Model usage

This model must not be used at full strength but at approximately 70%. E.g. in Auto1111 and Forge... < lora:robodiffusionxl:0.7 > .

## Example output
![Example output](example.jpg)

## The main keywords for this model are:
- Quadruped
- Hexapod
- Octopod
- Centiped
- Aerial
- Wheeled
- Underwater

Choose the appropriate keyword type for the desired motion type for the robot.

## Model Details

- **Model Name:** RoboDiffusionXL
- **Version:** 1.0
- **Model Type:** Image Generative LORA Model based on SDXL Base
- **Developers:** Fiacre
- **Release Date:** May 20, 2024
- **Model Repository:** [Hugging Face Models Hub](https://huggingface.co/Fiacre/robodiffusion-xl-v1)

## Overview

RoboDiffusionXL is a LORA (Latent Optimization with Representational Adjustment) based on the SDXL (Stable Diffusion XL) architecture. It is specially designed for generating high-quality, diverse images of robots in various forms, including but not limited to wheeled, quadruped, hexapod, octopod, centipede, underwater, and aerial robots, across multiple artistic styles.

## Training Data

RoboDiffusionXL was trained on a high-quality synthetic dataset curated to include a wide variety of robotic forms and styles. The images include historical, cultural, and futuristic themes, ensuring diverse generated outputs.

## Key Configuration and Settings

- **Learning Rate:** 0.0009.
- **Rank:** 256 (not so low rank), but was required otherwise the image were poor.

## Limitations

- Limited styles.
- It cannot do triped, and quintaped robots well.

## Licensing and Usage

license: openrail

## Future Work

Future updates will include the introduction of triped and quintaped robots, alongside a broader array of diverse styles. The aim is to continuously expand the model's capabilities to cover an even wider spectrum of robotic forms and artistic interpretations. Community suggestions are appreciated.