Instructions to use Pixel-Dust/pixelstable1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pixel-Dust/pixelstable1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pixel-Dust/pixelstable1.5", 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:
- d98ee839bba0b37538729df8c07d67eec7c06775338a21766809d8075bab31da
- Size of remote file:
- 492 MB
- SHA256:
- 1253fcc8a7e7c8024b0ccb4360ce7eec7b0c23887b1bc47e9e27e99212592299
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