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- license: openrail
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+ # Model Card for RoboDiffusionXL: Advanced Robotic Imagery LORA Model
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+ ## Setup and Initialization
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+ This model must not be used at full strength but at approximately 70%. E.g. in Auto1111 Forge... <lora:robodiffusionxl:0.7>
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+ ## The main keywords for this model are:
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+ - Quadruped
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+ - Hexapod
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+ - Octopod
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+ - Centiped
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+ - Aerial
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+ - Wheeled
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+ - Underwater
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+ Choose the appropriate keyword type for the desired motion type for the robot.
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+ ## Model Details
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+ - **Model Name:** RoboDiffusionXL
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+ - **Version:** 1.0
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+ - **Model Type:** Image Generative LORA Model based on SDXL Base
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+ - **Developers:** Fiacre
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+ - **Release Date:** May 20, 2024
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+ - **Model Repository:** [Hugging Face Models Hub](https://huggingface.co/Fiacre/robodiffusion-xl-v1)
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+ ## Overview
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+ 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.
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+ ## Training Data
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+ 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.
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+ ## Key Configuration and Settings
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+ - **Optimizer:** Adafactor.
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+ - **Learning Rate:** 0.0009.
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+ - **Batch Size:** 5.
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+ - **Rank:** 256 (not so low rank), but was required otherwise the image were poor.
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+ ## Limitations
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+ - Limited styles.
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+ - It cannot do triped, and quintaped robots well.
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+ ## Licensing and Usage
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+ license: openrail
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+ ## Future Work
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+ 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.