Instructions to use GraydientPlatformAPI/raffaellox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raffaellox 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/raffaellox", 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:
- a43f80f68d9799e17bf5b7493afa82381d3b2e39576ec3745d09a889d254dde5
- Size of remote file:
- 246 MB
- SHA256:
- 98e98c9a25ae11ec0a8d99729f7d0d148293a2fcb7abf9018dd65c8341510889
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