Instructions to use Shriramnag/shiv-ai-wan-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shriramnag/shiv-ai-wan-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shriramnag/shiv-ai-wan-model", 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:
- 36f7b1cbc8b21a2faf9993906e033de586776a6d1b396fa391ceab12cbc84f63
- Size of remote file:
- 1.55 MB
- SHA256:
- 9a0e86ca85046d2675f97984b88b6e74df07bba8a62a31ab8a1aef50d4eda44e
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