Instructions to use GraydientPlatformAPI/ohmen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ohmen2 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/ohmen2", 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:
- f084ecf03954cef5efaeb43e3b2e555b9b83f153b99743113c09360a0ae3b7f3
- Size of remote file:
- 1.72 GB
- SHA256:
- 4799fa5c1fe30c598192fb2202c78ef1e564e27cc36cae5ad2e5932b7754ed7e
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