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:
- daf5d2972c28645c49579af7fa5297bec4a59163d3f70a15a218ac0e0a4edc73
- Size of remote file:
- 1.39 GB
- SHA256:
- 5e621d6e802c27f1c42bf6ae667b9787b81879958b524c510863bf5aa61050c1
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