Instructions to use GraydientPlatformAPI/queenrealism2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/queenrealism2 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/queenrealism2", 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:
- ad7b02abaf405f56d2c1adebf495fbbaeab069580f174701e8a161bf91ef6740
- Size of remote file:
- 246 MB
- SHA256:
- 600c37b828b9fbf6f3e2b42015524f3cadecaded5b6f7c4ccc9f4dab5a1f381e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.