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restructure a bit for more caching

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kijai
2024-07-21 20:20:46 +03:00
parent 4cefac79b8
commit 92fad03ee5
3 changed files with 193 additions and 157 deletions
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examples/liveportrait_video_example_02.json
+155 -134
View File
@@ -1,6 +1,6 @@
{
"last_node_id": 188,
"last_link_id": 443,
"last_node_id": 189,
"last_link_id": 447,
"nodes": [
{
"id": 81,
@@ -252,8 +252,8 @@
"name": "image",
"type": "IMAGE",
"links": [
296,
408
408,
445
],
"shape": 3,
"slot_index": 0
@@ -281,94 +281,6 @@
"Node name for S&R": "GetImageSizeAndCount"
}
},
{
"id": 1,
"type": "DownloadAndLoadLivePortraitModels",
"pos": [
546,
-518
],
"size": {
"0": 302.43463134765625,
"1": 58
},
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "live_portrait_pipe",
"type": "LIVEPORTRAITPIPE",
"links": [
407
],
"shape": 3,
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "DownloadAndLoadLivePortraitModels"
},
"widgets_values": [
"fp16"
]
},
{
"id": 131,
"type": "LivePortraitCropper",
"pos": [
-3,
-755
],
"size": {
"0": 330,
"1": 246
},
"flags": {},
"order": 16,
"mode": 0,
"inputs": [
{
"name": "cropper",
"type": "LPCROPPER",
"link": 295
},
{
"name": "source_image",
"type": "IMAGE",
"link": 296
}
],
"outputs": [
{
"name": "cropped_image",
"type": "IMAGE",
"links": null,
"shape": 3
},
{
"name": "crop_info",
"type": "CROPINFO",
"links": [
413
],
"shape": 3,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LivePortraitCropper"
},
"widgets_values": [
512,
2.3,
0,
-0.125,
0,
"large-small",
true
]
},
{
"id": 129,
"type": "LivePortraitLoadCropper",
@@ -381,15 +293,15 @@
"1": 82
},
"flags": {},
"order": 1,
"order": 0,
"mode": 0,
"outputs": [
{
"name": "cropper",
"type": "LPCROPPER",
"links": [
295,
403
403,
444
],
"shape": 3,
"slot_index": 0
@@ -440,7 +352,7 @@
"1": 270
},
"flags": {},
"order": 2,
"order": 1,
"mode": 0,
"outputs": [
{
@@ -588,7 +500,7 @@
{
"name": "crop_info",
"type": "CROPINFO",
"link": 413,
"link": 447,
"slot_index": 1
},
{
@@ -661,7 +573,7 @@
"1": 82
},
"flags": {},
"order": 3,
"order": 2,
"mode": 0,
"outputs": [
{
@@ -694,8 +606,8 @@
-371
],
"size": [
1103.397512192384,
697.5853490318566
1103.3974609375,
697.5853313577586
],
"flags": {},
"order": 20,
@@ -747,7 +659,7 @@
"hidden": false,
"paused": false,
"params": {
"filename": "LivePortrait_00009.mp4",
"filename": "LivePortrait_00001.mp4",
"subfolder": "",
"type": "temp",
"format": "video/h264-mp4",
@@ -988,6 +900,11 @@
"name": "source_image",
"type": "IMAGE",
"link": 437
},
{
"name": "source_image",
"type": "IMAGE",
"link": null
}
],
"outputs": [
@@ -1076,7 +993,7 @@
"1": 58
},
"flags": {},
"order": 4,
"order": 3,
"mode": 0,
"properties": {
"text": ""
@@ -1094,12 +1011,12 @@
39,
137
],
"size": [
229.16442871093705,
95.92726440429658
],
"size": {
"0": 229.1644287109375,
"1": 95.92726135253906
},
"flags": {},
"order": 5,
"order": 4,
"mode": 0,
"properties": {
"text": ""
@@ -1109,6 +1026,102 @@
],
"color": "#432",
"bgcolor": "#653"
},
{
"id": 1,
"type": "DownloadAndLoadLivePortraitModels",
"pos": [
-1244,
-870
],
"size": {
"0": 302.43463134765625,
"1": 58
},
"flags": {},
"order": 5,
"mode": 0,
"outputs": [
{
"name": "live_portrait_pipe",
"type": "LIVEPORTRAITPIPE",
"links": [
407,
446
],
"shape": 3,
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "DownloadAndLoadLivePortraitModels"
},
"widgets_values": [
"fp16"
]
},
{
"id": 189,
"type": "LivePortraitCropper",
"pos": [
-3,
-755
],
"size": {
"0": 330,
"1": 242
},
"flags": {},
"order": 16,
"mode": 0,
"inputs": [
{
"name": "pipeline",
"type": "LIVEPORTRAITPIPE",
"link": 446,
"slot_index": 0
},
{
"name": "cropper",
"type": "LPCROPPER",
"link": 444
},
{
"name": "source_image",
"type": "IMAGE",
"link": 445
}
],
"outputs": [
{
"name": "cropped_image",
"type": "IMAGE",
"links": null,
"shape": 3,
"slot_index": 0
},
{
"name": "crop_info",
"type": "CROPINFO",
"links": [
447
],
"shape": 3,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LivePortraitCropper"
},
"widgets_values": [
512,
2.3,
0,
-0.125,
0,
"large-small",
true
]
}
],
"links": [
@@ -1128,22 +1141,6 @@
0,
"MASK"
],
[
295,
129,
0,
131,
0,
"LPCROPPER"
],
[
296,
78,
0,
131,
1,
"IMAGE"
],
[
302,
133,
@@ -1200,14 +1197,6 @@
4,
"MASK"
],
[
413,
131,
1,
176,
1,
"CROPINFO"
],
[
426,
174,
@@ -1287,16 +1276,48 @@
186,
0,
"IMAGE"
],
[
444,
129,
0,
189,
1,
"LPCROPPER"
],
[
445,
78,
0,
189,
2,
"IMAGE"
],
[
446,
1,
0,
189,
0,
"LIVEPORTRAITPIPE"
],
[
447,
189,
1,
176,
1,
"CROPINFO"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.5644739300537777,
"scale": 0.6830134553650711,
"offset": {
"0": 1874.4561767578125,
"1": 1039.090087890625
"0": 1494.1269197578126,
"1": 923.177290890625
}
}
},
liveportrait/live_portrait_pipeline.py
+8 -21
View File
@@ -10,7 +10,7 @@ import numpy as np
from .config.inference_config import InferenceConfig
import torch
from .utils.camera import get_rotation_matrix
from .utils.crop import _transform_img, _transform_img_kornia
from .utils.crop import _transform_img_kornia
from .live_portrait_wrapper import LivePortraitWrapper
from .utils.retargeting_utils import calc_eye_close_ratio, calc_lip_close_ratio
from .utils.filter import smooth
@@ -68,23 +68,10 @@ class LivePortraitPipeline(object):
else:
total_frames = driving_images.shape[0]
source_info = []
source_rot_list = []
f_s_list = []
for i in tqdm(range(source_np.shape[0]), desc='Processing source images...', total=source_np.shape[0]):
#get source keypoints info
img_crop_256x256 = crop_info["crop_info_list"][i]["img_crop_256x256"]
I_s = self.live_portrait_wrapper.prepare_source(img_crop_256x256)
x_s_info = self.live_portrait_wrapper.get_kp_info(I_s)
f_s = self.live_portrait_wrapper.extract_feature_3d(I_s)
f_s_list.append(f_s)
source_info.append(x_s_info)
R_s = get_rotation_matrix(
x_s_info["pitch"], x_s_info["yaw"], x_s_info["roll"]
)
source_rot_list.append(R_s)
source_info = crop_info["source_info"]
source_rot_list = crop_info["source_rot_list"]
f_s_list = crop_info["f_s_list"]
x_s_list = crop_info["x_s_list"]
driving_info = []
driving_exp_list = []
@@ -137,11 +124,11 @@ class LivePortraitPipeline(object):
x_d_info = driving_info[i]
x_s_info = source_info[safe_index]
x_c_s = x_s_info["kp"]
R_s = source_rot_list[safe_index]
f_s = f_s_list[safe_index]
x_s = self.live_portrait_wrapper.transform_keypoint(x_s_info)
x_s = x_s_list[safe_index]
x_c_s = x_s_info["kp"]
#lip zero
if inference_cfg.flag_lip_zero:
nodes.py
+30 -2
View File
@@ -21,6 +21,7 @@ from .liveportrait.modules.appearance_feature_extractor import (
from .liveportrait.modules.stitching_retargeting_network import (
StitchingRetargetingNetwork,
)
from .liveportrait.utils.camera import get_rotation_matrix
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
@@ -402,6 +403,7 @@ class LivePortraitCropper:
@classmethod
def INPUT_TYPES(s):
return {"required": {
"pipeline": ("LIVEPORTRAITPIPE",),
"cropper": ("LPCROPPER",),
"source_image": ("IMAGE",),
"dsize": ("INT", {"default": 512, "min": 64, "max": 2048}),
@@ -429,7 +431,7 @@ class LivePortraitCropper:
FUNCTION = "process"
CATEGORY = "LivePortrait"
def process(self, cropper, source_image, dsize, scale, vx_ratio, vy_ratio, face_index, face_index_order, rotate):
def process(self, pipeline, cropper, source_image, dsize, scale, vx_ratio, vy_ratio, face_index, face_index_order, rotate):
source_image_np = (source_image * 255).byte().numpy()
crop_info_list = []
@@ -447,13 +449,39 @@ class LivePortraitCropper:
pbar.update(1)
source_info = []
source_rot_list = []
f_s_list = []
x_s_list = []
for i in tqdm(range(source_image_np.shape[0]), desc='Processing source images...', total=source_image_np.shape[0]):
#get source keypoints info
img_crop_256x256 = crop_info_list[i]["img_crop_256x256"]
I_s = pipeline.live_portrait_wrapper.prepare_source(img_crop_256x256)
x_s_info = pipeline.live_portrait_wrapper.get_kp_info(I_s)
f_s = pipeline.live_portrait_wrapper.extract_feature_3d(I_s)
f_s_list.append(f_s)
source_info.append(x_s_info)
x_s = pipeline.live_portrait_wrapper.transform_keypoint(x_s_info)
x_s_list.append(x_s)
R_s = get_rotation_matrix(
x_s_info["pitch"], x_s_info["yaw"], x_s_info["roll"]
)
source_rot_list.append(R_s)
cropped_tensors_out = (
torch.stack([torch.from_numpy(np_array) for np_array in cropped_images_list])
/ 255
)
crop_info_dict = {
'crop_info_list': crop_info_list
'crop_info_list': crop_info_list,
'source_rot_list': source_rot_list,
'f_s_list': f_s_list,
'x_s_list': x_s_list,
'source_info': source_info
}
return (cropped_tensors_out, crop_info_dict)