diff --git a/README.md b/README.md index 3cf57ba..28eb6b9 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ Support the use of new and old versions of BiRefNet models - COD: A pre-trained model for concealed object detection (COD). - DIS-TR_TEs: A pre-trained model with massive dataset. -Model files go here (when use AutoDownloadBiRefNetModel automatically downloaded if the folder is not present during first run): `models/BiRefNet`. +Model files go here (when use AutoDownloadBiRefNetModel automatically downloaded if the folder is not present during first run): `${comfyui_rootpath}/models/BiRefNet`. If necessary, they can be downloaded from: - [General](https://huggingface.co/ZhengPeng7/BiRefNet/resolve/main/model.safetensors) ➔ `model.safetensors` must be renamed `General.safetensors` @@ -60,9 +60,9 @@ Some models on GitHub: ## Nodes - AutoDownloadBiRefNetModel - - Automatically download the model into `models/BiRefNet`, do not support weight model + - Automatically download the model into `${comfyui_rootpath}/models/BiRefNet`, do not support weight model - LoadRembgByBiRefNetModel - - Can select model from `models/BiRefNet` or the path of `birefnet` configured in the extra YAML file + - Can select model from `${comfyui_rootpath}/models/BiRefNet` or the path of `birefnet` configured in the extra YAML file - You can download latest models from [BiRefNet Releases](https://github.com/ZhengPeng7/BiRefNet/releases) or old models [BiRefNet-DIS_ep580.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-DIS_ep580.pth) and [BiRefNet-ep480.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-ep480.pth) - When param use_weight is True, need download weight model [swin_large_patch4_window12_384_22kto1k.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/swin_large_patch4_window12_384_22kto1k.pth) model General-Lite must use weight model [swin_tiny_patch4_window7_224_22kto1k_finetune.pth](https://drive.google.com/drive/folders/1cmce_emsS8A5ha5XT2c_CZiJzlLM81ms) diff --git a/README_CN.md b/README_CN.md index 246cffc..86cfe22 100644 --- a/README_CN.md +++ b/README_CN.md @@ -33,7 +33,7 @@ - COD: 一种用于隐蔽目标检测(COD)的预训练模型。 - DIS-TR_TEs: 具有大量数据集的预训练模型。 -模型文件放在`models/BiRefNet`(当使用AutoDownloadBiRefNetModel时,则会自动下载模型). +模型文件放在`${comfyui_rootpath}/models/BiRefNet`(当使用AutoDownloadBiRefNetModel时,则会自动下载模型). 也可以手动下载模型: - [General](https://huggingface.co/ZhengPeng7/BiRefNet/resolve/main/model.safetensors) ➔ `model.safetensors` 重命名为 `General.safetensors` @@ -62,9 +62,9 @@ GitHub上的模型: ## 节点 - AutoDownloadBiRefNetModel - - 自动下载模型到 `models/BiRefNet`,不支持权重 + - 自动下载模型到 `${comfyui_rootpath}/models/BiRefNet`,不支持权重 - LoadRembgByBiRefNetModel - - 从 `models/BiRefNet` 和 在extra YAML 文件中通过`birefnet`配置的路径中选择模型 + - 从 `${comfyui_rootpath}/models/BiRefNet` 和 在extra YAML 文件中通过`birefnet`配置的路径中选择模型 - 支持 [BiRefNet Releases](https://github.com/ZhengPeng7/BiRefNet/releases) 中的新模型 和 老的模型[BiRefNet-DIS_ep580.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-DIS_ep580.pth) 与 [BiRefNet-ep480.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-ep480.pth) - 参数use_weight设为True时, 需要下载权重模型,General-Lite模型使用[swin_tiny_patch4_window7_224_22kto1k_finetune.pth](https://drive.google.com/drive/folders/1cmce_emsS8A5ha5XT2c_CZiJzlLM81ms),其它模型使用 [swin_large_patch4_window12_384_22kto1k.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/swin_large_patch4_window12_384_22kto1k.pth) - RembgByBiRefNet