Instructions to use GraydientPlatformAPI/noesc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/noesc 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/noesc", 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:
- a3c6f4298c4a3df2568f9db32f2a3f4089b908f8dc6020b4306b3b445aef4e78
- Size of remote file:
- 246 MB
- SHA256:
- 2653fbfe9e40ca37e56c0568da5b7bcb1047ad83476fb04ee2e5c3e7acf52494
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.