Maintainer: nousr

Total Score


Last updated 5/28/2024

Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The robo-diffusion model is a Dreambooth-method fine-tuned version of the stable-diffusion-2-base model, developed by nousr. This model has been trained to output cool-looking robot images when prompted.

Model inputs and outputs

The robo-diffusion model takes in text prompts as input and generates corresponding images as output. The model can be used to create robot-themed images with a unique visual style.


  • Text prompt: A text description of the desired image, such as "a robot playing guitar" or "a cyborg warrior in a futuristic city".


  • Generated image: An image corresponding to the input text prompt, depicting robots or other related content.


The robo-diffusion model can generate a wide variety of robot-themed images with a distinct artistic style. The images have a cohesive visual aesthetic that is different from the output of the base Stable Diffusion model.

What can I use it for?

The robo-diffusion model can be used for creative and artistic projects involving robot-themed imagery. This could include illustrations, concept art, or even assets for games or other applications. The model's unique style may be particularly well-suited for science fiction or cyberpunk-inspired work.

Things to try

Try incorporating the words "nousr robot" at the beginning of your prompts to invoke the fine-tuned robot style of the robo-diffusion model. Experiment with different prompt variations, such as combining the robot theme with other genres or settings, to see what kind of unique images the model can generate.

This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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