From bbb2e3359943f5a6fd2bbd0c4882838eefe335ba Mon Sep 17 00:00:00 2001 From: Jianzhu Guo Date: Fri, 2 Aug 2024 22:39:05 +0800 Subject: [PATCH] feat: animals mode, several updates and improvements (#264) * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * chore: refactor * chore: refactor * chore: refactor * fix: video cropping * chore: refactor * chore: remove timm * merge: animal support (#258) * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update * feat: update --------- Co-authored-by: zhangdingyun feat: update feat: update chore: stage * chore: stage * chore: refactor * chore: refactor * doc: update readme * doc: update readme * doc: update readme * chore: refactor * doc: update * doc: update * doc: update * doc: update * chore: rename * doc: update * doc: update * chore: refactor * doc: update * chore: refactor * chore: refactor * doc: update * chore: update clip feature * chore: add landmark option * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update * doc: update --------- Co-authored-by: zhangdingyun Co-authored-by: zzzweakman <1819489045@qq.com> --- .gitignore | 6 + app.py | 93 +- app_animals.py | 248 +++ .../docs/animals-mode-gradio-2024-08-02.jpg | Bin 0 -> 352441 bytes assets/docs/changelog/2024-08-02.md | 68 + assets/docs/directory-structure.md | 28 + .../driving-option-multiplier-2024-08-02.jpg | Bin 0 -> 84474 bytes assets/docs/how-to-install-ffmpeg.md | 29 + assets/docs/inference-animals.gif | Bin 0 -> 502328 bytes assets/docs/retargeting-video-2024-08-02.jpg | Bin 0 -> 118055 bytes assets/docs/speed.md | 13 + assets/examples/driving/aggrieved.pkl | Bin 0 -> 25712 bytes assets/examples/driving/laugh.pkl | Bin 0 -> 24368 bytes assets/examples/driving/open_lip.pkl | Bin 0 -> 34672 bytes assets/examples/driving/shake_face.pkl | Bin 0 -> 41840 bytes assets/examples/driving/shy.pkl | Bin 0 -> 36016 bytes assets/examples/driving/talking.pkl | Bin 0 -> 44976 bytes assets/examples/driving/wink.pkl | Bin 0 -> 25712 bytes assets/examples/source/s25.jpg | Bin 0 -> 398840 bytes assets/examples/source/s29.mp4 | Bin 0 -> 814747 bytes assets/examples/source/s30.jpg | Bin 0 -> 98008 bytes assets/examples/source/s31.jpg | Bin 0 -> 101597 bytes assets/examples/source/s32.jpg | Bin 0 -> 117885 bytes assets/examples/source/s32.mp4 | Bin 0 -> 688496 bytes assets/examples/source/s36.jpg | Bin 0 -> 40149 bytes assets/examples/source/s38.jpg | Bin 0 -> 511894 bytes assets/examples/source/s39.jpg | Bin 0 -> 468303 bytes assets/examples/source/s40.jpg | Bin 0 -> 224890 bytes assets/examples/source/s41.jpg | Bin 0 -> 113558 bytes .../gradio/gradio_description_retargeting.md | 4 +- .../gradio_description_retargeting_video.md | 9 + .../gradio_description_upload_animal.md | 16 + inference.py | 3 + inference_animal.py | 65 + readme.md | 102 +- requirements_base.txt | 2 + requirements_macOS.txt | 2 + src/config/argument_config.py | 8 +- src/config/crop_config.py | 14 +- src/config/inference_config.py | 11 +- src/gradio_pipeline.py | 240 ++- src/live_portrait_pipeline.py | 35 +- src/live_portrait_pipeline_animal.py | 237 +++ src/live_portrait_wrapper.py | 62 +- src/modules/util.py | 13 +- src/utils/animal_landmark_runner.py | 138 ++ src/utils/crop.py | 25 + src/utils/cropper.py | 118 +- .../XPose/config_model/UniPose_SwinT.py | 125 ++ .../XPose/config_model/coco_transformer.py | 8 + .../XPose/models/UniPose/__init__.py | 10 + .../XPose/models/UniPose/attention.py | 373 +++++ .../XPose/models/UniPose/backbone.py | 211 +++ .../models/UniPose/deformable_transformer.py | 1230 +++++++++++++++ .../XPose/models/UniPose/fuse_modules.py | 274 ++++ .../XPose/models/UniPose/mask_generate.py | 56 + .../models/UniPose/ops/functions/__init__.py | 10 + .../ops/functions/ms_deform_attn_func.py | 61 + .../models/UniPose/ops/modules/__init__.py | 9 + .../UniPose/ops/modules/ms_deform_attn.py | 142 ++ .../ops/modules/ms_deform_attn_key_aware.py | 130 ++ .../XPose/models/UniPose/ops/setup.py | 73 + .../ops/src/cpu/ms_deform_attn_cpu.cpp | 41 + .../UniPose/ops/src/cpu/ms_deform_attn_cpu.h | 33 + .../ops/src/cuda/ms_deform_attn_cuda.cu | 153 ++ .../ops/src/cuda/ms_deform_attn_cuda.h | 30 + .../ops/src/cuda/ms_deform_im2col_cuda.cuh | 1327 +++++++++++++++++ .../models/UniPose/ops/src/ms_deform_attn.h | 62 + .../XPose/models/UniPose/ops/src/vision.cpp | 16 + .../XPose/models/UniPose/ops/test.py | 89 ++ .../XPose/models/UniPose/position_encoding.py | 157 ++ .../XPose/models/UniPose/swin_transformer.py | 701 +++++++++ .../models/UniPose/transformer_deformable.py | 595 ++++++++ .../models/UniPose/transformer_vanilla.py | 102 ++ .../XPose/models/UniPose/unipose.py | 621 ++++++++ .../XPose/models/UniPose/utils.py | 348 +++++ .../dependencies/XPose/models/__init__.py | 16 + .../dependencies/XPose/models/registry.py | 58 + .../XPose/predefined_keypoints.py | 56 + src/utils/dependencies/XPose/transforms.py | 394 +++++ src/utils/dependencies/XPose/util/addict.py | 159 ++ src/utils/dependencies/XPose/util/box_ops.py | 139 ++ src/utils/dependencies/XPose/util/config.py | 426 ++++++ .../dependencies/XPose/util/keypoint_ops.py | 29 + src/utils/dependencies/XPose/util/misc.py | 701 +++++++++ src/utils/helper.py | 31 + ...ark_runner.py => human_landmark_runner.py} | 0 src/utils/resources/clip_embedding_68.pkl | Bin 0 -> 71352 bytes src/utils/resources/clip_embedding_9.pkl | Bin 0 -> 10923 bytes src/utils/video.py | 3 +- 90 files changed, 10433 insertions(+), 155 deletions(-) create mode 100644 app_animals.py create mode 100644 assets/docs/animals-mode-gradio-2024-08-02.jpg create mode 100644 assets/docs/changelog/2024-08-02.md create mode 100644 assets/docs/directory-structure.md create mode 100644 assets/docs/driving-option-multiplier-2024-08-02.jpg create mode 100644 assets/docs/how-to-install-ffmpeg.md create mode 100644 assets/docs/inference-animals.gif create mode 100644 assets/docs/retargeting-video-2024-08-02.jpg create mode 100644 assets/docs/speed.md create mode 100644 assets/examples/driving/aggrieved.pkl create mode 100644 assets/examples/driving/laugh.pkl create mode 100644 assets/examples/driving/open_lip.pkl create mode 100644 assets/examples/driving/shake_face.pkl create mode 100644 assets/examples/driving/shy.pkl create mode 100644 assets/examples/driving/talking.pkl create mode 100644 assets/examples/driving/wink.pkl create mode 100644 assets/examples/source/s25.jpg create mode 100644 assets/examples/source/s29.mp4 create mode 100644 assets/examples/source/s30.jpg create mode 100644 assets/examples/source/s31.jpg create mode 100644 assets/examples/source/s32.jpg create mode 100644 assets/examples/source/s32.mp4 create mode 100644 assets/examples/source/s36.jpg create mode 100644 assets/examples/source/s38.jpg create mode 100644 assets/examples/source/s39.jpg create mode 100644 assets/examples/source/s40.jpg create mode 100644 assets/examples/source/s41.jpg create mode 100644 assets/gradio/gradio_description_retargeting_video.md create mode 100644 assets/gradio/gradio_description_upload_animal.md create mode 100644 inference_animal.py create mode 100644 src/live_portrait_pipeline_animal.py create mode 100644 src/utils/animal_landmark_runner.py create mode 100644 src/utils/dependencies/XPose/config_model/UniPose_SwinT.py create mode 100644 src/utils/dependencies/XPose/config_model/coco_transformer.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/__init__.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/attention.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/backbone.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/deformable_transformer.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/fuse_modules.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/mask_generate.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/functions/__init__.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/functions/ms_deform_attn_func.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/modules/__init__.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/modules/ms_deform_attn.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/modules/ms_deform_attn_key_aware.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/setup.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/cpu/ms_deform_attn_cpu.cpp create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/cpu/ms_deform_attn_cpu.h create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/cuda/ms_deform_attn_cuda.cu create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/cuda/ms_deform_attn_cuda.h create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/cuda/ms_deform_im2col_cuda.cuh create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/ms_deform_attn.h create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/src/vision.cpp create mode 100644 src/utils/dependencies/XPose/models/UniPose/ops/test.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/position_encoding.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/swin_transformer.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/transformer_deformable.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/transformer_vanilla.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/unipose.py create mode 100644 src/utils/dependencies/XPose/models/UniPose/utils.py create mode 100644 src/utils/dependencies/XPose/models/__init__.py create mode 100644 src/utils/dependencies/XPose/models/registry.py create mode 100644 src/utils/dependencies/XPose/predefined_keypoints.py create mode 100644 src/utils/dependencies/XPose/transforms.py create mode 100644 src/utils/dependencies/XPose/util/addict.py create mode 100644 src/utils/dependencies/XPose/util/box_ops.py create mode 100644 src/utils/dependencies/XPose/util/config.py create mode 100644 src/utils/dependencies/XPose/util/keypoint_ops.py create mode 100644 src/utils/dependencies/XPose/util/misc.py rename src/utils/{landmark_runner.py => human_landmark_runner.py} (100%) create mode 100644 src/utils/resources/clip_embedding_68.pkl create mode 100644 src/utils/resources/clip_embedding_9.pkl diff --git a/.gitignore b/.gitignore index ad97cdf..7e9e638 100644 --- a/.gitignore +++ b/.gitignore @@ -12,6 +12,7 @@ __pycache__/ pretrained_weights/*.md pretrained_weights/docs pretrained_weights/liveportrait +pretrained_weights/liveportrait_animals # Ipython notebook *.ipynb @@ -26,3 +27,8 @@ gradio_temp/** # Windows dependencies ffmpeg/ LivePortrait_env/ + +# XPose build files +src/utils/dependencies/XPose/models/UniPose/ops/build +src/utils/dependencies/XPose/models/UniPose/ops/dist +src/utils/dependencies/XPose/models/UniPose/ops/MultiScaleDeformableAttention.egg-info diff --git a/app.py b/app.py index 4faa827..c1e895a 100644 --- a/app.py +++ b/app.py @@ -1,7 +1,7 @@ # coding: utf-8 """ -The entrance of the gradio +The entrance of the gradio for human """ import os @@ -59,9 +59,11 @@ def gpu_wrapped_execute_video(*args, **kwargs): return gradio_pipeline.execute_video(*args, **kwargs) -def gpu_wrapped_execute_image(*args, **kwargs): - return gradio_pipeline.execute_image(*args, **kwargs) +def gpu_wrapped_execute_image_retargeting(*args, **kwargs): + return gradio_pipeline.execute_image_retargeting(*args, **kwargs) +def gpu_wrapped_execute_video_retargeting(*args, **kwargs): + return gradio_pipeline.execute_video_retargeting(*args, **kwargs) # assets title_md = "assets/gradio/gradio_title.md" @@ -87,14 +89,20 @@ data_examples_v2v = [ # Define components first retargeting_source_scale = gr.Number(minimum=1.8, maximum=3.2, value=2.5, step=0.05, label="crop scale") +video_retargeting_source_scale = gr.Number(minimum=1.8, maximum=3.2, value=2.3, step=0.05, label="crop scale") +driving_smooth_observation_variance_retargeting = gr.Number(value=3e-6, label="motion smooth strength", minimum=1e-11, maximum=1e-2, step=1e-8) 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") +video_lip_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target lip-open ratio") head_pitch_slider = gr.Slider(minimum=-15.0, maximum=15.0, value=0, step=1, label="relative pitch") head_yaw_slider = gr.Slider(minimum=-25, maximum=25, value=0, step=1, label="relative yaw") head_roll_slider = gr.Slider(minimum=-15.0, maximum=15.0, value=0, step=1, label="relative roll") retargeting_input_image = gr.Image(type="filepath") +retargeting_input_video = gr.Video() output_image = gr.Image(type="numpy") output_image_paste_back = gr.Image(type="numpy") +output_video = gr.Video(autoplay=False) +output_video_paste_back = gr.Video(autoplay=False) output_video_i2v = gr.Video(autoplay=False) output_video_concat_i2v = gr.Video(autoplay=False) @@ -179,6 +187,9 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San with gr.Row(): flag_relative_input = gr.Checkbox(value=True, label="relative motion") flag_remap_input = gr.Checkbox(value=True, label="paste-back") + flag_stitching_input = gr.Checkbox(value=True, label="stitching") + driving_option_input = gr.Radio(['expression-friendly', 'pose-friendly'], value="expression-friendly", label="driving option (i2v)") + driving_multiplier = gr.Number(value=1.0, label="driving multiplier (i2v)", minimum=0.0, maximum=2.0, step=0.02) flag_video_editing_head_rotation = gr.Checkbox(value=False, label="relative head rotation (v2v)") driving_smooth_observation_variance = gr.Number(value=3e-7, label="motion smooth strength (v2v)", minimum=1e-11, maximum=1e-2, step=1e-8) @@ -235,9 +246,10 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San cache_examples=False, ) - # Retargeting + # Retargeting Image gr.Markdown(load_description("assets/gradio/gradio_description_retargeting.md"), visible=True) with gr.Row(visible=True): + flag_do_crop_input_retargeting_image = gr.Checkbox(value=True, label="do crop (source)") retargeting_source_scale.render() eye_retargeting_slider.render() lip_retargeting_slider.render() @@ -246,10 +258,10 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San head_yaw_slider.render() head_roll_slider.render() with gr.Row(visible=True): - process_button_retargeting = gr.Button("๐Ÿš— Retargeting", variant="primary") + process_button_retargeting = gr.Button("๐Ÿš— Retargeting Image", variant="primary") with gr.Row(visible=True): with gr.Column(): - with gr.Accordion(open=True, label="Retargeting Input"): + with gr.Accordion(open=True, label="Retargeting Image Input"): retargeting_input_image.render() gr.Examples( examples=[ @@ -286,15 +298,48 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San value="๐Ÿงน Clear" ) - # 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, head_pitch_slider, head_yaw_slider, head_roll_slider, retargeting_input_image, retargeting_source_scale, flag_do_crop_input], - outputs=[output_image, output_image_paste_back], - show_progress=True - ) + # Retargeting Video + gr.Markdown(load_description("assets/gradio/gradio_description_retargeting_video.md"), visible=True) + with gr.Row(visible=True): + flag_do_crop_input_retargeting_video = gr.Checkbox(value=True, label="do crop (source)") + video_retargeting_source_scale.render() + video_lip_retargeting_slider.render() + driving_smooth_observation_variance_retargeting.render() + with gr.Row(visible=True): + process_button_retargeting_video = gr.Button("๐Ÿ„ Retargeting Video", variant="primary") + with gr.Row(visible=True): + with gr.Column(): + with gr.Accordion(open=True, label="Retargeting Video Input"): + retargeting_input_video.render() + gr.Examples( + examples=[ + [osp.join(example_portrait_dir, "s13.mp4")], + # [osp.join(example_portrait_dir, "s18.mp4")], + [osp.join(example_portrait_dir, "s20.mp4")], + [osp.join(example_portrait_dir, "s29.mp4")], + [osp.join(example_portrait_dir, "s32.mp4")], + ], + inputs=[retargeting_input_video], + cache_examples=False, + ) + with gr.Column(): + with gr.Accordion(open=True, label="Retargeting Result"): + output_video.render() + with gr.Column(): + with gr.Accordion(open=True, label="Paste-back Result"): + output_video_paste_back.render() + with gr.Row(visible=True): + process_button_reset_retargeting = gr.ClearButton( + [ + video_lip_retargeting_slider, + retargeting_input_video, + output_video, + output_video_paste_back + ], + value="๐Ÿงน Clear" + ) + # binding functions for buttons process_button_animation.click( fn=gpu_wrapped_execute_video, inputs=[ @@ -304,6 +349,9 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San flag_relative_input, flag_do_crop_input, flag_remap_input, + flag_stitching_input, + driving_option_input, + driving_multiplier, flag_crop_driving_video_input, flag_video_editing_head_rotation, scale, @@ -320,11 +368,26 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta San ) retargeting_input_image.change( - fn=gradio_pipeline.init_retargeting, + fn=gradio_pipeline.init_retargeting_image, inputs=[retargeting_source_scale, retargeting_input_image], outputs=[eye_retargeting_slider, lip_retargeting_slider] ) + process_button_retargeting.click( + # fn=gradio_pipeline.execute_image, + fn=gpu_wrapped_execute_image_retargeting, + inputs=[eye_retargeting_slider, lip_retargeting_slider, head_pitch_slider, head_yaw_slider, head_roll_slider, retargeting_input_image, retargeting_source_scale, flag_do_crop_input_retargeting_image], + outputs=[output_image, output_image_paste_back], + show_progress=True + ) + + process_button_retargeting_video.click( + fn=gpu_wrapped_execute_video_retargeting, + inputs=[video_lip_retargeting_slider, retargeting_input_video, video_retargeting_source_scale, driving_smooth_observation_variance_retargeting, flag_do_crop_input_retargeting_video], + outputs=[output_video, output_video_paste_back], + show_progress=True + ) + demo.launch( server_port=args.server_port, share=args.share, diff --git a/app_animals.py b/app_animals.py new file mode 100644 index 0000000..361044a --- /dev/null +++ b/app_animals.py @@ -0,0 +1,248 @@ +# coding: utf-8 + +""" +The entrance of the gradio for animal +""" + +import os +import tyro +import subprocess +import gradio as gr +import os.path as osp +from src.utils.helper import load_description +from src.gradio_pipeline import GradioPipelineAnimal +from src.config.crop_config import CropConfig +from src.config.argument_config import ArgumentConfig +from src.config.inference_config import InferenceConfig + + +def partial_fields(target_class, kwargs): + return target_class(**{k: v for k, v in kwargs.items() if hasattr(target_class, k)}) + + +def fast_check_ffmpeg(): + try: + subprocess.run(["ffmpeg", "-version"], capture_output=True, check=True) + return True + except: + return False + + +# set tyro theme +tyro.extras.set_accent_color("bright_cyan") +args = tyro.cli(ArgumentConfig) + +ffmpeg_dir = os.path.join(os.getcwd(), "ffmpeg") +if osp.exists(ffmpeg_dir): + os.environ["PATH"] += (os.pathsep + ffmpeg_dir) + +if not fast_check_ffmpeg(): + raise ImportError( + "FFmpeg is not installed. Please install FFmpeg (including ffmpeg and ffprobe) before running this script. https://ffmpeg.org/download.html" + ) +# 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_animal: GradioPipelineAnimal = GradioPipelineAnimal( + inference_cfg=inference_cfg, + crop_cfg=crop_cfg, + args=args +) + +if args.gradio_temp_dir not in (None, ''): + os.environ["GRADIO_TEMP_DIR"] = args.gradio_temp_dir + os.makedirs(args.gradio_temp_dir, exist_ok=True) + +def gpu_wrapped_execute_video(*args, **kwargs): + return gradio_pipeline_animal.execute_video(*args, **kwargs) + + +# assets +title_md = "assets/gradio/gradio_title.md" +example_portrait_dir = "assets/examples/source" +example_video_dir = "assets/examples/driving" +data_examples_i2v = [ + [osp.join(example_portrait_dir, "s41.jpg"), osp.join(example_video_dir, "d3.mp4"), True, False, False, False], + [osp.join(example_portrait_dir, "s40.jpg"), osp.join(example_video_dir, "d6.mp4"), True, False, False, False], + [osp.join(example_portrait_dir, "s25.jpg"), osp.join(example_video_dir, "d19.mp4"), True, False, False, False], +] +data_examples_i2v_pickle = [ + [osp.join(example_portrait_dir, "s25.jpg"), osp.join(example_video_dir, "wink.pkl"), True, False, False, False], + [osp.join(example_portrait_dir, "s40.jpg"), osp.join(example_video_dir, "talking.pkl"), True, False, False, False], + [osp.join(example_portrait_dir, "s41.jpg"), osp.join(example_video_dir, "aggrieved.pkl"), True, False, False, False], +] +#################### interface logic #################### + +# Define components first +output_image = gr.Image(type="numpy") +output_image_paste_back = gr.Image(type="numpy") +output_video_i2v = gr.Video(autoplay=False) +output_video_concat_i2v = gr.Video(autoplay=False) +output_video_i2v_gif = gr.Image(type="numpy") + + +with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Plus Jakarta Sans")])) as demo: + gr.HTML(load_description(title_md)) + + gr.Markdown(load_description("assets/gradio/gradio_description_upload_animal.md")) + with gr.Row(): + with gr.Column(): + with gr.Accordion(open=True, label="๐Ÿฑ Source Animal Image"): + source_image_input = gr.Image(type="filepath") + gr.Examples( + examples=[ + [osp.join(example_portrait_dir, "s25.jpg")], + [osp.join(example_portrait_dir, "s30.jpg")], + [osp.join(example_portrait_dir, "s31.jpg")], + [osp.join(example_portrait_dir, "s32.jpg")], + [osp.join(example_portrait_dir, "s39.jpg")], + [osp.join(example_portrait_dir, "s40.jpg")], + [osp.join(example_portrait_dir, "s41.jpg")], + [osp.join(example_portrait_dir, "s38.jpg")], + [osp.join(example_portrait_dir, "s36.jpg")], + ], + inputs=[source_image_input], + cache_examples=False, + ) + + with gr.Accordion(open=True, label="Cropping Options for Source Image"): + with gr.Row(): + flag_do_crop_input = gr.Checkbox(value=True, label="do crop (source)") + scale = gr.Number(value=2.3, label="source crop scale", minimum=1.8, maximum=3.2, step=0.05) + vx_ratio = gr.Number(value=0.0, label="source crop x", minimum=-0.5, maximum=0.5, step=0.01) + vy_ratio = gr.Number(value=-0.125, label="source crop y", minimum=-0.5, maximum=0.5, step=0.01) + + with gr.Column(): + with gr.Tabs(): + with gr.TabItem("๐Ÿ“ Driving Pickle") as tab_pickle: + with gr.Accordion(open=True, label="Driving Pickle"): + driving_video_pickle_input = gr.File() + gr.Examples( + examples=[ + [osp.join(example_video_dir, "wink.pkl")], + [osp.join(example_video_dir, "shy.pkl")], + [osp.join(example_video_dir, "aggrieved.pkl")], + [osp.join(example_video_dir, "open_lip.pkl")], + [osp.join(example_video_dir, "laugh.pkl")], + [osp.join(example_video_dir, "talking.pkl")], + [osp.join(example_video_dir, "shake_face.pkl")], + ], + inputs=[driving_video_pickle_input], + cache_examples=False, + ) + with gr.TabItem("๐ŸŽž๏ธ Driving Video") as tab_video: + with gr.Accordion(open=True, label="Driving Video"): + driving_video_input = gr.Video() + gr.Examples( + examples=[ + # [osp.join(example_video_dir, "d0.mp4")], + # [osp.join(example_video_dir, "d18.mp4")], + [osp.join(example_video_dir, "d19.mp4")], + [osp.join(example_video_dir, "d14.mp4")], + [osp.join(example_video_dir, "d6.mp4")], + [osp.join(example_video_dir, "d3.mp4")], + ], + inputs=[driving_video_input], + cache_examples=False, + ) + + tab_selection = gr.Textbox(visible=False) + tab_pickle.select(lambda: "Pickle", None, tab_selection) + tab_video.select(lambda: "Video", None, tab_selection) + with gr.Accordion(open=True, label="Cropping Options for Driving Video"): + with gr.Row(): + flag_crop_driving_video_input = gr.Checkbox(value=False, label="do crop (driving)") + scale_crop_driving_video = gr.Number(value=2.2, label="driving crop scale", minimum=1.8, maximum=3.2, step=0.05) + vx_ratio_crop_driving_video = gr.Number(value=0.0, label="driving crop x", minimum=-0.5, maximum=0.5, step=0.01) + vy_ratio_crop_driving_video = gr.Number(value=-0.1, label="driving crop y", minimum=-0.5, maximum=0.5, step=0.01) + + with gr.Row(): + with gr.Accordion(open=False, label="Animation Options"): + with gr.Row(): + flag_stitching = gr.Checkbox(value=False, label="stitching (not recommended)") + flag_remap_input = gr.Checkbox(value=False, label="paste-back (not recommended)") + driving_multiplier = gr.Number(value=1.0, label="driving multiplier", minimum=0.0, maximum=2.0, step=0.02) + + gr.Markdown(load_description("assets/gradio/gradio_description_animate_clear.md")) + with gr.Row(): + process_button_animation = gr.Button("๐Ÿš€ Animate", variant="primary") + with gr.Row(): + with gr.Column(): + with gr.Accordion(open=True, label="The animated video in the cropped image space"): + output_video_i2v.render() + with gr.Column(): + with gr.Accordion(open=True, label="The animated gif in the cropped image space"): + output_video_i2v_gif.render() + with gr.Column(): + with gr.Accordion(open=True, label="The animated video"): + output_video_concat_i2v.render() + with gr.Row(): + process_button_reset = gr.ClearButton([source_image_input, driving_video_input, output_video_i2v, output_video_concat_i2v, output_video_i2v_gif], value="๐Ÿงน Clear") + + with gr.Row(): + # Examples + gr.Markdown("## You could also choose the examples below by one click โฌ‡๏ธ") + with gr.Row(): + with gr.Tabs(): + with gr.TabItem("๐Ÿ“ Driving Pickle") as tab_video: + gr.Examples( + examples=data_examples_i2v_pickle, + fn=gpu_wrapped_execute_video, + inputs=[ + source_image_input, + driving_video_pickle_input, + flag_do_crop_input, + flag_stitching, + flag_remap_input, + flag_crop_driving_video_input, + ], + outputs=[output_image, output_image_paste_back, output_video_i2v_gif], + examples_per_page=len(data_examples_i2v_pickle), + cache_examples=False, + ) + with gr.TabItem("๐ŸŽž๏ธ Driving Video") as tab_video: + gr.Examples( + examples=data_examples_i2v, + fn=gpu_wrapped_execute_video, + inputs=[ + source_image_input, + driving_video_input, + flag_do_crop_input, + flag_stitching, + flag_remap_input, + flag_crop_driving_video_input, + ], + outputs=[output_image, output_image_paste_back, output_video_i2v_gif], + examples_per_page=len(data_examples_i2v), + cache_examples=False, + ) + + process_button_animation.click( + fn=gpu_wrapped_execute_video, + inputs=[ + source_image_input, + driving_video_input, + driving_video_pickle_input, + flag_do_crop_input, + flag_remap_input, + driving_multiplier, + flag_stitching, + flag_crop_driving_video_input, + scale, + vx_ratio, + vy_ratio, + scale_crop_driving_video, + vx_ratio_crop_driving_video, + vy_ratio_crop_driving_video, + tab_selection, + ], + outputs=[output_video_i2v, output_video_concat_i2v, output_video_i2v_gif], + show_progress=True + ) + +demo.launch( + server_port=args.server_port, + share=args.share, + server_name=args.server_name +) diff 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zN2CGBZK@&iMv&=Jehfr{!{{7IxLpG3OF$L=rEh%DYlRWQGAjxi0-*?+e!#6(gI$~d z=}V)Ih>VY?{nAO(e`$n&Spd{(S8r~HQ}s)cz*P`FM`HypgOKE3yDmrG8>YU+3zvu^ zhWp?d*8~Qs>@XmW41Q??IbjEmR2bJ`F9n1nJ~%OKkN1FOv?Y4g1r2g!zRv_?8#aW4cWNS62bj`~x7a=XLl= zmig_ZltHMrn6?a*aqU!a?r+&bMlp^wyGmkiM&zB;D)r_j=$Ci?CA+i#!x;Lv2=UWQ z5&s2Yk1v_l-AJH;u-Y$^@6U859G*yyX8Yea75}GXbTt`90snKK!?CiF5opOfeg&At zxu~n1qrlob2b(S(TxPW>*|OB!g#IUJ@(Z#3kFH4nQ!@NNn!Zc8uM7KshKxj$@mr-Q z>2Yb?Gx48z(EyAL-#4Jb(XTQx!Vap945oX2sV7F)e(ThG!WjUBo3;??e7`wW@&D2i3o7^vKDw3`S8qaIZsTJEv}`Jh=H|Iq`TD zF@l=L2<(kxFauMP^bEFUHWUK00fan9Pc9qji&b#a`oy-A4#9M=emA;|T#`{MldTp3 zlD8*SJ;Y`GZH#Yq2St7w + + Animals Singing Dance Monkey ๐ŸŽค + + + + + + + + + + +๐ŸŽ‰ We are excited to announce the release of a new version featuring animals mode, along with several other updates. Special thanks to the dedicated efforts of the LivePortrait team. ๐Ÿ’ช + +### Updates on Animals mode +We are pleased to announce the release of the animals mode, which is fine-tuned on approximately 230K frames of various animals (mostly cats and dogs). The trained weights have been updated in the `liveportrait_animals` subdirectory, available on [HuggingFace](https://huggingface.co/KwaiVGI/LivePortrait/tree/main/) or [Google Drive](https://drive.google.com/drive/u/0/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib). You should [download the weights](https://github.com/KwaiVGI/LivePortrait?tab=readme-ov-file#2-download-pretrained-weights) before running. There are two ways to run this mode. + +> Please note that we have not trained the stitching and retargeting modules for the animals model due to several technical issues. This may be addressed in future updates. Therefore, we recommend using the `--no_flag_stitching` option when running the model. + +Before launching, ensure you have installed `transformers==4.22.0`, `pillow>=10.2.0`, which are already updated in [`requirements_base.txt`](../../../requirements_base.txt). We have chosen [XPose](https://github.com/IDEA-Research/X-Pose) as the keypoints detector for animals. This relies on `transformers` and requires building an OP named `MultiScaleDeformableAttention` by +```bash +cd src/utils/dependencies/XPose/models/UniPose/ops +python setup.py build install +cd - # equal to cd ../../../../../../../ +``` + +You can run the model using the script `inference_animal.py`: +```bash +python inference_animal.py -s assets/examples/source/s39.jpg -d assets/examples/driving/wink.pkl --no_flag_stitching --driving_multiplier 1.75 +``` + +Alternatively, we recommend using Gradio. Simply launch it by running: +```bash +python app_animal.py # --server_port 8889 --server_name "0.0.0.0" --share +``` + +> [!WARNING] +> [XPose](https://github.com/IDEA-Research/X-Pose) is only for Non-commercial Scientific Research Purposes, you should remove and replace it with other detectors if you use it for commercial purposes. + +### Updates on Humans Mode + +- **Driving Options**: We have introduced an `expression-friendly` driving option to **reduce head wobbling**, now set as the default. While it may be less effective with large head poses, you can also select the `pose-friendly` option, which is the same as the previous version. This can be set using `--driving_option` or selected in the Gradio interface. Additionally, we added a `--driving_multiplier` option to adjust driving intensity, with a default value of 1, which can also be set in the Gradio interface. + +- **Retargeting Video in Gradio**: We have implemented a video retargeting feature. You can specify a `target lip-open ratio` to adjust the mouth movement in the source video. For instance, setting it to 0 will close the mouth in the source video ๐Ÿค. + +### Others + +- [**Poe supports LivePortrait**](https://poe.com/LivePortrait). Check out the news on [X](https://x.com/poe_platform/status/1816136105781256260). +- [ComfyUI-LivePortraitKJ](https://github.com/kijai/ComfyUI-LivePortraitKJ) (1.1K ๐ŸŒŸ) now includes MediaPipe as an alternative to InsightFace, ensuring the license remains under MIT and Apache 2.0. + + + +**Below are some screenshots of the new features and improvements:** + +| ![The Gradio Interface of Animals Mode](../animals-mode-gradio-2024-08-02.jpg) | +|:---:| +| **The Gradio Interface of Animals Mode** | + +| ![Driving Options and Multiplier](../driving-option-multiplier-2024-08-02.jpg) | +|:---:| +| **Driving Options and Multiplier** | + +| ![The Feature of Retargeting Video](../retargeting-video-2024-08-02.jpg) | +|:---:| +| **The Feature of Retargeting Video** | diff --git a/assets/docs/directory-structure.md b/assets/docs/directory-structure.md new file mode 100644 index 0000000..35e14f7 --- /dev/null +++ b/assets/docs/directory-structure.md @@ -0,0 +1,28 @@ +## The directory structure of `pretrained_weights` + +```text +pretrained_weights +โ”œโ”€โ”€ insightface +โ”‚ โ””โ”€โ”€ models +โ”‚ โ””โ”€โ”€ buffalo_l +โ”‚ โ”œโ”€โ”€ 2d106det.onnx +โ”‚ โ””โ”€โ”€ det_10g.onnx +โ”œโ”€โ”€ liveportrait +โ”‚ โ”œโ”€โ”€ base_models +โ”‚ โ”‚ โ”œโ”€โ”€ appearance_feature_extractor.pth +โ”‚ โ”‚ โ”œโ”€โ”€ motion_extractor.pth +โ”‚ โ”‚ โ”œโ”€โ”€ spade_generator.pth +โ”‚ โ”‚ โ””โ”€โ”€ warping_module.pth +โ”‚ โ”œโ”€โ”€ landmark.onnx +โ”‚ โ””โ”€โ”€ retargeting_models +โ”‚ โ””โ”€โ”€ stitching_retargeting_module.pth +โ””โ”€โ”€ liveportrait_animals + โ”œโ”€โ”€ base_models + โ”‚ โ”œโ”€โ”€ appearance_feature_extractor.pth + โ”‚ โ”œโ”€โ”€ motion_extractor.pth + โ”‚ โ”œโ”€โ”€ spade_generator.pth + โ”‚ โ””โ”€โ”€ warping_module.pth + โ”œโ”€โ”€ retargeting_models + โ”‚ โ””โ”€โ”€ stitching_retargeting_module.pth + โ””โ”€โ”€ xpose.pth +``` diff --git a/assets/docs/driving-option-multiplier-2024-08-02.jpg b/assets/docs/driving-option-multiplier-2024-08-02.jpg new file mode 100644 index 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a!&2Q5q)#14s^l1e5q$plpQ6FL-~JCxzcY#e literal 0 HcmV?d00001 diff --git a/assets/docs/how-to-install-ffmpeg.md b/assets/docs/how-to-install-ffmpeg.md new file mode 100644 index 0000000..b84edfc --- /dev/null +++ b/assets/docs/how-to-install-ffmpeg.md @@ -0,0 +1,29 @@ +## Install FFmpeg + +Make sure you have `ffmpeg` and `ffprobe` installed on your system. If you don't have them installed, follow the instructions below. + +> [!Note] +> The installation is copied from [SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) ๐Ÿค— + +### Conda Users + +```bash +conda install ffmpeg +``` + +### Ubuntu/Debian Users + +```bash +sudo apt install ffmpeg +sudo apt install libsox-dev +conda install -c conda-forge 'ffmpeg<7' +``` + +### Windows Users + +Download and place [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) and [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) in the GPT-SoVITS root. + +### MacOS Users +```bash +brew install ffmpeg +``` diff --git a/assets/docs/inference-animals.gif b/assets/docs/inference-animals.gif new file mode 100644 index 0000000000000000000000000000000000000000..d76f9ad289e5839ee74cf951e289389def1166d9 GIT binary patch literal 502328 zcmeEs`9DqrU0p>-TUA>}O>dPJNmm)GM>NydCh6;%8?Lf2)F&J3ni%U_85`P|=vkN=t~Mpv 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