Instructions to use Chandan005/Dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chandan005/Dummy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chandan005/Dummy", 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:
- e1c1b50d6e55463969b4415e0667ad2fa8e3722cfcbaac0985cd828d334bc9c8
- Size of remote file:
- 74.2 MB
- SHA256:
- 4e4ac6799b99e4e7a0d7d0a835d48f2c3bb3fd08dc019c67c9a9f8dda8c8cdea
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