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
- Draw Things
- DiffusionBee
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# install - 安装教程
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1. 将XXX.ckpt模型
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2. 模型自带VAE如果你的程序无法加载请记住选择任意一个VAE文件,否则图形将为灰色 - The model comes with VAE. If your program cannot be loaded, please remember to select any VAE file, otherwise the drawing will be gray
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# install - 安装教程
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1. 将XXX.ckpt模型放入SD目录 - Put XXX.ckpt model into SD directory
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2. 模型自带VAE如果你的程序无法加载请记住选择任意一个VAE文件,否则图形将为灰色 - The model comes with VAE. If your program cannot be loaded, please remember to select any VAE file, otherwise the drawing will be gray
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