nodes/lldacing-ComfyUI_BiRefNet_ll
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix ambiguous model paths

Browse Source
This commit is contained in:
刘雪峰
2024-10-26 18:47:13 +08:00
parent ae2e1cd8b2
commit 47fd1f8189
2 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+3 -3
View File
@@ -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 `${comfyui_rootpath}/models/BiRefNet` or the path of `birefnet` configured in the extra YAML file
- You can download latest models from [BiRefNet Releases](https://github.com/ZhengPeng7/BiRefNet/releases) or old models [BiRefNet-DIS_ep580.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-DIS_ep580.pth) and [BiRefNet-ep480.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/BiRefNet-ep480.pth)
- When param use_weight is True, need download weight model [swin_large_patch4_window12_384_22kto1k.pth](https://huggingface.co/ViperYX/BiRefNet/resolve/main/swin_large_patch4_window12_384_22kto1k.pth)
model General-Lite must use weight model [swin_tiny_patch4_window7_224_22kto1k_finetune.pth](https://drive.google.com/drive/folders/1cmce_emsS8A5ha5XT2c_CZiJzlLM81ms)
README_CN.md
+3 -3
View File
@@ -33,7 +33,7 @@
- COD: 一种用于隐蔽目标检测（COD）的预训练模型。
- DIS-TR_TEs: 具有大量数据集的预训练模型。
模型文件放在`models/BiRefNet`（当使用AutoDownloadBiRefNetModel时，则会自动下载模型）.
模型文件放在`${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