Instructions to use GraydientPlatformAPI/raemu-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemu-xl 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/raemu-xl", 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:
- 02906ff2186f78bca7c96f7db1756dc6afd7c7224eae80d20c3d943122efa4ff
- Size of remote file:
- 1.39 GB
- SHA256:
- 8d10807b191be2dc56bd47a9897daf3bc09ad9798c39d49f12214a035b42313b
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