A DreamBooth model capable of spectacular/cinematic visuals of Tyrannosaurus rex (the most famous and feared of all prehistoric predators) dinosaur image generator.

Trained by HugeFighter on the HugeFighter/dinosaurs dataset, This is a Stable Diffusion model fine-tuned on the dinosaur concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of a trex dinosaur

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 dinosaur images for the science theme.

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('HugeFighter/trex-dinosaur')
image = pipeline().images[0]
image

Dataset Summary: T.Rex generator

This dataset includes 12 images of trex collected randomly from web. The dataset contains unique photographs of trex with different backgrounds. I won't recommend this using these images as your training data (small dataset), but you can still use it for sampling purpose.

The dataset is intended to be used in the context of the Hugging Face Dream Booth hackathon, a competition that challenges participants to build innovative applications using the Hugging Face transformers library. The submission is for the category of animal.

Dataset Structure

The complete dataset consists of 12 objects, representing 0.01GB of stored data across 12 rows in parquet format.

Examples of output images generated by pipeline

prompt = "A photo of a trex dinosaur, wandering over Jurassic park with a big roar"

prompt = "Photorealistic trex dinosaur, (Jurassic Park) lush greenery, towering prehistoric ferns, dramatic lighting casting shadows, (intense expression), rugged texture of scales, ferocious stance, misty atmosphere, high-quality detail, 4K, (cinematic depth), vibrant colors of nature, embedding a sense of ancient history, (dynamic environment) teeming with life and excitement."