Instructions to use GraydientPlatformAPI/model_112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_112 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/model_112", 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:
- 4c46a4d2ea62fc477b808a9a2c5b2f8385617c652fbb1261557944a38d4d0c2f
- Size of remote file:
- 3.44 GB
- SHA256:
- d2918811a8ea043ee8e3b9343148dcb4fa29bf2fd0bcc8004c7cd08e7c00b68e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.