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:
- 94b78183b3894d2cb2a027519391b3ec3a8856829479dde921abc48f48c3eeb0
- Size of remote file:
- 246 MB
- SHA256:
- ec6a3e66ce7820869c86cd613d276d4bd5083322193fd723f1d49f4fce4dbc66
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