Instructions to use reneeice/jackass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reneeice/jackass with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("reneeice/jackass", 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:
- db88926d21276522dbe673390b03414a1dc82c87a01a53f2d0d599d5c2b58d03
- Size of remote file:
- 508 MB
- SHA256:
- 607a29cab29d8c5fa976f308bd85d47966e010a5223a8d7704cf7bc119aa494c
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