Instructions to use GraydientPlatformAPI/mixpony3010nc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mixpony3010nc 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/mixpony3010nc", 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:
- 2e34f55921c2032ba54cf66c8de6e2788e8e169b8981a11c64d893a99ee5e6a8
- Size of remote file:
- 1.39 GB
- SHA256:
- 7778f45e9164c386186f611dcdc3203375e9719188b7934a50799d0d9ab9169d
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