pytorch diffusers stable-diffusion text-to-image diffusion-models-class dreambooth-hackathon animal

DreamBooth model for the vincentcat concept trained by juancopi81 on the juancopi81/jcp-vincent-cat dataset.

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

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 cat images for the animal theme.

Examples


Prompt: A painting of vincentcat cat in the style of Van Gogh <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_VG_final.jpeg">


Prompt: <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_Cartoon_1.png"> <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_Cartoon_2.png">


Prompt: painting of vincentcat cat as an anime warrior, trending on artstation pixiv makoto shinkai <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_7.jpg">


Prompt: A painting of vincentcat cat, acrylic palette knife <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_3.jpg">


Prompt: <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_VG_2.png">


Prompt: Painting of vincentcat cat flying around the moon in the style of Leonardo Da Vinci <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_7.jpg">


Prompt: A photo of the Acropolis, and a portrair of vincentcat cat walking near the tower <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_6.jpg">


Prompt: A photo of the Eiffel Tower, a vincentcat cat is walking near the tower <img src="https://huggingface.co/juancopi81/vincentcat-cat/resolve/main/Vincent_5.jpg">

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('juancopi81/vincentcat-cat')
image = pipeline().images[0]
image