Instructions to use iynoki/sd-class-beans-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iynoki/sd-class-beans-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iynoki/sd-class-beans-32", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Model Card for Unit 1 of the [Diffusion Models Class ](https://github.com/huggingface/
This model is a diffusion model for unconditional image generation of cute .
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('iynoki/sd-class-beans-32')
image = pipeline().images[0]
image
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