Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
Instructions to use benlehrburger/animal-image-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benlehrburger/animal-image-generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("benlehrburger/animal-image-generation", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model with special identifier for my pet rabbit, Nala.
This is a Stable Diffusion model fine-tuned with DreamBooth. It can be used by modifying the instance_prompt: a photo of Nala the bunny in the Acropolis
Description
This is a Stable Diffusion model fine-tuned on images of my pet rabbit, Nala.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('benlehrburger/animal-image-generation')
image = pipeline().images[0]
image
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