namespace Onnx_Demo { public partial class Form1 : Form { public Form1() { InitializeComponent(); } string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png"; string image_path = ""; DateTime dt1 = DateTime.Now; DateTime dt2 = DateTime.Now; string model_path; Mat ima...
git clone https://huggingface.co/CompVis/stable-diffusion-v1-4 git lfs install cd stable-diffusion-v1-4 git lfs pull You should downloading weights using git lfs large file system, the model about 3GB. To make unet_2d_condition in stablefusion able to export to onnx, make some modificat...
插件安装脚本的位置是在WebUI的extensions目录插件名字对应目录中。 reactor的安装脚本中显示,它需要人脸识别模型文件inswapper_128.onnx 国内非科学上网的方式无法访问huggingface网站,这就需要使用huggingface的镜像站点:https://hf-mirror.com/。或者搜索并使用国内用户分享在网盘内的资源文件。 PS:仔细观察插件目录内的...
新人求助,onnxr..自己装的python,启动的时候总是提示No module named 'onnxruntime',我明明已经安装了啊,是版本的问题吗
随着AI技术的飞速发展,生成式模型如StableDiffusion在图像创作、设计等领域展现出巨大潜力。然而,这些大模型通常伴随着高昂的计算成本和存储需求。为了提升模型在实际应用中的效率和可部署性,Int8量化和ONNX导出成为重要的优化手段。本文将详细介绍StableDiffusion模型的Int8量化过程及ONNX导出流程,帮助读者实现模型的高效推...
1.基于 onnxruntime,将 StableDiffusionInpaintPipeline、StableDiffusionControlNetImg2ImgPipeline(stablediffusion + controlnet + LoRa) C++工程化;
Checklist The issue exists after disabling all extensions The issue exists on a clean installation of webui The issue is caused by an extension, but I believe it is caused by a bug in the webui The issue exists in the current version of ...
Cons of the ONNX Runtime Engineering overhead. Compared to the alternative of running inference directly in PyTorch, the ONNX runtime requires compiling your model to the ONNX format (which can take 20–30 minutes for a Stable Diffusion model) and installing the runtime itself. ...
Intro Diffusers provides a Stable Diffusion pipeline compatible with the ONNX Runtime. This allows you to run Stable Diffusion on any hardware that supports ONNX (including CPUs), and where an accelerated version of PyTorch is not availa...
实现Model CPU Offload的代码非常简单: pipe = AutoPipelineForText2Image.from_pretrained( 'stabilityai/stable-diffusion-xl-base-1.0', use_safetensors=True, torch_dtype=torch.float16, variant='fp16',).to('cuda')pipe.enable_model_cpu_offload()generator = torch.Generator(device='cuda')for i, ge...