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DreamBooth model for the mazapan concept trained by kokuma on the kokuma/figuritas-de-mazapan dataset.

This is a Stable Diffusion model fine-tuned on the mazapan concept with DreamBooth for the food theme.
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!

Prompts

  • a cute X, mazapan: a cute bunny, mazapan
  • a cute X made of mazapan: a cute robot made of mazapan
  • a photograph of a cute X, mazapan: a photograph of a cute dog, mazapan

Suggested parameters

  • CFG scale: Between 6 and 8
  • Samplers: Euler a, Euler, DPM2 a, DPM++ SDE, DPM fast, DPM adaptive, DPM2 a Karras

Examples

a cute dog, mazapan a cute sparrow, mazapan a cute bear, mazapan
a cute koala, mazapan a cute robot made of mazapan a cute fox, mazapan

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('kokuma/mazapan')
image = pipeline().images[0]
image
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Dataset used to train kokuma/mazapan

Space using kokuma/mazapan 1