Instructions to use GraydientPlatformAPI/raemux81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemux81 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/raemux81", 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:
- 2e5300490ee8ed8c90bd17ca57ff890928227dfc70e1619f03f380f5aec7bfd0
- Size of remote file:
- 1.72 GB
- SHA256:
- 06bc086be8df47f686e771779710f209d752bd48b16d9f46f479c29e886b7fc0
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