Spaces:
Paused
Paused
File size: 4,589 Bytes
a00b386 7883b3e a00b386 5c3bd86 a00b386 5c3bd86 a00b386 7883b3e a00b386 7883b3e a00b386 7883b3e a00b386 6b8d85f a00b386 6b8d85f a00b386 7883b3e b63560a 7883b3e b63560a a00b386 5c3bd86 a00b386 7883b3e a00b386 7883b3e a00b386 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 |
import gradio as gr
from share_btn import community_icon_html, loading_icon_html, share_js
from modelscope.pipelines import pipeline
from modelscope.outputs import OutputKeys
pipe = pipeline(task='image-to-video', model='damo/Image-to-Video', model_revision='v1.1.0')
def infer (image_in):
# IMG_PATH: your image path (url or local file)
IMG_PATH = image_in
output_video_path = pipe(IMG_PATH, output_video='output.mp4')[OutputKeys.OUTPUT_VIDEO]
print(output_video_path)
return output_video_path, gr.Group.update(visible=True)
css="""
#col-container {
max-width: 780px;
margin-left: auto;
margin-right: auto;
}
.animate-spin {
animation: spin 1s linear infinite;
}
@keyframes spin {
from {
transform: rotate(0deg);
}
to {
transform: rotate(360deg);
}
}
#share-btn-container {
display: flex;
padding-left: 0.5rem !important;
padding-right: 0.5rem !important;
background-color: #000000;
justify-content: center;
align-items: center;
border-radius: 9999px !important;
max-width: 13rem;
}
div#share-btn-container > div {
flex-direction: row;
background: black;
align-items: center;
}
#share-btn-container:hover {
background-color: #060606;
}
#share-btn {
all: initial;
color: #ffffff;
font-weight: 600;
cursor:pointer;
font-family: 'IBM Plex Sans', sans-serif;
margin-left: 0.5rem !important;
padding-top: 0.5rem !important;
padding-bottom: 0.5rem !important;
right:0;
}
#share-btn * {
all: unset;
}
#share-btn-container div:nth-child(-n+2){
width: auto !important;
min-height: 0px !important;
}
#share-btn-container .wrap {
display: none !important;
}
#share-btn-container.hidden {
display: none!important;
}
img[src*='#center'] {
display: block;
margin: auto;
}
.footer {
margin-bottom: 45px;
margin-top: 10px;
text-align: center;
border-bottom: 1px solid #e5e5e5;
}
.footer > p {
font-size: .8rem;
display: inline-block;
padding: 0 10px;
transform: translateY(10px);
background: white;
}
.dark .footer {
border-color: #303030;
}
.dark .footer > p {
background: #0b0f19;
}
"""
with gr.Blocks(css=css) as demo:
with gr.Column(elem_id="col-container"):
gr.Markdown("""
<h1 style="text-align: center;">
MS Image2Video
</h1>
<p style="text-align: center;">
Turn any image into a video ! <br />
To use this demo, simply upload an image and hit the Submit button. <br />
Don't forget to share your results with the Community ;)
</p>
[![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm.svg#center)](https://huggingface.co/spaces/fffiloni/MS-Image2Video-cloning?duplicate=true)
""")
image_in = gr.Image(
label = "Source Image",
source = "upload",
type = "filepath",
elem_id = "image-in"
)
submit_btn = gr.Button(
"Submit"
)
video_out = gr.Video(
label = "Video Result",
elem_id = "video-out"
)
with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
community_icon = gr.HTML(community_icon_html)
loading_icon = gr.HTML(loading_icon_html)
share_button = gr.Button("Share to community", elem_id="share-btn")
gr.HTML("""
<div class="footer">
<p>
MS-Image2Video Demo by 🤗 <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a>
</p>
</div>
""")
gr.Examples(
examples = [
[
"./examples/renaissance.png",
],
[
"./examples/reverie.png",
],
[
"./examples/animals_firecamp.png",
],
],
fn = infer,
inputs = [
image_in
],
outputs = [
video_out,
share_group
],
cache_examples = False
)
submit_btn.click(
fn = infer,
inputs = [
image_in
],
outputs = [
video_out,
share_group
]
)
share_button.click(None, [], [], _js=share_js)
demo.queue(max_size=20).launch()
|