Instructions to use axolotron/ice-cream-animals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axolotron/ice-cream-animals with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("axolotron/ice-cream-animals", dtype=torch.bfloat16, device_map="cuda") prompt = "a butterfly ice cream, icenimal" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ice_cream_animals Dreambooth Model for Food trained on a custom dataset.
This is a Stable Diffusion 2.1 768px model fine-tuned on the food concept with DreamBooth. It can be used by modifying the instance_prompt: a butterfly ice cream, icenimal
This model was created as part of the DreamBooth Hackathon π₯.
Samples:
A red dragon
A disney princess
A demogorgon
An elephant
A bee
An axolotl
a cat
Pokemon
Donald Trump as ice cream
A butterfly

- Downloads last month
- 6