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:
- 746a8327e8a6e9fb61e63c303005553e28acd39175d1fbf8eac4c42eaa537c7a
- Size of remote file:
- 246 MB
- SHA256:
- 5ca64e10c8942b8fd48ea640e37c7e00925b35ef4cebeae4e775c8fee33db396
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