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 |
|---|---|---|
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| a cute koala, mazapan | a cute robot made of mazapan | a cute fox, mazapan |
|---|---|---|
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Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('kokuma/mazapan')
image = pipeline().images[0]
image
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