Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("dogeplusplus/jaffa-cake", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of a jaffa cake"
image = pipe(prompt).images[0]DreamBooth model for the jaffa concept trained by dogeplusplus on some images of jaffa cakes.
This is a Stable Diffusion model fine-tuned on the jaffa concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of a jaffa cake
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
| Stable Diffusion v1-4 | Dreambooth Jaffa |
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Generate images of jaffa cakes in different contexts and art styles:
| ukiyo-e | picasso | rembrandt |
|---|---|---|
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| van gogh | warhol | dali |
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Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('dogeplusplus/jaffa-cake')
image = pipeline().images[0]
image
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