Instructions to use xiaolxl/Diffusers_Guofeng4.2XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaolxl/Diffusers_Guofeng4.2XL 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/Diffusers_Guofeng4.2XL", 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:
- 359b3ac5bcc3cbf3d9aaeca611fc4328ae126e5412bc886ed6b2bce4ccd8be00
- Size of remote file:
- 2.78 GB
- SHA256:
- cd4081269a68698322eca379f2ac0b31812a7641de2df19a42ebb8171d1c5a4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.