Instructions to use GraydientPlatformAPI/ronhua4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ronhua4 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/ronhua4", 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:
- 5349ddb2fe67071cd9417c08d505b9e1fea2e6940874e3c5b13f97ebe06e4c94
- Size of remote file:
- 5.14 GB
- SHA256:
- 13b088fb36ebfeedc9c1f283f9061741f2a53ae20b4cc5c830697e148ac8c5c9
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