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
- Draw Things
- DiffusionBee
- Xet hash:
- 5dcc11182309b9a534ebd653c22d35a4d7f757dd08c25784fc2aedf29c5a491f
- Size of remote file:
- 1.39 GB
- SHA256:
- 5e29fa868623fe8373b73612a24c09c13598f5545336f9b4260f84a638f3ad89
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