Instructions to use GraydientPlatformAPI/zed-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/zed-12 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/zed-12", 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:
- 62a92a26c6452b7f623467656d240e17cd3f703b7db566ff797cff86fd012780
- Size of remote file:
- 246 MB
- SHA256:
- 5931dd77e963c01627cfa6ce5102dfd2506eb297de680ddcadb82d9af303039b
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