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:
- 686a2183c8728b41d5cc134d7fe704560164db0c8084ddbab63bb046246cd139
- Size of remote file:
- 246 MB
- SHA256:
- 039d94e1c9963203577d1e57baf61bffc50b7ab29427a658f76d337e8c217ae3
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