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:
- 6d6aa130a295d1d7a713981bfff15c16337cd953ea67eef034f13d42840b4835
- Size of remote file:
- 4.79 kB
- SHA256:
- 178013532957002c570b66876a3075db5487e9ca63159ad81f2aac8948120ffe
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