Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use DeadBeast/random-animals-birds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeadBeast/random-animals-birds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeadBeast/random-animals-birds", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of lion in new york" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth model for the animal concept trained by DeadBeast on the DeadBeast/dreambooth-images dataset.
This is a Stable Diffusion model fine-tuned on the animal concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of animal dog
Description
This is a Stable Diffusion model fine-tuned on random animal,birds unsplash images for the animals theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('DeadBeast/random-animals-birds')
image = pipeline().images[0]
image
- Downloads last month
- 4