Change file structure

MusePose/denoising_unet.pth

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MusePose/motion_module.pth

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MusePose/pose_guider.pth

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MusePose/reference_unet.pth

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README.md

@@ -3,40 +3,9 @@ license: creativeml-openrail-m
 language:
 - en
 ---
-# MusePose ComfyUI installation script
+# MusePose ComfyUI Checkpoints
 
-MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation. Zhengyan Tong,
-Chao Li,
-Zhaokang Chen,
-Bin Wu<sup>†</sup>,
-Wenjiang Zhou
-(<sup>†</sup>Corresponding Author, benbinwu@tencent.com)
-
-**[github](https://github.com/TMElyralab/MusePose)**    **[huggingface](https://huggingface.co/TMElyralab/MusePose)**    **space (comming soon)**    **Project (comming soon)**    **Technical report (comming soon)**
-
-# This is a script to quickly install MusePose ComfyUI node
-
-## Installation script
-
-Save the code to a script file like `install_musepose.sh` under the ComfyUI directory, and execute it (`source install_musepose.sh`) to install the node.
-```
-#!/bin/bash
-cd custom_nodes/
-rm -rf Comfyui-MusePose
-git clone https://github.com/TMElyralab/Comfyui-MusePose.git
-cd Comfyui-MusePose
-apt update
-apt install ffmpeg
-pip install -r requirements.txt
-pip install openmim
-mim install mmengine "mmcv>=2.0.1"  "mmdet>=3.1.0"  "mmpose>=1.1.0"
-pip install "diffusers<0.29"
-
-# Download weights
-huggingface-cli download --local-dir /tmp/download hoveyc/musepose
-rm -rf pretrained_weights
-mv /tmp/download/pretrained_weights .
-```
+Reuploading of all depending checkpoints for [ComfyUI-MusePose-Remaster](https://github.com/hoveychen/ComfyUI-MusePose-Remaster)
 
 If no errors occur, restart the ComfyUI and it should work.
 

dwpose/dw-ll_ucoco_384_bs5.torchscript.pt

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dwpose/yolox_l.torchscript.pt

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image_encoder/config.json

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+  "architectures": [
+    "CLIPVisionModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1"
+}

image_encoder/pytorch_model.bin

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sd-image-variations-diffusers/unet/config.json

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+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.9.0",
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "block_out_channels": [
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+    1280,
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+  "center_input_sample": false,
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dual_cross_attention": false,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
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+  "norm_eps": 1e-05,
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+  "num_class_embeds": null,
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+  "up_block_types": [
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "use_linear_projection": false
+}

sd-image-variations-diffusers/unet/diffusion_pytorch_model.bin

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sd-vae-ft-mse/config.json

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+  "act_fn": "silu",
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