Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use lazzdw/fatyoshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lazzdw/fatyoshi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lazzdw/fatyoshi", dtype=torch.bfloat16, device_map="cuda") prompt = "fatchonkyyoshi, by van gogh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for fatchonkyyoshi trained by lazzdw on the lazzdw/fatyoshi-dreambooth-hackathon-images dataset.
This is a Stable Diffusion model fine-tuned on the fatchonkyyoshi concept with DreamBooth. It can be used by modifying the instance_prompt: fatchonkyyoshi
This model was created as part of the DreamBooth Hackathon ๐ฅ. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on fatyoshi images for the wildcard theme. Fat Yoshi is also known as Big Yoshi. Inspired by one of my favourite playlists https://www.youtube.com/watch?v=g9gHC2quF3A. Go check it out ๐
Images generated by model
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('lazzdw/fatyoshi')
image = pipeline().images[0]
image
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