Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use akanametov/stuart-minion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akanametov/stuart-minion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akanametov/stuart-minion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of stuart minion on the Moon" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from akanametov/stuart-minion: direct link, hf CLI and curl.
- Browser
- Download file 994 Bytes
-
https://huggingface.co/akanametov/stuart-minion/resolve/main/README.md
- Command line
-
hf download hf://akanametov/stuart-minion/README.md
-
curl -L -o README.md https://huggingface.co/akanametov/stuart-minion/resolve/main/README.md
994 Bytes
metadata
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
datasets: akanametov/minions-dataset
widget:
- text: a photo of stuart minion on the Moon
DreamBooth model for the stuart concept trained by akanametov on the akanametov/minions-dataset dataset.
This is a Stable Diffusion model fine-tuned on the stuart concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of stuart minion
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 Stable Diffusion model fine-tuned on minion images for the wildcard theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('akanametov/stuart-minion')
image = pipeline().images[0]
image