Instructions to use swl-models/wind-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use swl-models/wind-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("swl-models/wind-v2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4d3c76eb92578c16381a8604bbda181927be45a5d0092beefa384704cf64b918
- Size of remote file:
- 492 MB
- SHA256:
- b5760917d37733ab2eff303686e590ad9af05fa1c0318e734dfc9c7dd5276e77
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