Instructions to use GaryGeGe/addsky-train-0-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaryGeGe/addsky-train-0-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GaryGeGe/addsky-train-0-2", 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:
- d2e4f084c7ed4bc27c4bc1b31064dcfb876fbe1cb02ec5db3c0160c68b5d25d5
- Size of remote file:
- 3.44 GB
- SHA256:
- 35495f71989085bee521893c05a89b02d25e3a4f805f120eab8c65e31bd37a4a
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