Instructions to use GraydientPlatformAPI/raemu6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemu6 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/raemu6", 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:
- 708652c3cc0339192c01d52af6ce91824dd350890d0447b289cd805b3481db3f
- Size of remote file:
- 1.72 GB
- SHA256:
- f56900890f595c0c62703717104637c5b1b4ac2a67137665b3bd99d8f1ebc2ca
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