Instructions to use GraydientPlatformAPI/xiaofan-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/xiaofan-v6 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/xiaofan-v6", 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:
- 9266e7ae9f9569c00440fc96a80903b381aebf84d75b781953c09333c1e1fda0
- Size of remote file:
- 5.14 GB
- SHA256:
- 92b67af0b1f100e2c0cb5bb29d6abe45b2ea9ac12b576c6a60275ece294d9dc7
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