The model is trained using a technique called stable diffusion, which is a more robust and stable way to train generative models than traditional diffusion models. This makes it less likely to generate artifacts or distorted images.

The model is also trained using SDXL 1.0, which is a new and improved version of the Stable Diffusion model. SDXL 1.0 is more powerful and efficient than previous versions, and it can generate even more realistic and detailed images.

I trained the model on a 3090 GPU. The model is currently available on Civitai, and you can use it to generate your own images.

Here are some of the features of the model:

• Can generate realistic and high-quality images of people, animals, objects, and scenes.

• Trained on a dataset of over 3000 images.

• Trained using stable diffusion, which is a more robust and stable way to train generative models.

• Trained using SDXL 1.0, which is a new and improved version of the Stable Diffusion model.

Realistic Vision V5.1 is now on Hugging Face