DreamBooth model for the bongodog concept trained by dacquaviva on the dacquaviva/bongodog dataset.

This is a Stable Diffusion model fine-tuned on the bongodog concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of bongodog dog

This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!

Description

This is a Stable Diffusion model fine-tuned on my dog images for the animal theme. His name is Bongo :).

Photo of my dog Bongo:

<img src="https://drive.google.com/uc?export=view&id=1m5heLYYzQIxDeyNoxxtB6X7bwNhxqG9v" alt="bongodog" width="200"/> <img src="https://drive.google.com/uc?export=view&id=1nP3JqAYEZSlTFAgduhhFC6S7XYKo8Nz9" alt="bongodog" width="200"/>

Examples of generated images:

<img src="https://drive.google.com/uc?export=view&id=1DaJUXJP2nQy0_TVQpf3QAaJd6rBfbOlo" alt="bongodog" width="200"/> <img src="https://drive.google.com/uc?export=view&id=1ybeN5vg0OYuSalOenQX8AB8yaYBRW3O0" alt="bongodog" width="200"/> <img src="https://drive.google.com/uc?export=view&id=1-HqsSQpuPIh8Y8C0kD92mPs_Rd68cPik" alt="bongodog" width="200"/> <img src="https://drive.google.com/uc?export=view&id=1JvUDQuTC0oaZiFPKQXUfUsHfhr8LLpCw" alt="bongodog" width="200"/>

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('dacquaviva/bongodog-dog')
image = pipeline().images[0]
image