Robo-Diffusion 2

biaru

almost 3 years ago

This model was originally uploaded to HuggingFace / Civitai. If it's yours, please contact us so we can transfer it to your account!

A dreambooth-method finetune of stable diffusion that will output cool looking robots when prompted.

Usage

Keep the words nousr robot towards the beginning of your prompt to invoke the finetuned style. Use negative prompts to achieve the best result.

Created by nousr.

source: https://huggingface.co/nousr/robo-diffusion-2-base

What is Robo-Diffusion 2?

Robo-Diffusion 2 is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user biaru. Derived from the powerful Stable Diffusion (SD 2.0) model, Robo-Diffusion 2 has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Robo-Diffusion 2 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as .

With a rating of 3 and over 2 ratings, Robo-Diffusion 2 is a popular choice among users for generating high-quality images from text prompts.

Can I download Robo-Diffusion 2?

Yes! You can download the latest version of Robo-Diffusion 2 from here.

How to use Robo-Diffusion 2?

To use Robo-Diffusion 2, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Robo-Diffusion 2, check out our crash course in AI image generation.

Download (2.35 GB) Download available on desktop only

You'll need to use a program like A1111 to run this – learn how in our crash course