Instructions to use Snapmap/diffcheckstuffiused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Snapmap/diffcheckstuffiused with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Snapmap/diffcheckstuffiused", 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
- Xet hash:
- 36bdc64a8a3f75ffe53551ac606f3c0cd14c8ea11676ab4fec0d0cf43b321bbd
- Size of remote file:
- 67 MB
- SHA256:
- e1a73bd89c2da1ae494774746398689048b5a892bd9653e146713f9df8bca86a
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