Instructions to use GraydientPlatformAPI/yam-real3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yam-real3 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-real3", 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:
- 5f375b15af428f79e491f2d30efddc4ec6d0147b3097983ee5f95300805787c1
- Size of remote file:
- 1.39 GB
- SHA256:
- 29194e441b5ea95b863694d054560de3eb8c051dd8b0984d6650e7f046d5447d
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