Instructions to use GraydientPlatformAPI/ponylin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ponylin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/ponylin", 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:
- b4c4f40c94e1a00d0660e78e3e6c58a79b3b297c81aef1bd061565db7b7031bc
- Size of remote file:
- 5.14 GB
- SHA256:
- 75530f598511d7b70a326faef43e7f9f3b390bedce1c983a016c04149942dd2a
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