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 text_encoder/pytorch_model.bin from xiaolxl/Gf_style2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/xiaolxl/Gf_style2/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://xiaolxl/Gf_style2@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/xiaolxl/Gf_style2/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 3657e266696b3fee4578bd217375c38e48f3a82aeab6f89b77b902e41e60e31f
- Size of remote file:
- 492 MB
- SHA256:
- efa37cc0f94b0fbc44e7d2a4b01ba22c7a1b1339d2973164671c9110a2a0657a
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