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:
- c300df8b040480e9c3b03bbca8f36dee59ec0443b5af41dcc3594c851c544c76
- Size of remote file:
- 246 MB
- SHA256:
- b53cf9ce673e9fc96641eae52c46272e0a82858fc6f3ff095a1c023b515fc73b
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