Upload 171 files

.gitattributes

@@ -33,3 +33,35 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/docs/showcase.gif filter=lfs diff=lfs merge=lfs -text
+assets/docs/showcase2.gif filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d0.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d3.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d6.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d9.mp4 filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/base_models/appearance_feature_extractor.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/base_models/motion_extractor.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/base_models/spade_generator.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/base_models/warping_module.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/insightface/models/buffalo_l/2d106det.onnx filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/insightface/models/buffalo_l/det_10g.onnx filter=lfs diff=lfs merge=lfs -text
+pretrained_weights/liveportrait/landmark.onnx filter=lfs diff=lfs merge=lfs -text
+animations/source_e33d514c950545819174b4deb53be62d--d0_concat.mp4 filter=lfs diff=lfs merge=lfs -text
+animations/source_e33d514c950545819174b4deb53be62d--d0.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/docs/inference.gif filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d5.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d7.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/driving/d8.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s0.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s10.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s2.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s4.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s5.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s6.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s7.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s8.jpg filter=lfs diff=lfs merge=lfs -text
+assets/examples/source/s9.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_uploads/source_e33d514c950545819174b4deb53be62d.png filter=lfs diff=lfs merge=lfs -text
+gradio_uploads/source_ed459b133125493299d41e0b246b5cb7.png filter=lfs diff=lfs merge=lfs -text
+src/utils/dependencies/insightface/data/images/t1.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,18 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+**/__pycache__/
+*.py[cod]
+**/*.py[cod]
+*$py.class
+
+# Model weights
+#**/*.pth
+#**/*.onnx
+
+# Ipython notebook
+*.ipynb
+
+# Temporary files or benchmark resources
+animations/*
+tmp/*
+gradio_cached_examples/

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Kuaishou Visual Generation and Interaction Center
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,13 +1,20 @@
 ---
-title: LivePortrait
-emoji: 🌖
+title: Live Portrait
+emoji: 🤪
 colorFrom: red
-colorTo: purple
+colorTo: yellow
 sdk: gradio
-sdk_version: 6.10.0
+sdk_version: 4.37.2
 app_file: app.py
 pinned: false
-short_description: LivePortrait
+tags:
+  - Multimodal
+  - Motion control
+  - Image-to-Video
+  - Video-to-Video
+  - language models
+  - LLMs
+short_description: Apply the motion of a video on a portrait
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

animations/source_e33d514c950545819174b4deb53be62d--d0.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5836c4baffe0ee562ebf80064ef0fd67ef18dd7b515857ea624ef56898bbc7ec
+size 185631

animations/source_e33d514c950545819174b4deb53be62d--d0_concat.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5689cae2a4b94d5c1bc03d8dd3dbd31dcd762534e6bf616a0defaa195fd1d440
+size 419394

app.py

@@ -0,0 +1,244 @@
+# coding: utf-8
+
+"""
+The entrance of the gradio
+"""
+
+import tyro
+import gradio as gr
+import os.path as osp
+import torch
+from gradio_client import utils as gradio_client_utils
+from src.utils.helper import load_description
+from src.gradio_pipeline import GradioPipeline
+from src.config.crop_config import CropConfig
+from src.config.argument_config import ArgumentConfig
+from src.config.inference_config import InferenceConfig
+import cv2
+
+try:
+    import spaces
+except ImportError:
+    spaces = None
+
+# import gdown
+# folder_url = f"https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib"
+# gdown.download_folder(url=folder_url, output="pretrained_weights", quiet=False)
+
+def partial_fields(target_class, kwargs):
+    return target_class(**{k: v for k, v in kwargs.items() if hasattr(target_class, k)})
+
+# set tyro theme
+tyro.extras.set_accent_color("bright_cyan")
+args = tyro.cli(ArgumentConfig)
+
+# specify configs for inference
+inference_cfg = partial_fields(InferenceConfig, args.__dict__)  # use attribute of args to initial InferenceConfig
+crop_cfg = partial_fields(CropConfig, args.__dict__)  # use attribute of args to initial CropConfig
+
+gradio_pipeline = GradioPipeline(
+    inference_cfg=inference_cfg,
+    crop_cfg=crop_cfg,
+    args=args
+)
+
+def maybe_gpu(fn):
+    if spaces is not None and torch.cuda.is_available():
+        return spaces.GPU(fn)
+    return fn
+
+
+_original_json_schema_to_python_type = gradio_client_utils._json_schema_to_python_type
+
+
+def _patched_json_schema_to_python_type(schema, defs):
+    if isinstance(schema, bool):
+        return "Any" if schema else "None"
+    return _original_json_schema_to_python_type(schema, defs)
+
+
+gradio_client_utils._json_schema_to_python_type = _patched_json_schema_to_python_type
+
+@maybe_gpu
+def gpu_wrapped_execute_video(
+    input_image_path,
+    input_video_path,
+    flag_relative_input,
+    flag_do_crop_input,
+    flag_remap_input,
+):
+    return gradio_pipeline.execute_video(
+        input_image_path,
+        input_video_path,
+        flag_relative_input,
+        flag_do_crop_input,
+        flag_remap_input,
+    )
+
+@maybe_gpu
+def gpu_wrapped_execute_image(input_eye_ratio: float, input_lip_ratio: float):
+    return gradio_pipeline.execute_image(input_eye_ratio, input_lip_ratio)
+
+def is_square_video(video_path):
+    video = cv2.VideoCapture(video_path)
+    
+    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    
+    video.release()
+    if width != height:
+        raise gr.Error("Error: the video does not have a square aspect ratio. We currently only support square videos")
+    
+    return gr.update(visible=True)
+
+# assets
+title_md = "assets/gradio_title.md"
+example_portrait_dir = "assets/examples/source"
+example_video_dir = "assets/examples/driving"
+data_examples = [
+    [osp.join(example_portrait_dir, "s9.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True],
+    [osp.join(example_portrait_dir, "s6.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True],
+    [osp.join(example_portrait_dir, "s10.jpg"), osp.join(example_video_dir, "d5.mp4"), True, True, True],
+    [osp.join(example_portrait_dir, "s5.jpg"), osp.join(example_video_dir, "d6.mp4"), True, True, True],
+    [osp.join(example_portrait_dir, "s7.jpg"), osp.join(example_video_dir, "d7.mp4"), True, True, True],
+]
+#################### interface logic ####################
+
+# Define components first
+eye_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target eyes-open ratio")
+lip_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target lip-open ratio")
+retargeting_input_image = gr.Image(type="numpy")
+output_image = gr.Image(type="numpy")
+output_image_paste_back = gr.Image(type="numpy")
+output_video = gr.Video()
+output_video_concat = gr.Video()
+
+with gr.Blocks(theme=gr.themes.Soft(),title="LivePortrait: Revolutionary AI-Powered Portrait Animation Technology") as demo:
+    gr.HTML(load_description(title_md))
+    gr.Markdown(load_description("assets/gradio_description_upload.md"))
+    with gr.Row():
+        with gr.Accordion(open=True, label="Source Portrait"):
+            image_input = gr.Image(type="numpy")
+            gr.Examples(
+                examples=[
+                    [osp.join(example_portrait_dir, "s9.jpg")],
+                    [osp.join(example_portrait_dir, "s6.jpg")],
+                    [osp.join(example_portrait_dir, "s10.jpg")],
+                    [osp.join(example_portrait_dir, "s5.jpg")],
+                    [osp.join(example_portrait_dir, "s7.jpg")],
+                ],
+                inputs=[image_input],
+                cache_examples=False,
+            )
+        with gr.Accordion(open=True, label="Driving Video"):
+            video_input = gr.Video()
+            gr.Examples(
+                examples=[
+                    [osp.join(example_video_dir, "d0.mp4")],
+                    [osp.join(example_video_dir, "d5.mp4")],
+                    [osp.join(example_video_dir, "d6.mp4")],
+                    [osp.join(example_video_dir, "d7.mp4")],
+                ],
+                inputs=[video_input],
+                cache_examples=False,
+            )
+    with gr.Row():
+        with gr.Accordion(open=False, label="Animation Instructions and Options"):
+            gr.Markdown(load_description("assets/gradio_description_animation.md"))
+            with gr.Row():
+                flag_relative_input = gr.Checkbox(value=True, label="relative motion")
+                flag_do_crop_input = gr.Checkbox(value=True, label="do crop")
+                flag_remap_input = gr.Checkbox(value=True, label="paste-back")
+    with gr.Row():
+        with gr.Column():
+            process_button_animation = gr.Button("🚀 Animate", variant="primary")
+        with gr.Column():
+            process_button_reset = gr.ClearButton([image_input, video_input, output_video, output_video_concat], value="🧹 Clear")
+    with gr.Row():
+        with gr.Column():
+            with gr.Accordion(open=True, label="The animated video in the original image space"):
+                output_video.render()
+        with gr.Column():
+            with gr.Accordion(open=True, label="The animated video"):
+                output_video_concat.render()
+    with gr.Row():
+        # Examples
+        gr.Markdown("## You could choose the examples below ⬇️")
+    with gr.Row():
+        gr.Examples(
+            examples=data_examples,
+            fn=gpu_wrapped_execute_video,
+            inputs=[
+                image_input,
+                video_input,
+                flag_relative_input,
+                flag_do_crop_input,
+                flag_remap_input
+            ],
+            outputs=[output_video, output_video_concat],
+            examples_per_page=5,
+            cache_examples=False,
+        )
+    gr.Markdown(load_description("assets/gradio_description_retargeting.md"), visible=False)
+    with gr.Row(visible=False):
+        eye_retargeting_slider.render()
+        lip_retargeting_slider.render()
+    with gr.Row(visible=False):
+        process_button_retargeting = gr.Button("🚗 Retargeting", variant="primary")
+        process_button_reset_retargeting = gr.ClearButton(
+            [
+                eye_retargeting_slider,
+                lip_retargeting_slider,
+                retargeting_input_image,
+                output_image,
+                output_image_paste_back
+            ],
+            value="🧹 Clear"
+        )
+    with gr.Row(visible=False):
+        with gr.Column():
+            with gr.Accordion(open=True, label="Retargeting Input"):
+                retargeting_input_image.render()
+        with gr.Column():
+            with gr.Accordion(open=True, label="Retargeting Result"):
+                output_image.render()
+        with gr.Column():
+            with gr.Accordion(open=True, label="Paste-back Result"):
+                output_image_paste_back.render()
+    # binding functions for buttons
+    process_button_retargeting.click(
+        # fn=gradio_pipeline.execute_image,
+        fn=gpu_wrapped_execute_image,
+        inputs=[eye_retargeting_slider, lip_retargeting_slider],
+        outputs=[output_image, output_image_paste_back],
+        show_progress=True  
+    )
+    process_button_animation.click(
+        fn=gpu_wrapped_execute_video,
+        inputs=[
+            image_input,
+            video_input,
+            flag_relative_input,
+            flag_do_crop_input,
+            flag_remap_input
+        ],
+        outputs=[output_video, output_video_concat],
+        show_progress=True
+    )
+    image_input.change(
+        fn=gradio_pipeline.prepare_retargeting,
+        inputs=image_input,
+        outputs=[eye_retargeting_slider, lip_retargeting_slider, retargeting_input_image]
+    )
+    video_input.upload(
+        fn=is_square_video,
+        inputs=video_input,
+        outputs=video_input
+    )
+
+demo.launch(
+    server_port=args.server_port,
+    share=args.share,
+    server_name=args.server_name,
+    show_api=False
+)

assets/examples/driving/d0.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63f6f9962e1fdf6e6722172e7a18155204858d5d5ce3b1e0646c150360c33bed
+size 2958395

assets/examples/driving/d3.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef5c86e49b1b43dcb1449b499eb5a7f0cbae2f78aec08b5598193be1e4257099
+size 1430968

assets/examples/driving/d5.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:021af59d9e1d89c967699efd374e7acc77fd14c30b052abd98665de401d9e511
+size 135015

assets/examples/driving/d6.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00e3ea79bbf28cbdc4fbb67ec655d9a0fe876e880ec45af55ae481348d0c0fff
+size 1967790

assets/examples/driving/d7.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e3ecc59a7285d52ca3666be6562e59ed45ad8afcef28d0f69a9be0e2850ed37
+size 185258

assets/examples/driving/d8.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:912a02dcffef9b1a6d6641c9a48e170490080c3715dc9f55d91e168483d27e6e
+size 312295

assets/examples/driving/d9.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a414aa1d547be35306d692065a2157434bf40a6025ba8e30ce12e5bb322cc33
+size 2257929

assets/gradio_description_animation.md

@@ -0,0 +1,17 @@
+<span style="font-size: 1.2em;">🔥 To animate the source portrait with the driving video, please follow these steps:</span>
+<div style="font-size: 1.2em; margin-left: 20px;">
+1. In the <strong>Animation Options</strong> section, we recommend enabling the <strong>do crop</strong> option if faces occupy a small portion of your image.
+</div>
+<div style="font-size: 1.2em; margin-left: 20px;">
+2. Press the <strong>🚀 Animate</strong> button and wait for a moment. Your animated video will appear in the result block. This may take a few moments.
+</div>
+<div style="font-size: 1.2em; margin-left: 20px;">
+3. If you want to upload your own driving video, <strong>the best practice</strong>:
+
+ - Crop it to a 1:1 aspect ratio (e.g., 512x512 or 256x256 pixels).
+ - Focus on the head area, similar to the example videos.
+ - Minimize shoulder movement.
+ - Make sure the first frame of driving video is a frontal face with neutral expression.
+
+Auto cropping will be available soon. 🤗
+</div>

assets/gradio_description_retargeting.md

@@ -0,0 +1 @@
+<span style="font-size: 1.2em;">🔥 To change the target eyes-open and lip-open ratio of the source portrait, please drag the sliders and then click the <strong>🚗 Retargeting</strong> button. The result would be shown in the middle block. You can try running it multiple times. <strong>😊 Set both ratios to 0.8 to see what's going on!</strong> </span>

assets/gradio_description_upload.md

@@ -0,0 +1,9 @@
+<span style="font-size: 18px; color: red;">Due to limited GPU resources here, to have a better user experience, please visit our alternative website:</span>
+
+<div align="center">
+  <a href="https://liveportrait.wingetgui.com/" target="_blank" style="display: inline-block; padding: 10px 20px; font-size: 16px; text-align: center; text-decoration: none; background-color: #4CAF50; color: white; border-radius: 5px;">
+    Visit liveportrait Alternative Site
+  </a>
+</div>
+
+<span style="font-size: 18px;">You can use **liveportrait** there, with faster speed and a better experience.</span>

assets/gradio_title.md

@@ -0,0 +1,10 @@
+<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+    <div>
+        <h1>LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control</h1>
+        <div style="display: flex; justify-content: center; align-items: center; text-align: center;>
+            <a href="https://arxiv.org/pdf/2407.03168"><img src="https://img.shields.io/badge/arXiv-2407.03168-red"></a>
+            <a href="https://liveportrait.github.io"><img src="https://img.shields.io/badge/Project_Page-LivePortrait-green" alt="Project Page"></a>
+            <a href="https://github.com/KwaiVGI/LivePortrait"><img src="https://img.shields.io/badge/Github-Code-blue"></a>
+        </div>
+    </div>
+</div>

gradio.stderr.log

@@ -0,0 +1,5 @@
+D:\huggingfaceClone\LivePortrait\spaces--innoai--LivePortrait\snapshots\0034eef4222844d7ef98d57b52569455229ce665\.venv\lib\site-packages\tyro\_fields.py:330: UserWarning: The field server_name is annotated with type <class 'str'>, but the default value None has type <class 'NoneType'>. We'll try to handle this gracefully, but it may cause unexpected behavior.
+  warnings.warn(
+D:\huggingfaceClone\LivePortrait\spaces--innoai--LivePortrait\snapshots\0034eef4222844d7ef98d57b52569455229ce665\.venv\lib\site-packages\gradio\analytics.py:106: UserWarning: IMPORTANT: You are using gradio version 4.37.1, however version 4.44.1 is available, please upgrade. 
+--------
+  warnings.warn(

gradio.stdout.log

@@ -0,0 +1,32 @@
+[19:14:35] CUDA is unavailable, disabling half      live_portrait_wrapper.py:30
+           precision and running on CPU.                                       
+           Load appearance_feature_extractor done.  live_portrait_wrapper.py:34
+           Load motion_extractor done.              live_portrait_wrapper.py:37
+[19:14:36] Load warping_module done.                live_portrait_wrapper.py:40
+[19:14:37] Load spade_generator done.               live_portrait_wrapper.py:43
+           Load stitching_retargeting_module done.  live_portrait_wrapper.py:47
+           LandmarkRunner warmup time: 0.056s             landmark_runner.py:89
+           FaceAnalysisDIY warmup time: 0.077s          face_analysis_diy.py:79
+Running on local URL:  http://127.0.0.1:7860
+
+To create a public link, set `share=True` in `launch()`.
+[19:21:34] Load source image from gradio input.          gradio_pipeline.py:145
+[19:21:37] Load source image from                  live_portrait_pipeline.py:46
+           D:\huggingfaceClone\LivePortrait\spaces                             
+           --innoai--LivePortrait\snapshots\0034ee                             
+           f4222844d7ef98d57b52569455229ce665\grad                             
+           io_uploads\source_e33d514c950545819174b                             
+           4deb53be62d.png                                                     
+[19:21:38] Load from video file (mp4 mov avi       live_portrait_pipeline.py:72
+           etc...):                                                            
+           C:\Users\huahuahua\AppData\Local\Temp\g                             
+           radio\3d58cc0bedbf8fd0dec70a1178f4312bf                             
+           9682855\d0.mp4                                                      
+Animating... ---------------------------------------- 100% 0:06:46
+Concatenating result... ---------------------------------------- 100% 0:00:00
+
+Dump to animations/source_e33d514c950545819174b4deb53be62d--d0_concat.mp4
+
+
+Dump to animations/source_e33d514c950545819174b4deb53be62d--d0.mp4
+

inference.py

@@ -0,0 +1,33 @@
+# coding: utf-8
+
+import tyro
+from src.config.argument_config import ArgumentConfig
+from src.config.inference_config import InferenceConfig
+from src.config.crop_config import CropConfig
+from src.live_portrait_pipeline import LivePortraitPipeline
+
+
+def partial_fields(target_class, kwargs):
+    return target_class(**{k: v for k, v in kwargs.items() if hasattr(target_class, k)})
+
+
+def main():
+    # set tyro theme
+    tyro.extras.set_accent_color("bright_cyan")
+    args = tyro.cli(ArgumentConfig)
+
+    # specify configs for inference
+    inference_cfg = partial_fields(InferenceConfig, args.__dict__)  # use attribute of args to initial InferenceConfig
+    crop_cfg = partial_fields(CropConfig, args.__dict__)  # use attribute of args to initial CropConfig
+
+    live_portrait_pipeline = LivePortraitPipeline(
+        inference_cfg=inference_cfg,
+        crop_cfg=crop_cfg
+    )
+
+    # run
+    live_portrait_pipeline.execute(args)
+
+
+if __name__ == '__main__':
+    main()

pretrained_weights/insightface/models/buffalo_l/2d106det.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f001b856447c413801ef5c42091ed0cd516fcd21f2d6b79635b1e733a7109dbf
+size 5030888

pretrained_weights/insightface/models/buffalo_l/det_10g.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5838f7fe053675b1c7a08b633df49e7af5495cee0493c7dcf6697200b85b5b91
+size 16923827

pretrained_weights/liveportrait/base_models/appearance_feature_extractor.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5279bb8654293dbdf327030b397f107237dd9212fb11dd75b83dfb635211ceb5
+size 3387959

pretrained_weights/liveportrait/base_models/motion_extractor.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:251e6a94ad667a1d0c69526d292677165110ef7f0cf0f6d199f0e414e8aa0ca5
+size 112545506

pretrained_weights/liveportrait/base_models/spade_generator.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4780afc7909a9f84e24c01d73b31a555ef651521a1fe3b2429bd04534d992aee
+size 221813590

pretrained_weights/liveportrait/base_models/warping_module.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f61a6f265fe344f14132364859a78bdbbc2068577170693da57fb96d636e282
+size 182180086

pretrained_weights/liveportrait/landmark.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31d22a5041326c31f19b78886939a634a5aedcaa5ab8b9b951a1167595d147db
+size 114666491

pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3652d5a3f95099141a56986aaddec92fadf0a73c87a20fac9a2c07c32b28b611
+size 2393098

requirements.txt

@@ -0,0 +1,24 @@
+torch==2.3.0
+torchvision==0.18.0
+torchaudio==2.3.0
+
+numpy==1.26.4
+pyyaml==6.0.1
+opencv-python==4.10.0.84
+scipy==1.13.1
+imageio==2.34.2
+lmdb==1.4.1
+tqdm==4.66.4
+rich==13.7.1
+ffmpeg==1.4
+onnxruntime==1.18.0
+onnx==1.16.1
+scikit-image==0.24.0
+albumentations==1.4.10
+matplotlib==3.9.0
+imageio-ffmpeg==0.5.1
+tyro==0.8.5
+gradio==4.37.1
+fastapi==0.112.2
+huggingface-hub<1.0
+gdown