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
- Draw Things
- DiffusionBee
- Xet hash:
- 10f2a87dd1884db5f042488f517aceb9fc0cd9815d8e0c2cf4c301d24db81bb8
- Size of remote file:
- 1.39 GB
- SHA256:
- a5df7cbb09cf4a762d98ce1ea724d68034f97e175ab1c003b7e59f3c59e8241e
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