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
- Xet hash:
- 1c7fb2ca399b6c9d1f0e2f7d0cf4361e1fe33118e5af81776ceecf055d7b139b
- Size of remote file:
- 862 kB
- SHA256:
- 818797a818802e6185a5ed19a2a6227253263064d355385e3a6f5944c61c2450
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