Instructions to use GraydientPlatformAPI/raemu10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemu10 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/raemu10", 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:
- 16fd2a18611df7b562c26536160f3c069b662f9fe29e0f2c580e101cee1e82c5
- Size of remote file:
- 1.72 GB
- SHA256:
- 089215131cf1e83890de3758962c76f0ece6dddf4558464700dad460bf16d39f
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