Instructions to use levihsu/OOTDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levihsu/OOTDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("levihsu/OOTDiffusion", 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
ootd_dc model missing
#1
by XandiX - opened
Hello, please also upload the ootd_dc model.
Without this, the gradio demo does not work...
Thank you.
The ootd_dc model weights have been released. Thanks for your patience : )
当我运行github上代码时,报错checkpoints/ootd文件夹下缺少config.json,huggingface的该目录下并没有这个文件,请问能上传吗?
当我运行github上代码时,报错checkpoints/ootd文件夹下缺少config.json,huggingface的该目录下并没有这个文件,请问能上传吗?
checkpoints/ootd文件夹本就不含该文件 请检查你的所有代码和文件是否下载和放置正确
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