Instructions to use WhiteAiZ/PonyXL_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WhiteAiZ/PonyXL_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WhiteAiZ/PonyXL_diffusers", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 39b29de1cc62b4fe3d023c14d721216dc2fcc98760ff3d4f4c9ef465c2af5851
- Size of remote file:
- 492 MB
- SHA256:
- 87c1c0b0894c9e9e10b962e597e8d64dd3a3a2d372c389922b335a53c250b2ae
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