Instructions to use Jeroenvv1985/Supertrap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jeroenvv1985/Supertrap with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jeroenvv1985/Supertrap", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9257f3fc36d627998b2a1a4c32e69f67c6f65cff011ee75f9adf9767cc6ba0c7
- Size of remote file:
- 335 MB
- SHA256:
- da6805c7e730c8c3f6770d632c979b9f3b699b022411b4a1dba99bb4d7e06c19
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