Instructions to use GaryGeGe/addsky-train-neg0.2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaryGeGe/addsky-train-neg0.2-1 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-neg0.2-1", 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:
- a8c0bc20f3572cd77cb45483d7b8839659d9b40da85f6526934faacc4cc9e4e4
- Size of remote file:
- 3.44 GB
- SHA256:
- e06a8f1eb9da4e342c43bd95808afb516c6af7388f4e50a9a4c774ed7a9de3c0
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