Instructions to use xiaolxl/GuFeng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaolxl/GuFeng with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiaolxl/GuFeng", 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:
- f34155839861144d2ae792331852f8a7da7980aaeabf94c85e07760fa39fbc6b
- Size of remote file:
- 1.13 MB
- SHA256:
- 3f29f8416a86888f7d06cf23af2204a8adb95aad608d09f2b832399a0e8de85b
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