update README and version
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Support the use of new and old versions of BiRefNet models
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## Important
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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
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## Preview
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@@ -67,6 +70,13 @@ Some models on GitHub:
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- 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)
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model General-Lite must use weight model [swin_tiny_patch4_window7_224_22kto1k_finetune.pth](https://drive.google.com/drive/folders/1cmce_emsS8A5ha5XT2c_CZiJzlLM81ms)
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- RembgByBiRefNet
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- Output transparent foreground image and mask
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- RembgByBiRefNetAdvanced
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- Output foreground image and mask, provide some fine-tuning parameters
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- GetMaskByBiRefNet
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- Only output mask
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- BlurFusionForegroundEstimation
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- Use the [fast-foreground-estimation method](https://github.com/Photoroom/fast-foreground-estimation) to estimate the foreground image
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## Thanks
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支持使用新老版本BiRefNet模型进行抠图
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## 重要
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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
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## 预览
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@@ -68,6 +71,13 @@ GitHub上的模型:
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- 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)
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- 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)
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- RembgByBiRefNet
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- 输出透明前景图和遮罩
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- RembgByBiRefNetAdvanced
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- 输出前景图和遮罩,提供一些微调参数
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- GetMaskByBiRefNet
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- 仅输出遮罩
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- BlurFusionForegroundEstimation
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- 使用[fast-foreground-estimation](https://github.com/Photoroom/fast-foreground-estimation)方法预估前景图
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## 感谢
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+1
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[project]
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name = "comfyui_birefnet_ll"
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description = "Sync with version of BiRefNet. NODES:AutoDownloadBiRefNetModel, LoadRembgByBiRefNetModel, RembgByBiRefNet, RembgByBiRefNetAdvanced, GetMaskByBiRefNet, BlurFusionForegroundEstimation."
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version = "1.0.8"
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version = "1.0.9"
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license = {file = "LICENSE"}
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dependencies = ["numpy", "opencv-python", "timm"]
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