Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use MouseTrap/maow-maow-machine-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MouseTrap/maow-maow-machine-v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MouseTrap/maow-maow-machine-v3", dtype=torch.bfloat16, device_map="cuda") prompt = "a drawing of Mr. Maow Maow cat in outer space" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth model for the Mr. Maow Maow concept trained by MouseTrap on the MouseTrap/maow-maow-dataset-v3 dataset.
This is a Stable Diffusion model fine-tuned on the Mr. Maow Maow drawings using DreamBooth. It can be used by modifying the instance_prompt: a drawing of Mr. Maow Maow cat
Description
Introducing Maow Maow Machine v3! This is a Stable Diffusion model fine-tuned on Mr. Maow Maow drawings by MouseTrap (me).
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('MouseTrap/maow-maow-machine-v3')
image = pipeline().images[0]
image
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