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:
- 73fd8333661712589d815ebe0595b68687eba31a07f13da4244014ba26eaa678
- Size of remote file:
- 74.2 MB
- SHA256:
- ab9c17b06c865cfc3d12ce253f12f55b73d35ea5b0068e6d26382bb09a05aec6
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