Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use Evanlin2005/cute-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Evanlin2005/cute-cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Evanlin2005/cute-cat", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of cute cat in the NBA" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 929 Bytes
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license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of cute cat in the NBA
---
# DreamBooth model for the cute concept trained by Evanlin2005 on the Evanlin2005/Cat_dataset dataset.
This is a Stable Diffusion model fine-tuned on the cute concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of cute cat**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
## Description
This is a Stable Diffusion model fine-tuned on `cat` images for the animal theme.
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Evanlin2005/cute-cat')
image = pipeline().images[0]
image
```
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