Instructions to use GraydientPlatformAPI/tamepony2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/tamepony2 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/tamepony2", 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:
- d8c4bab22fb55f737766e7ead434e6c162b95e263aae0710b75a23980e046450
- Size of remote file:
- 1.39 GB
- SHA256:
- 531caf90741624dc2f03ee0d73fb69efda829f9695e2bab67407bb1dc2c79a5b
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