fix typo & upload configs

app.py

@@ -168,7 +168,7 @@ with gr.Blocks(theme=gr.themes.Origin()) as demo:
     # show_btn.click(fn=show_package, inputs=show_input, outputs=show_output)
     download_btn.click(fn=zip_outputs, outputs=file_output)
     # install_btn.click(fn=install_package, inputs=pkg_input, outputs=install_output)
-    infer_btn.click(fn=start_inference_stream,input=config_count, outputs=log_output)
+    infer_btn.click(fn=start_inference_stream,inputs=config_count, outputs=log_output)
     # uninstall_btn.click(fn=uninstall_package, inputs=pkg_input2, outputs=uninstall_output)
     upload_button.click(fn=save_files,inputs=[data_input, config_input],outputs=output)
 demo.launch()

src/multiview_consist_edit/0009.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71309e834855505e52c47722b1ffe3ec4e935d7511644374a25a0ebe677e08a6
+size 15975752

src/multiview_consist_edit/config/configs.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:113569660e85d1e00127cfd991d0fd76bcab011abbe87fe37724ae385ef52cfd
+size 8116

src/multiview_consist_edit/config/configs/0.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [0,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/1.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [1,6,11,16,21,26,31,36,41,46,51,56,61,66,71,76]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/2.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [2,7,12,17,22,27,32,37,42,47,52,57,62,67,72,77]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/3.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [3,8,13,18,23,28,33,38,43,48,53,58,63,68,73,78]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/4.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [4,9,14,19,24,29,34,39,44,49,54,59,64,69,74,79]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/5.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [80,82,84,86,88,90,92,94,96,98,100,102,104,106,108,110,112,114,116,118]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/6.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [81,83,85,87,89,91,93,95,97,99,101,103,105,107,109,111,113,115,117,119]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/7.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [120,122,124,126,128,130,132,134,136,138,140,142,144,146,148,150,152,154,156,158]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30

src/multiview_consist_edit/config/configs/8.yaml

@@ -0,0 +1,52 @@
+seed: 42
+
+model_path: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+vae_path: "stabilityai/sd-vae-ft-mse"
+clip_model_path: 'openai/clip-vit-base-patch32'
+
+# unet_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000"
+# pretrained_poseguider_path: "/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000/pose.ckpt"
+# pretrained_referencenet_path: '/GPUFS/sysu_gbli2_1/hzj/animate/checkpoints/thuman_tryon_mvattn_multi_1205/checkpoint-30000'
+
+unet_path: "NTUST-DDRC/thuman_tryon_mvattn_multi"
+unet_revision: "checkpoint-30000/"
+pretrained_poseguider_path: "checkpoint-30000/pose.ckpt"
+pretrained_referencenet_path: 'NTUST-DDRC/thuman_tryon_mvattn_multi'
+referencenet_revision: "checkpoint-30000/"
+
+out_dir: 'image_output_tryon_mvhumannet'
+
+batch_size: 1
+dataloader_num_workers: 4
+guidance_scale: 3  # thuman:3 mvhumannet:2
+
+
+# infer_data:
+#   # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+#   dataroot: "/GPUFS/sysu_gbli2_1/hzj/save_render_data_yw/"
+#   # sample_size:  [512,384] # for 40G 256
+#   sample_size:  [768,576]
+#   clip_model_path: '/GPUFS/sysu_gbli2_1/hzj/pretrained_models/clip-vit-base-patch32'
+#   is_train: false
+#   mode: 'pair'
+#   output_front: true
+
+datatype: 'Thuman2_Dataset'  # 'MVHumanNet_Dataset' or 'Thuman2_Dataset'
+infer_data:
+  # dataroot: "/GPUFS/sysu_gbli2_1/hzj/render_data"
+  dataroot: "/home/user/app/upload/data/"
+  # sample_size:  [512,384] # for 40G 256
+  sample_size:  [768,576]
+  clip_model_path: 'openai/clip-vit-base-patch32'
+  is_train: false
+  mode: 'pair'
+  # the view ids you want to use
+  # it will cover other settings like output_front, front_id, is_use_all_views
+  view_ids: [121,123,125,127,129,131,133,135,137,139,141,143,145,147,149,151,153,155,157,159]  
+  output_front: true
+  front_id: 0  # front view id, used for thuman2 dataset
+  is_use_all_views: false # if your all views count <= 16, you can set it to true, otherwise false
+
+fusion_blocks: "full"
+image_finetune: true
+num_inference_steps: 30