Instructions to use GraydientPlatformAPI/data-finalpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/data-finalpony 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/data-finalpony", 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:
- 4b3ce304e95c674afb8b487e741047433142b86e867633eaa3f45b46dd3fc456
- Size of remote file:
- 1.39 GB
- SHA256:
- 1c6cac59a1bf5be296e91b009ff8bb7118a608c147da101ab25b76e0bb4c96e0
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