DreamBooth model for the kldscp concept trained by rmahfuz on the rmahfuz/kaleidoscope dataset.

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

Here are examples of some images generated with this fine-tuned model, along with the text prompts:

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/fruit_salad.png"> <p>kldscp pattern as a fruit salad, guidance: 11</p>

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/fruit_salad_30.png"> <p>kldscp pattern as a fruit salad, guidance: 30</p>

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/vegetable_salad_30.png"> <p>kldscp pattern as a vegetable salad, guidance: 30</p>

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/bouquet_20.png"> <p>kldscp pattern as a bouquet, guidance: 20</p>

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/starfish_shape_30.png"> <p>kldscp pattern in starfish shape, guidance: 30</p>

<img src="https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/black_night_sky_w_sparse_sparkling_white_stars_40.png"> <p>kldscp pattern as black night sky with sparse sparkling white stars, guidance: 40</p>

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 kaleidoscope pattern images for the science theme.

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('rmahfuz/kldscp-pattern')
image = pipeline().images[0]
image