Instructions to use tensorkelechi/sky_diffuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorkelechi/sky_diffuse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensorkelechi/sky_diffuse", 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:
- 9bed3aa504bb020eeb01189824f8278669fdd11d1a3fed3230ce91ffcad31e2c
- Size of remote file:
- 37.1 MB
- SHA256:
- 38c2ea270e20f1a0cb82f66ab4b726f9cc270eceee3d8adc76c450dbbd844f9f
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