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:
- db50f4ad8853bb5dff6d526c5d005b2e855ae8ebfcc5a6f3bf4777d1134a36af
- Size of remote file:
- 20.1 MB
- SHA256:
- 94d368b633614958f84f335b129fd85abd30200e8fbc575b859ba6762116222b
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