Instructions to use GraydientPlatformAPI/newprony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/newprony 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/newprony", 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:
- cd0c33c78eb351963cd251b116b7cd4d3910d419ed31de577ab0f7ed166f7603
- Size of remote file:
- 167 MB
- SHA256:
- e3393833430c9adc477ae2e7b321755e48e15b8a9b3db6f165fe8976a9859589
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