Instructions to use GaryGeGe/addsky-train-0.2-0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaryGeGe/addsky-train-0.2-0.5 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-0.2-0.5", 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:
- b214a05424947b83df452a69c90a2088d461333ce68b3fcb718b25412dcdbdea
- Size of remote file:
- 3.44 GB
- SHA256:
- 928b7ba4db3aa85199ec92a3a719ace7d5223b82f8780610479d1bc79995b085
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