Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use Allen458/toy_fox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Allen458/toy_fox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Allen458/toy_fox", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of kstm toy fox in the Acropolis" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of kstm toy fox in the Acropolis
DreamBooth model for the kstm concept trained by Allen458 on the custom_toy_fox_dataset dataset.
This is a Stable Diffusion model fine-tuned on the kstm concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of kstm toy fox
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a custom model trained on my toy fox images.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Allen458/toy_fox')
image = pipeline().images[0]
image