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
- Draw Things
- DiffusionBee
- Xet hash:
- c517dbf6f6b36d441b8428373d896930975bb1a675d8bc7f40db08275a2fddf7
- Size of remote file:
- 167 MB
- SHA256:
- 10ee07e6e55b4e2706a8153bbe234eb843f60546605ae1f0a5f9172d2bc51be4
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