Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Instructions to use dogeplusplus/jaffa-cake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dogeplusplus/jaffa-cake with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 520ad224b36781ca0e684d4c87f40abb1464dc4ff0124f525d2d608491479894
- Size of remote file:
- 4.14 MB
- SHA256:
- 2d62119cd70daadf43a45013eecee0dc7c8f05b63022380326b4555ea96f26e6
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