Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -153,7 +153,7 @@ def generate_image(
|
|
153 |
|
154 |
|
155 |
# -----------------------------
|
156 |
-
#
|
157 |
# -----------------------------
|
158 |
import requests
|
159 |
import random
|
@@ -161,7 +161,7 @@ import tempfile
|
|
161 |
import subprocess
|
162 |
from gradio_client import Client, handle_file
|
163 |
|
164 |
-
#
|
165 |
REMOTE_ENDPOINT = os.getenv("H100_URL")
|
166 |
|
167 |
client = Client(REMOTE_ENDPOINT)
|
@@ -169,7 +169,6 @@ client = Client(REMOTE_ENDPOINT)
|
|
169 |
def run_process_video_api(image_path: str, prompt: str, video_length: float = 2.0):
|
170 |
"""
|
171 |
์๊ฒฉ /process ์๋ํฌ์ธํธ ํธ์ถํ์ฌ ์์์ ์์ฑ.
|
172 |
-
(์์: prompt, negative_prompt, seed ๋ฑ์ ํ๋์ฝ๋ฉํ๊ฑฐ๋ ์ํ๋๋๋ก ์กฐ์ ๊ฐ๋ฅ)
|
173 |
"""
|
174 |
# ๋๋ค ์๋
|
175 |
seed_val = random.randint(0, 9999999)
|
@@ -605,7 +604,7 @@ def create_demo():
|
|
605 |
output_image = gr.Image(label="Generated Image", elem_id="output-image", format='png')
|
606 |
seed_output = gr.Textbox(label="Used Seed", elem_id="seed-output")
|
607 |
|
608 |
-
#
|
609 |
generate_video_btn = gr.Button("๐ฌ Generate Video from Image")
|
610 |
output_video = gr.Video(label="Generated Video", elem_id="video-output")
|
611 |
|
@@ -700,7 +699,7 @@ def create_demo():
|
|
700 |
fn=generate_image,
|
701 |
)
|
702 |
|
703 |
-
#
|
704 |
generate_btn.click(
|
705 |
fn=generate_image,
|
706 |
inputs=[
|
@@ -725,756 +724,7 @@ def create_demo():
|
|
725 |
outputs=[output_image, debug_image, seed_output],
|
726 |
)
|
727 |
|
728 |
-
#
|
729 |
-
def on_click_generate_video(img):
|
730 |
-
if img is None:
|
731 |
-
raise gr.Error("๋จผ์ ์ด๋ฏธ์ง๋ฅผ ์์ฑํด์ฃผ์ธ์.")
|
732 |
-
video_path = generate_video_from_image(img)
|
733 |
-
return video_path
|
734 |
-
|
735 |
-
generate_video_btn.click(
|
736 |
-
fn=on_click_generate_video,
|
737 |
-
inputs=[output_image],
|
738 |
-
outputs=[output_video],
|
739 |
-
)
|
740 |
-
|
741 |
-
return demo
|
742 |
-
|
743 |
-
|
744 |
-
if __name__ == '__main__':
|
745 |
-
demo = create_demo()
|
746 |
-
demo.launch(
|
747 |
-
server_name="0.0.0.0",
|
748 |
-
share=True,
|
749 |
-
ssr_mode=False
|
750 |
-
)import spaces
|
751 |
-
import argparse
|
752 |
-
import os
|
753 |
-
import shutil
|
754 |
-
import cv2
|
755 |
-
import gradio as gr
|
756 |
-
import numpy as np
|
757 |
-
import torch
|
758 |
-
from facexlib.utils.face_restoration_helper import FaceRestoreHelper
|
759 |
-
import huggingface_hub
|
760 |
-
from huggingface_hub import hf_hub_download
|
761 |
-
from PIL import Image
|
762 |
-
from torchvision.transforms.functional import normalize
|
763 |
-
|
764 |
-
from dreamo.dreamo_pipeline import DreamOPipeline
|
765 |
-
from dreamo.utils import img2tensor, resize_numpy_image_area, tensor2img, resize_numpy_image_long
|
766 |
-
from tools import BEN2
|
767 |
-
|
768 |
-
parser = argparse.ArgumentParser()
|
769 |
-
parser.add_argument('--port', type=int, default=8080)
|
770 |
-
parser.add_argument('--no_turbo', action='store_true')
|
771 |
-
args = parser.parse_args()
|
772 |
-
|
773 |
-
huggingface_hub.login(os.getenv('HF_TOKEN'))
|
774 |
-
|
775 |
-
try:
|
776 |
-
shutil.rmtree('gradio_cached_examples')
|
777 |
-
except FileNotFoundError:
|
778 |
-
print("cache folder not exist")
|
779 |
-
|
780 |
-
class Generator:
|
781 |
-
def __init__(self):
|
782 |
-
device = torch.device('cuda')
|
783 |
-
# preprocessing models
|
784 |
-
# background remove model: BEN2
|
785 |
-
self.bg_rm_model = BEN2.BEN_Base().to(device).eval()
|
786 |
-
hf_hub_download(repo_id='PramaLLC/BEN2', filename='BEN2_Base.pth', local_dir='models')
|
787 |
-
self.bg_rm_model.loadcheckpoints('models/BEN2_Base.pth')
|
788 |
-
# face crop and align tool: facexlib
|
789 |
-
self.face_helper = FaceRestoreHelper(
|
790 |
-
upscale_factor=1,
|
791 |
-
face_size=512,
|
792 |
-
crop_ratio=(1, 1),
|
793 |
-
det_model='retinaface_resnet50',
|
794 |
-
save_ext='png',
|
795 |
-
device=device,
|
796 |
-
)
|
797 |
-
|
798 |
-
# load dreamo
|
799 |
-
model_root = 'black-forest-labs/FLUX.1-dev'
|
800 |
-
dreamo_pipeline = DreamOPipeline.from_pretrained(model_root, torch_dtype=torch.bfloat16)
|
801 |
-
dreamo_pipeline.load_dreamo_model(device, use_turbo=not args.no_turbo)
|
802 |
-
self.dreamo_pipeline = dreamo_pipeline.to(device)
|
803 |
-
|
804 |
-
@torch.no_grad()
|
805 |
-
def get_align_face(self, img):
|
806 |
-
# the face preprocessing code is same as PuLID
|
807 |
-
self.face_helper.clean_all()
|
808 |
-
image_bgr = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
|
809 |
-
self.face_helper.read_image(image_bgr)
|
810 |
-
self.face_helper.get_face_landmarks_5(only_center_face=True)
|
811 |
-
self.face_helper.align_warp_face()
|
812 |
-
if len(self.face_helper.cropped_faces) == 0:
|
813 |
-
return None
|
814 |
-
align_face = self.face_helper.cropped_faces[0]
|
815 |
-
|
816 |
-
input = img2tensor(align_face, bgr2rgb=True).unsqueeze(0) / 255.0
|
817 |
-
input = input.to(torch.device("cuda"))
|
818 |
-
parsing_out = self.face_helper.face_parse(normalize(input, [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]))[0]
|
819 |
-
parsing_out = parsing_out.argmax(dim=1, keepdim=True)
|
820 |
-
bg_label = [0, 16, 18, 7, 8, 9, 14, 15]
|
821 |
-
bg = sum(parsing_out == i for i in bg_label).bool()
|
822 |
-
white_image = torch.ones_like(input)
|
823 |
-
# only keep the face features
|
824 |
-
face_features_image = torch.where(bg, white_image, input)
|
825 |
-
face_features_image = tensor2img(face_features_image, rgb2bgr=False)
|
826 |
-
|
827 |
-
return face_features_image
|
828 |
-
|
829 |
-
|
830 |
-
generator = Generator()
|
831 |
-
|
832 |
-
|
833 |
-
@spaces.GPU
|
834 |
-
@torch.inference_mode()
|
835 |
-
def generate_image(
|
836 |
-
ref_image1,
|
837 |
-
ref_image2,
|
838 |
-
ref_task1,
|
839 |
-
ref_task2,
|
840 |
-
prompt,
|
841 |
-
seed,
|
842 |
-
width=1024,
|
843 |
-
height=1024,
|
844 |
-
ref_res=512,
|
845 |
-
num_steps=12,
|
846 |
-
guidance=3.5,
|
847 |
-
true_cfg=1,
|
848 |
-
cfg_start_step=0,
|
849 |
-
cfg_end_step=0,
|
850 |
-
neg_prompt='',
|
851 |
-
neg_guidance=3.5,
|
852 |
-
first_step_guidance=0,
|
853 |
-
):
|
854 |
-
print(prompt)
|
855 |
-
ref_conds = []
|
856 |
-
debug_images = []
|
857 |
-
|
858 |
-
ref_images = [ref_image1, ref_image2]
|
859 |
-
ref_tasks = [ref_task1, ref_task2]
|
860 |
-
|
861 |
-
for idx, (ref_image, ref_task) in enumerate(zip(ref_images, ref_tasks)):
|
862 |
-
if ref_image is not None:
|
863 |
-
if ref_task == "id":
|
864 |
-
ref_image = resize_numpy_image_long(ref_image, 1024)
|
865 |
-
ref_image = generator.get_align_face(ref_image)
|
866 |
-
elif ref_task != "style":
|
867 |
-
ref_image = generator.bg_rm_model.inference(Image.fromarray(ref_image))
|
868 |
-
if ref_task != "id":
|
869 |
-
ref_image = resize_numpy_image_area(np.array(ref_image), ref_res * ref_res)
|
870 |
-
debug_images.append(ref_image)
|
871 |
-
ref_image = img2tensor(ref_image, bgr2rgb=False).unsqueeze(0) / 255.0
|
872 |
-
ref_image = 2 * ref_image - 1.0
|
873 |
-
ref_conds.append(
|
874 |
-
{
|
875 |
-
'img': ref_image,
|
876 |
-
'task': ref_task,
|
877 |
-
'idx': idx + 1,
|
878 |
-
}
|
879 |
-
)
|
880 |
-
|
881 |
-
seed = int(seed)
|
882 |
-
if seed == -1:
|
883 |
-
seed = torch.Generator(device="cpu").seed()
|
884 |
-
|
885 |
-
image = generator.dreamo_pipeline(
|
886 |
-
prompt=prompt,
|
887 |
-
width=width,
|
888 |
-
height=height,
|
889 |
-
num_inference_steps=num_steps,
|
890 |
-
guidance_scale=guidance,
|
891 |
-
ref_conds=ref_conds,
|
892 |
-
generator=torch.Generator(device="cpu").manual_seed(seed),
|
893 |
-
true_cfg_scale=true_cfg,
|
894 |
-
true_cfg_start_step=cfg_start_step,
|
895 |
-
true_cfg_end_step=cfg_end_step,
|
896 |
-
negative_prompt=neg_prompt,
|
897 |
-
neg_guidance_scale=neg_guidance,
|
898 |
-
first_step_guidance_scale=first_step_guidance if first_step_guidance > 0 else guidance,
|
899 |
-
).images[0]
|
900 |
-
|
901 |
-
return image, debug_images, seed
|
902 |
-
|
903 |
-
|
904 |
-
# -----------------------------
|
905 |
-
# (1) ์ฌ๊ธฐ์ ์์ API ํธ์ถ์ ์ํ ์ถ๊ฐ ์ฝ๋
|
906 |
-
# -----------------------------
|
907 |
-
import requests
|
908 |
-
import random
|
909 |
-
import tempfile
|
910 |
-
import subprocess
|
911 |
-
from gradio_client import Client, handle_file
|
912 |
-
|
913 |
-
# ์์: ์๊ฒฉ ์๋ฒ Endpoint (ํ์ํ๋ค๋ฉด ์์ )
|
914 |
-
REMOTE_ENDPOINT = os.getenv("H100_URL")
|
915 |
-
|
916 |
-
client = Client(REMOTE_ENDPOINT)
|
917 |
-
|
918 |
-
def run_process_video_api(image_path: str, prompt: str, video_length: float = 2.0):
|
919 |
-
"""
|
920 |
-
์๊ฒฉ /process ์๋ํฌ์ธํธ ํธ์ถํ์ฌ ์์์ ์์ฑ.
|
921 |
-
(์์: prompt, negative_prompt, seed ๋ฑ์ ํ๋์ฝ๋ฉํ๊ฑฐ๋ ์ํ๋๋๋ก ์กฐ์ ๊ฐ๋ฅ)
|
922 |
-
"""
|
923 |
-
# ๋๋ค ์๋
|
924 |
-
seed_val = random.randint(0, 9999999)
|
925 |
-
# negative_prompt = "" ๋ฑ ๊ณ ์
|
926 |
-
negative_prompt = ""
|
927 |
-
use_teacache = True
|
928 |
-
|
929 |
-
# /process ํธ์ถ (gradio_client)
|
930 |
-
result = client.predict(
|
931 |
-
input_image=handle_file(image_path),
|
932 |
-
prompt=prompt,
|
933 |
-
n_prompt=negative_prompt,
|
934 |
-
seed=seed_val,
|
935 |
-
use_teacache=use_teacache,
|
936 |
-
video_length=video_length,
|
937 |
-
api_name="/process",
|
938 |
-
)
|
939 |
-
# result๋ (video_dict, preview_dict, md_text, html_text) ๊ตฌ์กฐ
|
940 |
-
video_dict, preview_dict, md_text, html_text = result
|
941 |
-
video_path = video_dict.get("video") if isinstance(video_dict, dict) else None
|
942 |
-
return video_path
|
943 |
-
|
944 |
-
def add_watermark_to_video(input_video_path: str, watermark_text="Ginigen.com") -> str:
|
945 |
-
"""
|
946 |
-
FFmpeg๋ก ์์์ ์ค๋ฅธ์ชฝ ํ๋จ ์ํฐ๋งํฌ๋ฅผ ์ถ๊ฐํ ์ ์์์ ๋ฆฌํด
|
947 |
-
"""
|
948 |
-
if not os.path.exists(input_video_path):
|
949 |
-
raise FileNotFoundError(f"Input video not found: {input_video_path}")
|
950 |
-
|
951 |
-
# ์ถ๋ ฅ ๊ฒฝ๋ก
|
952 |
-
base, ext = os.path.splitext(input_video_path)
|
953 |
-
watermarked_path = base + "_wm" + ext
|
954 |
-
# ffmpeg ๋ช
๋ น์ด ๊ตฌ์ฑ
|
955 |
-
# - y: ๋ฎ์ด์ฐ๊ธฐ
|
956 |
-
# drawtext ํํฐ๋ก ์ค๋ฅธ์ชฝ ํ๋จ(x=w-tw-10, y=h-th-10)์ boxcolor=black ๋ฐํฌ๋ช
๋ฐ์ค
|
957 |
-
cmd = [
|
958 |
-
"ffmpeg", "-y",
|
959 |
-
"-i", input_video_path,
|
960 |
-
"-vf", f"drawtext=fontsize=20:fontcolor=white:text='{watermark_text}':x=w-tw-10:y=h-th-10:box=1:[email protected]:boxborderw=5",
|
961 |
-
"-codec:a", "copy",
|
962 |
-
watermarked_path
|
963 |
-
]
|
964 |
-
try:
|
965 |
-
subprocess.run(cmd, check=True)
|
966 |
-
except Exception as e:
|
967 |
-
print(f"[WARN] FFmpeg watermark failed: {e}")
|
968 |
-
return input_video_path # ์คํจ ์ ์๋ณธ ๋ฐํ
|
969 |
-
|
970 |
-
return watermarked_path
|
971 |
-
|
972 |
-
def generate_video_from_image(image_array: np.ndarray):
|
973 |
-
"""
|
974 |
-
1) Numpy ์ด๋ฏธ์ง๋ฅผ ์์ ํ์ผ๋ก ์ ์ฅ
|
975 |
-
2) ์๊ฒฉ API๋ก 2์ด ์์ ์์ฑ (๊ธฐ๋ณธ prompt ๊ณ ์ )
|
976 |
-
3) FFmpeg๋ก 'Ginigen.com' ์ํฐ๋งํฌ ์ถ๊ฐ
|
977 |
-
4) ์ต์ข
mp4 ๊ฒฝ๋ก ๋ฐํ
|
978 |
-
"""
|
979 |
-
if image_array is None:
|
980 |
-
raise gr.Error("์ด๋ฏธ์ง๊ฐ ์์ต๋๋ค.")
|
981 |
-
|
982 |
-
# (1) ์์ ํ์ผ๋ก ์ ์ฅ
|
983 |
-
with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as fp:
|
984 |
-
temp_img_path = fp.name
|
985 |
-
Image.fromarray(image_array).save(temp_img_path, format="PNG")
|
986 |
-
|
987 |
-
# (2) ์๊ฒฉ API ํธ์ถ
|
988 |
-
default_video_prompt = "Generate a video with smooth and natural movement. Objects should have visible motion while maintaining fluid transitions."
|
989 |
-
result_video_path = run_process_video_api(
|
990 |
-
image_path=temp_img_path,
|
991 |
-
prompt=default_video_prompt,
|
992 |
-
video_length=2.0,
|
993 |
-
)
|
994 |
-
if result_video_path is None:
|
995 |
-
raise gr.Error("์์ API ํธ์ถ ์คํจ ๋๋ ๊ฒฐ๊ณผ ์์")
|
996 |
-
|
997 |
-
# (3) FFmpeg ์ํฐ๋งํฌ ์ถ๊ฐ
|
998 |
-
final_video = add_watermark_to_video(result_video_path, watermark_text="Ginigen.com")
|
999 |
-
return final_video
|
1000 |
-
|
1001 |
-
|
1002 |
-
# -----------------------------
|
1003 |
-
# Custom CSS, Headers, etc.
|
1004 |
-
# -----------------------------
|
1005 |
-
_CUSTOM_CSS_ = """
|
1006 |
-
:root {
|
1007 |
-
--primary-color: #f8c3cd; /* Sakura pink - primary accent */
|
1008 |
-
--secondary-color: #b3e5fc; /* Pastel blue - secondary accent */
|
1009 |
-
--background-color: #f5f5f7; /* Very light gray background */
|
1010 |
-
--card-background: #ffffff; /* White for cards */
|
1011 |
-
--text-color: #424242; /* Dark gray for text */
|
1012 |
-
--accent-color: #ffb6c1; /* Light pink for accents */
|
1013 |
-
--success-color: #c8e6c9; /* Pastel green for success */
|
1014 |
-
--warning-color: #fff9c4; /* Pastel yellow for warnings */
|
1015 |
-
--shadow-color: rgba(0, 0, 0, 0.1); /* Shadow color */
|
1016 |
-
--border-radius: 12px; /* Rounded corners */
|
1017 |
-
}
|
1018 |
-
|
1019 |
-
body {
|
1020 |
-
background-color: var(--background-color) !important;
|
1021 |
-
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif !important;
|
1022 |
-
}
|
1023 |
-
|
1024 |
-
.gradio-container {
|
1025 |
-
max-width: 1200px !important;
|
1026 |
-
margin: 0 auto !important;
|
1027 |
-
padding-top: 0 !important;
|
1028 |
-
}
|
1029 |
-
|
1030 |
-
/* Remove any default margins that might push content up */
|
1031 |
-
#component-0 {
|
1032 |
-
margin-top: 0 !important;
|
1033 |
-
padding-top: 0 !important;
|
1034 |
-
}
|
1035 |
-
|
1036 |
-
/* Ensure the main container starts from the top */
|
1037 |
-
.main {
|
1038 |
-
margin-top: 0 !important;
|
1039 |
-
padding-top: 10px !important;
|
1040 |
-
}
|
1041 |
-
|
1042 |
-
/* Header styling */
|
1043 |
-
h1 {
|
1044 |
-
color: #9c27b0 !important;
|
1045 |
-
font-weight: 800 !important;
|
1046 |
-
text-shadow: 2px 2px 4px rgba(156, 39, 176, 0.2) !important;
|
1047 |
-
letter-spacing: -0.5px !important;
|
1048 |
-
}
|
1049 |
-
|
1050 |
-
/* Card styling for panels */
|
1051 |
-
.panel-box {
|
1052 |
-
border-radius: var(--border-radius) !important;
|
1053 |
-
box-shadow: 0 8px 16px var(--shadow-color) !important;
|
1054 |
-
background-color: var(--card-background) !important;
|
1055 |
-
border: none !important;
|
1056 |
-
overflow: hidden !important;
|
1057 |
-
padding: 20px !important;
|
1058 |
-
margin-bottom: 20px !important;
|
1059 |
-
}
|
1060 |
-
|
1061 |
-
/* Button styling */
|
1062 |
-
button.gr-button {
|
1063 |
-
background: linear-gradient(135deg, var(--primary-color), #e1bee7) !important;
|
1064 |
-
border-radius: var(--border-radius) !important;
|
1065 |
-
color: #4a148c !important;
|
1066 |
-
font-weight: 600 !important;
|
1067 |
-
border: none !important;
|
1068 |
-
padding: 10px 20px !important;
|
1069 |
-
transition: all 0.3s ease !important;
|
1070 |
-
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1) !important;
|
1071 |
-
}
|
1072 |
-
|
1073 |
-
button.gr-button:hover {
|
1074 |
-
transform: translateY(-2px) !important;
|
1075 |
-
box-shadow: 0 6px 10px rgba(0, 0, 0, 0.15) !important;
|
1076 |
-
background: linear-gradient(135deg, #e1bee7, var(--primary-color)) !important;
|
1077 |
-
}
|
1078 |
-
|
1079 |
-
/* Input fields styling */
|
1080 |
-
input, select, textarea, .gr-input {
|
1081 |
-
border-radius: 8px !important;
|
1082 |
-
border: 2px solid #e0e0e0 !important;
|
1083 |
-
padding: 10px 15px !important;
|
1084 |
-
transition: all 0.3s ease !important;
|
1085 |
-
background-color: #fafafa !important;
|
1086 |
-
}
|
1087 |
-
|
1088 |
-
input:focus, select:focus, textarea:focus, .gr-input:focus {
|
1089 |
-
border-color: var(--primary-color) !important;
|
1090 |
-
box-shadow: 0 0 0 3px rgba(248, 195, 205, 0.3) !important;
|
1091 |
-
}
|
1092 |
-
|
1093 |
-
/* Slider styling */
|
1094 |
-
.gr-form input[type=range] {
|
1095 |
-
appearance: none !important;
|
1096 |
-
width: 100% !important;
|
1097 |
-
height: 6px !important;
|
1098 |
-
background: #e0e0e0 !important;
|
1099 |
-
border-radius: 5px !important;
|
1100 |
-
outline: none !important;
|
1101 |
-
}
|
1102 |
-
|
1103 |
-
.gr-form input[type=range]::-webkit-slider-thumb {
|
1104 |
-
appearance: none !important;
|
1105 |
-
width: 16px !important;
|
1106 |
-
height: 16px !important;
|
1107 |
-
background: var(--primary-color) !important;
|
1108 |
-
border-radius: 50% !important;
|
1109 |
-
cursor: pointer !important;
|
1110 |
-
border: 2px solid white !important;
|
1111 |
-
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1) !important;
|
1112 |
-
}
|
1113 |
-
|
1114 |
-
/* Dropdown styling */
|
1115 |
-
.gr-form select {
|
1116 |
-
background-color: white !important;
|
1117 |
-
border: 2px solid #e0e0e0 !important;
|
1118 |
-
border-radius: 8px !important;
|
1119 |
-
padding: 10px 15px !important;
|
1120 |
-
}
|
1121 |
-
|
1122 |
-
.gr-form select option {
|
1123 |
-
padding: 10px !important;
|
1124 |
-
}
|
1125 |
-
|
1126 |
-
/* Image upload area */
|
1127 |
-
.gr-image-input {
|
1128 |
-
border: 2px dashed #b39ddb !important;
|
1129 |
-
border-radius: var(--border-radius) !important;
|
1130 |
-
background-color: #f3e5f5 !important;
|
1131 |
-
padding: 20px !important;
|
1132 |
-
display: flex !important;
|
1133 |
-
flex-direction: column !important;
|
1134 |
-
align-items: center !important;
|
1135 |
-
justify-content: center !important;
|
1136 |
-
transition: all 0.3s ease !important;
|
1137 |
-
}
|
1138 |
-
|
1139 |
-
.gr-image-input:hover {
|
1140 |
-
background-color: #ede7f6 !important;
|
1141 |
-
border-color: #9575cd !important;
|
1142 |
-
}
|
1143 |
-
|
1144 |
-
/* Remove the background pattern that might interfere with visibility */
|
1145 |
-
body::before {
|
1146 |
-
display: none !important;
|
1147 |
-
}
|
1148 |
-
|
1149 |
-
/* Gallery styling */
|
1150 |
-
.gr-gallery {
|
1151 |
-
grid-gap: 15px !important;
|
1152 |
-
}
|
1153 |
-
|
1154 |
-
.gr-gallery-item {
|
1155 |
-
border-radius: var(--border-radius) !important;
|
1156 |
-
overflow: hidden !important;
|
1157 |
-
box-shadow: 0 4px 8px var(--shadow-color) !important;
|
1158 |
-
transition: transform 0.3s ease !important;
|
1159 |
-
}
|
1160 |
-
|
1161 |
-
.gr-gallery-item:hover {
|
1162 |
-
transform: scale(1.02) !important;
|
1163 |
-
}
|
1164 |
-
|
1165 |
-
/* Label styling */
|
1166 |
-
.gr-form label {
|
1167 |
-
font-weight: 600 !important;
|
1168 |
-
color: #673ab7 !important;
|
1169 |
-
margin-bottom: 5px !important;
|
1170 |
-
}
|
1171 |
-
|
1172 |
-
/* Improve spacing */
|
1173 |
-
.gr-padded {
|
1174 |
-
padding: 20px !important;
|
1175 |
-
}
|
1176 |
-
|
1177 |
-
.gr-compact {
|
1178 |
-
gap: 15px !important;
|
1179 |
-
}
|
1180 |
-
|
1181 |
-
.gr-form > div {
|
1182 |
-
margin-bottom: 16px !important;
|
1183 |
-
}
|
1184 |
-
|
1185 |
-
/* Headings */
|
1186 |
-
.gr-form h3 {
|
1187 |
-
color: #7b1fa2 !important;
|
1188 |
-
margin-top: 5px !important;
|
1189 |
-
margin-bottom: 15px !important;
|
1190 |
-
border-bottom: 2px solid #e1bee7 !important;
|
1191 |
-
padding-bottom: 8px !important;
|
1192 |
-
}
|
1193 |
-
|
1194 |
-
/* Examples section */
|
1195 |
-
#examples-panel {
|
1196 |
-
background-color: #f3e5f5 !important;
|
1197 |
-
border-radius: var(--border-radius) !important;
|
1198 |
-
padding: 15px !important;
|
1199 |
-
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.05) !important;
|
1200 |
-
}
|
1201 |
-
|
1202 |
-
#examples-panel h2 {
|
1203 |
-
color: #7b1fa2 !important;
|
1204 |
-
font-size: 1.5rem !important;
|
1205 |
-
margin-bottom: 15px !important;
|
1206 |
-
}
|
1207 |
-
|
1208 |
-
/* Accordion styling */
|
1209 |
-
.gr-accordion {
|
1210 |
-
border: 1px solid #e0e0e0 !important;
|
1211 |
-
border-radius: var(--border-radius) !important;
|
1212 |
-
overflow: hidden !important;
|
1213 |
-
}
|
1214 |
-
|
1215 |
-
.gr-accordion summary {
|
1216 |
-
padding: 12px 16px !important;
|
1217 |
-
background-color: #f9f9f9 !important;
|
1218 |
-
cursor: pointer !important;
|
1219 |
-
font-weight: 600 !important;
|
1220 |
-
color: #673ab7 !important;
|
1221 |
-
}
|
1222 |
-
|
1223 |
-
/* Generate button special styling */
|
1224 |
-
#generate-btn {
|
1225 |
-
background: linear-gradient(135deg, #ff9a9e, #fad0c4) !important;
|
1226 |
-
font-size: 1.1rem !important;
|
1227 |
-
padding: 12px 24px !important;
|
1228 |
-
margin-top: 10px !important;
|
1229 |
-
margin-bottom: 15px !important;
|
1230 |
-
width: 100% !important;
|
1231 |
-
}
|
1232 |
-
|
1233 |
-
#generate-btn:hover {
|
1234 |
-
background: linear-gradient(135deg, #fad0c4, #ff9a9e) !important;
|
1235 |
-
}
|
1236 |
-
|
1237 |
-
/* Ensure proper scrolling behavior */
|
1238 |
-
html {
|
1239 |
-
scroll-behavior: smooth !important;
|
1240 |
-
}
|
1241 |
-
|
1242 |
-
/* Fix any overflow issues that might hide content */
|
1243 |
-
.contain {
|
1244 |
-
overflow: visible !important;
|
1245 |
-
}
|
1246 |
-
|
1247 |
-
/* Additional fixes for header visibility */
|
1248 |
-
.header-wrap {
|
1249 |
-
position: relative !important;
|
1250 |
-
margin-top: 0 !important;
|
1251 |
-
}
|
1252 |
-
|
1253 |
-
/* Ensure the first element is visible */
|
1254 |
-
.gradio-container > :first-child {
|
1255 |
-
margin-top: 0 !important;
|
1256 |
-
padding-top: 10px !important;
|
1257 |
-
}
|
1258 |
-
"""
|
1259 |
-
|
1260 |
-
_HEADER_ = '''
|
1261 |
-
<div style="text-align: center; max-width: 850px; margin: 0 auto; padding: 20px 0;">
|
1262 |
-
<div style="background: linear-gradient(135deg, #f8c3cd, #e1bee7, #b3e5fc); color: white; padding: 15px; border-radius: 15px; box-shadow: 0 10px 20px rgba(0,0,0,0.1); margin-bottom: 20px;">
|
1263 |
-
<h1 style="font-size: 3rem; font-weight: 800; margin: 0; color: white; text-shadow: 2px 2px 4px rgba(0,0,0,0.2);">โจ DreamO Video โจ</h1>
|
1264 |
-
<p style="font-size: 1.2rem; margin: 10px 0 0;">Create customized images with advanced AI</p>
|
1265 |
-
</div>
|
1266 |
-
|
1267 |
-
<div style="background: white; padding: 15px; border-radius: 12px; box-shadow: 0 5px 15px rgba(0,0,0,0.05);">
|
1268 |
-
<p style="font-size: 1rem; margin: 0;">In the current demo version, due to ZeroGPU limitations, video generation is restricted to 2 seconds only. (The full version supports generation of up to 60 seconds)</p>
|
1269 |
-
</div>
|
1270 |
-
|
1271 |
-
</div>
|
1272 |
-
|
1273 |
-
<div style="background: #fff9c4; padding: 15px; border-radius: 12px; margin-bottom: 20px; border-left: 5px solid #ffd54f; box-shadow: 0 5px 15px rgba(0,0,0,0.05);">
|
1274 |
-
<h3 style="margin-top: 0; color: #ff6f00;">๐ฉ Update Notes:</h3>
|
1275 |
-
<ul style="margin-bottom: 0; padding-left: 20px;">
|
1276 |
-
<li><b>2025.05.11:</b> We have updated the model to mitigate over-saturation and plastic-face issues. The new version shows consistent improvements over the previous release.</li>
|
1277 |
-
<li><b>2025.05.13:</b> 'DreamO Video' Integration version Release</li>
|
1278 |
-
</ul>
|
1279 |
-
</div>
|
1280 |
-
'''
|
1281 |
-
|
1282 |
-
_CITE_ = r"""
|
1283 |
-
<div style="background: white; padding: 20px; border-radius: 12px; margin-top: 20px; box-shadow: 0 5px 15px rgba(0,0,0,0.05);">
|
1284 |
-
<p style="margin: 0; font-size: 1.1rem;">If DreamO is helpful, please help to โญ the <a href='https://discord.gg/openfreeai' target='_blank' style="color: #9c27b0; font-weight: 600;">community</a>. Thanks!</p>
|
1285 |
-
<hr style="border: none; height: 1px; background-color: #e0e0e0; margin: 15px 0;">
|
1286 |
-
<h4 style="margin: 0 0 10px; color: #7b1fa2;">๐ง Contact</h4>
|
1287 |
-
<p style="margin: 0;">If you have any questions or feedback, feel free to open a discussion or contact <b>[email protected]</b></p>
|
1288 |
-
</div>
|
1289 |
-
"""
|
1290 |
-
|
1291 |
-
def create_demo():
|
1292 |
-
with gr.Blocks(css=_CUSTOM_CSS_) as demo:
|
1293 |
-
gr.HTML(_HEADER_)
|
1294 |
-
|
1295 |
-
gr.HTML(
|
1296 |
-
"""
|
1297 |
-
<div class='container' style='display:flex; justify-content:center; gap:12px; margin-bottom: 20px;'>
|
1298 |
-
<a href="https://huggingface.co/spaces/openfree/Best-AI" target="_blank">
|
1299 |
-
<img src="https://img.shields.io/static/v1?label=OpenFree&message=BEST%20AI%20Services&color=%230000ff&labelColor=%23000080&logo=huggingface&logoColor=%23ffa500&style=for-the-badge" alt="OpenFree badge">
|
1300 |
-
</a>
|
1301 |
-
|
1302 |
-
<a href="https://discord.gg/openfreeai" target="_blank">
|
1303 |
-
<img src="https://img.shields.io/static/v1?label=Discord&message=Openfree%20AI&color=%230000ff&labelColor=%23800080&logo=discord&logoColor=white&style=for-the-badge" alt="Discord badge">
|
1304 |
-
</a>
|
1305 |
-
</div>
|
1306 |
-
"""
|
1307 |
-
)
|
1308 |
-
|
1309 |
-
with gr.Row():
|
1310 |
-
with gr.Column(scale=6):
|
1311 |
-
with gr.Group(elem_id="input-panel", elem_classes="panel-box"):
|
1312 |
-
gr.Markdown("### ๐ธ Reference Images")
|
1313 |
-
with gr.Row():
|
1314 |
-
with gr.Column():
|
1315 |
-
ref_image1 = gr.Image(label="Reference Image 1", type="numpy", height=256, elem_id="ref-image-1")
|
1316 |
-
ref_task1 = gr.Dropdown(choices=["ip", "id", "style"], value="ip", label="Task for Reference Image 1", elem_id="ref-task-1")
|
1317 |
-
|
1318 |
-
with gr.Column():
|
1319 |
-
ref_image2 = gr.Image(label="Reference Image 2", type="numpy", height=256, elem_id="ref-image-2")
|
1320 |
-
ref_task2 = gr.Dropdown(choices=["ip", "id", "style"], value="ip", label="Task for Reference Image 2", elem_id="ref-task-2")
|
1321 |
-
|
1322 |
-
gr.Markdown("### โ๏ธ Generation Parameters")
|
1323 |
-
prompt = gr.Textbox(label="Prompt", value="a person playing guitar in the street", elem_id="prompt-input")
|
1324 |
-
|
1325 |
-
with gr.Row():
|
1326 |
-
width = gr.Slider(768, 1024, 1024, step=16, label="Width", elem_id="width-slider")
|
1327 |
-
height = gr.Slider(768, 1024, 1024, step=16, label="Height", elem_id="height-slider")
|
1328 |
-
|
1329 |
-
with gr.Row():
|
1330 |
-
num_steps = gr.Slider(8, 30, 12, step=1, label="Number of Steps", elem_id="steps-slider")
|
1331 |
-
guidance = gr.Slider(1.0, 10.0, 3.5, step=0.1, label="Guidance Scale", elem_id="guidance-slider")
|
1332 |
-
|
1333 |
-
seed = gr.Textbox(label="Seed (-1 for random)", value="-1", elem_id="seed-input")
|
1334 |
-
|
1335 |
-
with gr.Accordion("Advanced Options", open=False):
|
1336 |
-
ref_res = gr.Slider(512, 1024, 512, step=16, label="Resolution for Reference Image")
|
1337 |
-
neg_prompt = gr.Textbox(label="Negative Prompt", value="")
|
1338 |
-
neg_guidance = gr.Slider(1.0, 10.0, 3.5, step=0.1, label="Negative Guidance")
|
1339 |
-
|
1340 |
-
with gr.Row():
|
1341 |
-
true_cfg = gr.Slider(1, 5, 1, step=0.1, label="True CFG")
|
1342 |
-
first_step_guidance = gr.Slider(0, 10, 0, step=0.1, label="First Step Guidance")
|
1343 |
-
|
1344 |
-
with gr.Row():
|
1345 |
-
cfg_start_step = gr.Slider(0, 30, 0, step=1, label="CFG Start Step")
|
1346 |
-
cfg_end_step = gr.Slider(0, 30, 0, step=1, label="CFG End Step")
|
1347 |
-
|
1348 |
-
generate_btn = gr.Button("โจ Generate Image", elem_id="generate-btn")
|
1349 |
-
gr.HTML(_CITE_)
|
1350 |
-
|
1351 |
-
with gr.Column(scale=6):
|
1352 |
-
with gr.Group(elem_id="output-panel", elem_classes="panel-box"):
|
1353 |
-
gr.Markdown("### ๐ผ๏ธ Generated Result")
|
1354 |
-
output_image = gr.Image(label="Generated Image", elem_id="output-image", format='png')
|
1355 |
-
seed_output = gr.Textbox(label="Used Seed", elem_id="seed-output")
|
1356 |
-
|
1357 |
-
# (2) ์์ ์์ฑ ๋ฒํผ & ์ถ๋ ฅ ์์ญ ์ถ๊ฐ
|
1358 |
-
generate_video_btn = gr.Button("๐ฌ Generate Video from Image")
|
1359 |
-
output_video = gr.Video(label="Generated Video", elem_id="video-output")
|
1360 |
-
|
1361 |
-
gr.Markdown("### ๐ Preprocessing")
|
1362 |
-
debug_image = gr.Gallery(
|
1363 |
-
label="Preprocessing Results (including face crop and background removal)",
|
1364 |
-
elem_id="debug-gallery",
|
1365 |
-
)
|
1366 |
-
|
1367 |
-
with gr.Group(elem_id="examples-panel", elem_classes="panel-box"):
|
1368 |
-
gr.Markdown("## ๐ Examples")
|
1369 |
-
example_inps = [
|
1370 |
-
[
|
1371 |
-
'example_inputs/choi.jpg',
|
1372 |
-
None,
|
1373 |
-
'ip',
|
1374 |
-
'ip',
|
1375 |
-
'a woman sitting on the cloud, playing guitar',
|
1376 |
-
1206523688721442817,
|
1377 |
-
],
|
1378 |
-
[
|
1379 |
-
'example_inputs/choi.jpg',
|
1380 |
-
None,
|
1381 |
-
'id',
|
1382 |
-
'ip',
|
1383 |
-
'a woman holding a sign saying "TOP", on the mountain',
|
1384 |
-
10441727852953907380,
|
1385 |
-
],
|
1386 |
-
[
|
1387 |
-
'example_inputs/perfume.png',
|
1388 |
-
None,
|
1389 |
-
'ip',
|
1390 |
-
'ip',
|
1391 |
-
'a perfume under spotlight',
|
1392 |
-
116150031980664704,
|
1393 |
-
],
|
1394 |
-
[
|
1395 |
-
'example_inputs/choi.jpg',
|
1396 |
-
None,
|
1397 |
-
'id',
|
1398 |
-
'ip',
|
1399 |
-
'portrait, in alps',
|
1400 |
-
5443415087540486371,
|
1401 |
-
],
|
1402 |
-
[
|
1403 |
-
'example_inputs/mickey.png',
|
1404 |
-
None,
|
1405 |
-
'style',
|
1406 |
-
'ip',
|
1407 |
-
'generate a same style image. A rooster wearing overalls.',
|
1408 |
-
6245580464677124951,
|
1409 |
-
],
|
1410 |
-
[
|
1411 |
-
'example_inputs/mountain.png',
|
1412 |
-
None,
|
1413 |
-
'style',
|
1414 |
-
'ip',
|
1415 |
-
'generate a same style image. A pavilion by the river, and the distant mountains are endless',
|
1416 |
-
5248066378927500767,
|
1417 |
-
],
|
1418 |
-
[
|
1419 |
-
'example_inputs/shirt.png',
|
1420 |
-
'example_inputs/skirt.jpeg',
|
1421 |
-
'ip',
|
1422 |
-
'ip',
|
1423 |
-
'A girl is wearing a short-sleeved shirt and a short skirt on the beach.',
|
1424 |
-
9514069256241143615,
|
1425 |
-
],
|
1426 |
-
[
|
1427 |
-
'example_inputs/woman2.png',
|
1428 |
-
'example_inputs/dress.png',
|
1429 |
-
'id',
|
1430 |
-
'ip',
|
1431 |
-
'the woman wearing a dress, In the banquet hall',
|
1432 |
-
7698454872441022867,
|
1433 |
-
],
|
1434 |
-
[
|
1435 |
-
'example_inputs/dog1.png',
|
1436 |
-
'example_inputs/dog2.png',
|
1437 |
-
'ip',
|
1438 |
-
'ip',
|
1439 |
-
'two dogs in the jungle',
|
1440 |
-
6187006025405083344,
|
1441 |
-
],
|
1442 |
-
]
|
1443 |
-
gr.Examples(
|
1444 |
-
examples=example_inps,
|
1445 |
-
inputs=[ref_image1, ref_image2, ref_task1, ref_task2, prompt, seed],
|
1446 |
-
label='Examples by category: IP task (rows 1-4), ID task (row 5), Style task (rows 6-7), Try-On task (rows 8-9)',
|
1447 |
-
cache_examples='lazy',
|
1448 |
-
outputs=[output_image, debug_image, seed_output],
|
1449 |
-
fn=generate_image,
|
1450 |
-
)
|
1451 |
-
|
1452 |
-
# ๊ธฐ์กด ์ด๋ฏธ์ง ์์ฑ ํจ์์ ์ฐ๊ฒฐ
|
1453 |
-
generate_btn.click(
|
1454 |
-
fn=generate_image,
|
1455 |
-
inputs=[
|
1456 |
-
ref_image1,
|
1457 |
-
ref_image2,
|
1458 |
-
ref_task1,
|
1459 |
-
ref_task2,
|
1460 |
-
prompt,
|
1461 |
-
seed,
|
1462 |
-
width,
|
1463 |
-
height,
|
1464 |
-
ref_res,
|
1465 |
-
num_steps,
|
1466 |
-
guidance,
|
1467 |
-
true_cfg,
|
1468 |
-
cfg_start_step,
|
1469 |
-
cfg_end_step,
|
1470 |
-
neg_prompt,
|
1471 |
-
neg_guidance,
|
1472 |
-
first_step_guidance,
|
1473 |
-
],
|
1474 |
-
outputs=[output_image, debug_image, seed_output],
|
1475 |
-
)
|
1476 |
-
|
1477 |
-
# (3) ์์ ์์ฑ ๋ฒํผ ํด๋ฆญ -> generate_video_from_image() ํธ์ถ
|
1478 |
def on_click_generate_video(img):
|
1479 |
if img is None:
|
1480 |
raise gr.Error("๋จผ์ ์ด๋ฏธ์ง๋ฅผ ์์ฑํด์ฃผ์ธ์.")
|
|
|
153 |
|
154 |
|
155 |
# -----------------------------
|
156 |
+
# ์์ API ํธ์ถ์ ์ํ ์ถ๊ฐ ์ฝ๋
|
157 |
# -----------------------------
|
158 |
import requests
|
159 |
import random
|
|
|
161 |
import subprocess
|
162 |
from gradio_client import Client, handle_file
|
163 |
|
164 |
+
# ์๊ฒฉ ์๋ฒ Endpoint
|
165 |
REMOTE_ENDPOINT = os.getenv("H100_URL")
|
166 |
|
167 |
client = Client(REMOTE_ENDPOINT)
|
|
|
169 |
def run_process_video_api(image_path: str, prompt: str, video_length: float = 2.0):
|
170 |
"""
|
171 |
์๊ฒฉ /process ์๋ํฌ์ธํธ ํธ์ถํ์ฌ ์์์ ์์ฑ.
|
|
|
172 |
"""
|
173 |
# ๋๋ค ์๋
|
174 |
seed_val = random.randint(0, 9999999)
|
|
|
604 |
output_image = gr.Image(label="Generated Image", elem_id="output-image", format='png')
|
605 |
seed_output = gr.Textbox(label="Used Seed", elem_id="seed-output")
|
606 |
|
607 |
+
# ์์ ์์ฑ ๋ฒํผ & ์ถ๋ ฅ ์์ญ
|
608 |
generate_video_btn = gr.Button("๐ฌ Generate Video from Image")
|
609 |
output_video = gr.Video(label="Generated Video", elem_id="video-output")
|
610 |
|
|
|
699 |
fn=generate_image,
|
700 |
)
|
701 |
|
702 |
+
# ์ด๋ฏธ์ง ์์ฑ ํจ์์ ์ฐ๊ฒฐ
|
703 |
generate_btn.click(
|
704 |
fn=generate_image,
|
705 |
inputs=[
|
|
|
724 |
outputs=[output_image, debug_image, seed_output],
|
725 |
)
|
726 |
|
727 |
+
# ์์ ์์ฑ ๋ฒํผ ํด๋ฆญ -> generate_video_from_image() ํธ์ถ
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
728 |
def on_click_generate_video(img):
|
729 |
if img is None:
|
730 |
raise gr.Error("๋จผ์ ์ด๋ฏธ์ง๋ฅผ ์์ฑํด์ฃผ์ธ์.")
|