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", torch_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:
- 63e917283c335b00bbf344e2aed881969d809d810b070e79c6704294c7434518
- Size of remote file:
- 167 MB
- SHA256:
- 7108c73d58c328d33631f53baf4dc1077c9f6fab7fc522af82595e2364c2c3ee
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