Instructions to use GraydientPlatformAPI/yam-real5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yam-real5 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/yam-real5", 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:
- 14f063ac6625d11fcd590c0560550d43c0aaec0bc33b1e910cdb777c1d022515
- Size of remote file:
- 246 MB
- SHA256:
- cb031978098befee970d17e6a8a12e1c1b5519adf5b82bcc1fedc9b95bc538e7
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