Instructions to use GraydientPlatformAPI/realitiesedge-turbo7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realitiesedge-turbo7 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/realitiesedge-turbo7", 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:
- 1be392fa186cce953c7084809a08a3cc7253ae0b7d0f62d29adc5da460eeb4d1
- Size of remote file:
- 246 MB
- SHA256:
- 459efadca4372a7ef1fd4f128eb91ed593c7d2ec8ef3895562f4126300a73189
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