Instructions to use GraydientPlatformAPI/ohara4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ohara4 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/ohara4", 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:
- 182240cb3d79090f9074eba69abb125468b85d081657517eb372e0a5a2b128c9
- Size of remote file:
- 1.39 GB
- SHA256:
- 106d75c08c1ba1409fdd405b8801f2809610aee5260d5fdd9c399d9d91d59126
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