Instructions to use xiaolxl/Gf_style2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaolxl/Gf_style2 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/Gf_style2", 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
Download GuoFeng2Mix+.ckpt from xiaolxl/Gf_style2: direct link, hf CLI and curl.
- Browser
- Download file 4.27 GB
-
https://huggingface.co/xiaolxl/Gf_style2/resolve/main/GuoFeng2Mix%2B.ckpt
- Command line
-
hf download hf://xiaolxl/Gf_style2/GuoFeng2Mix+.ckpt
-
curl -L -o GuoFeng2Mix+.ckpt https://huggingface.co/xiaolxl/Gf_style2/resolve/main/GuoFeng2Mix%2B.ckpt
4.27 GB
- Xet hash:
- b64ce53b3ecf86f62a67f0f9fefc4925c1f728f7f03967521ba999f48e6e26b3
- Size of remote file:
- 4.27 GB
- SHA256:
- 58f3d02855594e1c9cc3601a58ed99402b7a3ccc1be43225df6f80a36be18b4f
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