Instructions to use GraydientPlatformAPI/raemu4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemu4 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/raemu4", 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:
- 4f32708a2352dc5a7aaa3cb20f60e05cf94d66d372de1e3af8abc6a9c7e7e8d4
- Size of remote file:
- 5.14 GB
- SHA256:
- b954ca2f33be8ee51d8c623bfd812274726ca1b9195c58e4b182997259a41bd4
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