Instructions to use SupraLabs/SupraMNIST-0.1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SupraLabs/SupraMNIST-0.1M with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SupraLabs/SupraMNIST-0.1M", 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
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: apache-2.0
datasets:
- ylecun/mnist
pipeline_tag: text-to-image
library_name: diffusers
tags:
- diffusion
- t2i
- supra
- axionlab
- lh-tech
- 100k
- low
- cpu
- gpu
- harley-ml