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
| 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 | |
| ## SupraIMG-0.1M | |