Liuqh12
Liuqh12
You can add ControlNet to StreamDiffusion as follow: 1. uninstall streamdiffusion in your env:```pip uninstall streamdiffusion``` 2. prepare your ControlNet, such as: ```python openpose_pre_train_path = r"D:\lqh12\a-sd-based-models\sd-controlnet-openpose" openpose = OpenposeDetector.from_pretrained(r'D:\lqh12\a-sd-based-models\lllyasviel-ControlNet') o_image...
**Version** torchinfo==1.8.0 **Above all** Empty-Vectors mean: ```python ev = torch.rand([]) ``` which: ``` ev.shape=torch.Size([]) type(ev)=torch.Tensor ``` **To Reproduce** ```python from diffusers import StableDiffusionPipeline import torch from torchinfo import summary pipe...
I train myself ControlNet according to [tutorial_train.py](https://github.com/lllyasviel/ControlNet/blob/main/tutorial_train.py). After training, I got ```my_cn.ckpt```, size about 8G. ```my_cn.ckpt``` can load, run and get expected results by [gradio_scribble2image.py](https://github.com/lllyasviel/ControlNet/blob/main/gradio_scribble2image.py) , just update: ```python model.load_state_dict(load_state_dict('./models/my_cn.ckpt',...