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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 824dfa05c576a7b1897ed6c4e076fcb8aef8cf899ad8a0e084fdf4e09ec154fe
- Size of remote file:
- 1.39 GB
- SHA256:
- 8fc7a42c04e5074f61fc7f08bcd3fce8954f49b793919d1dedfa5f92764daab1
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