Instructions to use Kruk2/sd-15-jav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kruk2/sd-15-jav with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kruk2/sd-15-jav", 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:
- 41c6c176338234aa5929fd824383a01871ebc7b7d612f23a486a0f7a59f92213
- Size of remote file:
- 238 kB
- SHA256:
- 7779bf887c093d8948ebc8195570bd158ed060e0e9f23a9ea1d6a5f4b6e6d4a0
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