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
- Draw Things
- DiffusionBee
- Xet hash:
- ddb2b84bff8fedd4f909d54e5e95d5d2fd5db7ec06c025fc655ab89221a3bbc7
- Size of remote file:
- 167 MB
- SHA256:
- 0125844e0830bc91d091f611bc955bdbc2e02bb2dfc9f56e93310ef2935dd9fc
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