readme: ---
  license: creativeml-openrail-m
  tags:
  - pytorch
  - diffusers
  - stable-diffusion
  - text-to-image
  - diffusion-models-class
  - dreambooth-hackathon
  - science
  widget:
  - text: a photo of kldscp pattern as a fruit salad
  datasets:
  - rmahfuz/kaleidoscope
  ---
  
  # 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](https://huggingface.co/dreambooth-hackathon) 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
  
  ```python
  from diffusers import StableDiffusionPipeline
  
  pipeline = StableDiffusionPipeline.from_pretrained('rmahfuz/kldscp-pattern')
  image = pipeline().images[0]
  image
  ```