From 2615b5a486fc652f24013ad573e1c67f6cfc2219 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=88=98=E9=9B=AA=E5=B3=B0?= <lldacing@163.com>
Date: Mon, 6 Jan 2025 18:11:04 +0800
Subject: [PATCH] update README and version

---
 README.md      | 10 ++++++++++
 README_CN.md   | 10 ++++++++++
 pyproject.toml |  2 +-
 3 files changed, 21 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 461c11d..dd90cb2 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,9 @@
 
 Support the use of new and old versions of BiRefNet models
 
+## Important
+Due to the standardization of naming in [PR-14](https://github.com/lldacing/ComfyUI_BiRefNet_ll/pull/14), the old workflow needs to add nodes again, which has no impact on the API JSON format workflow
+
 ## Preview
 ![save api extended](doc/base.png)
 ![save api extended](doc/video.gif)
@@ -67,6 +70,13 @@ Some models on GitHub:
   - 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)
 - RembgByBiRefNet
+  - Output transparent foreground image and mask
+- RembgByBiRefNetAdvanced
+  - Output foreground image and mask, provide some fine-tuning parameters
+- GetMaskByBiRefNet
+  - Only output mask
+- BlurFusionForegroundEstimation
+  - Use the [fast-foreground-estimation method](https://github.com/Photoroom/fast-foreground-estimation) to estimate the foreground image
 
 ## Thanks
 
diff --git a/README_CN.md b/README_CN.md
index dc78155..6fab574 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -2,6 +2,9 @@
 
 支持使用新老版本BiRefNet模型进行抠图
 
+## 重要
+在[PR-14](https://github.com/lldacing/ComfyUI_BiRefNet_ll/pull/14)对命名进行了规范化，旧工作流需要重新添加节点，对api json格式工作流无影响
+
 ## 预览
 ![save api extended](doc/base.png)
 ![save api extended](doc/video.gif)
@@ -68,6 +71,13 @@ GitHub上的模型：
   - 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
+  - 输出透明前景图和遮罩
+- RembgByBiRefNetAdvanced
+  - 输出前景图和遮罩，提供一些微调参数
+- GetMaskByBiRefNet
+  - 仅输出遮罩
+- BlurFusionForegroundEstimation
+  - 使用[fast-foreground-estimation](https://github.com/Photoroom/fast-foreground-estimation)方法预估前景图
 
 ## 感谢
 
diff --git a/pyproject.toml b/pyproject.toml
index ea4f987..f3bd6a1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_birefnet_ll"
 description = "Sync with version of BiRefNet. NODES:AutoDownloadBiRefNetModel, LoadRembgByBiRefNetModel, RembgByBiRefNet, RembgByBiRefNetAdvanced, GetMaskByBiRefNet, BlurFusionForegroundEstimation."
-version = "1.0.8"
+version = "1.0.9"
 license = {file = "LICENSE"}
 dependencies = ["numpy", "opencv-python", "timm"]