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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dfdc050df01762513cf34a342d68410b20bde51777ddc9b1909d83190b77b119
- Size of remote file:
- 1.72 GB
- SHA256:
- e0d02e28533458dc6f91f3595598fcd8106cd5523628e956374046a97e49a9a9
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