Instructions to use GraydientPlatformAPI/atomixpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/atomixpony 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/atomixpony", 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:
- 050627ea468381ec0da4e30e00c3330b3a7d6fd8c3c1bcf23a0db4e5178eb2b3
- Size of remote file:
- 246 MB
- SHA256:
- 2bdfbbdb39caa6408314160df94461d9835093a97e46acf28d0721df08e16d83
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