Image-to-Image
Diffusers
Safetensors
art
t2i-adapter
stable-diffusion-xl-diffusers
stable-diffusion-xl
Instructions to use TencentARC/t2i-adapter-openpose-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2i-adapter-openpose-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/t2i-adapter-openpose-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
生成效果没有达到SDXL模型的效果,有很大差距,是训练数据集不够大,还是其它原因?
2
#1 opened over 2 years ago
by
lxiaodao