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Running
on
Zero
import gc | |
import os | |
from copy import deepcopy | |
import gradio as gr | |
import numpy as np | |
import torch | |
from diffusers.training_utils import set_seed | |
from depthcrafter.depth_crafter_ppl import DepthCrafterPipeline | |
from depthcrafter.unet import DiffusersUNetSpatioTemporalConditionModelDepthCrafter | |
from depthcrafter.utils import read_video_frames, vis_sequence_depth, save_video | |
from run import DepthCrafterDemo | |
examples = [ | |
["examples/example_01.mp4", 25, 1.2, 1024, 195], | |
] | |
def construct_demo(): | |
with gr.Blocks(analytics_enabled=False) as depthcrafter_iface: | |
gr.Markdown( | |
""" | |
<div align='center'> <h1> DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos </span> </h1> \ | |
<h2 style='font-weight: 450; font-size: 1rem; margin: 0rem'>\ | |
<a href='https://wbhu.github.io'>Wenbo Hu</a>, \ | |
<a href='https://scholar.google.com/citations?user=qgdesEcAAAAJ&hl=en'>Xiangjun Gao</a>, \ | |
<a href='https://xiaoyu258.github.io/'>Xiaoyu Li</a>, \ | |
<a href='https://scholar.google.com/citations?user=tZ3dS3MAAAAJ&hl=en'>Sijie Zhao</a>, \ | |
<a href='https://vinthony.github.io/academic'> Xiaodong Cun</a>, \ | |
<a href='https://yzhang2016.github.io'>Yong Zhang</a>, \ | |
<a href='https://home.cse.ust.hk/~quan'>Long Quan</a>, \ | |
<a href='https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en'>Ying Shan</a>\ | |
</h2> \ | |
<a style='font-size:18px;color: #000000'>If you find DepthCrafter useful, please help star the </a>\ | |
<a style='font-size:18px;color: #FF5DB0' href='https://github.com/wbhu/DepthCrafter'>[Github Repo]</a>\ | |
<a style='font-size:18px;color: #000000'>, which is important to Open-Source projects. Thanks!</a>\ | |
<a style='font-size:18px;color: #000000' href='https://arxiv.org/abs/2409.02095'> [ArXiv] </a>\ | |
<a style='font-size:18px;color: #000000' href='https://depthcrafter.github.io/'> [Project Page] </a> </div> | |
""" | |
) | |
# demo | |
depthcrafter_demo = DepthCrafterDemo( | |
unet_path="tencent/DepthCrafter", | |
pre_train_path="stabilityai/stable-video-diffusion-img2vid-xt", | |
) | |
with gr.Row(equal_height=True): | |
with gr.Column(scale=1): | |
input_video = gr.Video(label="Input Video") | |
# with gr.Tab(label="Output"): | |
with gr.Column(scale=2): | |
with gr.Row(equal_height=True): | |
output_video_1 = gr.Video( | |
label="Preprocessed video", | |
interactive=False, | |
autoplay=True, | |
loop=True, | |
show_share_button=True, | |
scale=5, | |
) | |
output_video_2 = gr.Video( | |
label="Generated Depth Video", | |
interactive=False, | |
autoplay=True, | |
loop=True, | |
show_share_button=True, | |
scale=5, | |
) | |
with gr.Row(equal_height=True): | |
with gr.Column(scale=1): | |
with gr.Row(equal_height=False): | |
with gr.Accordion("Advanced Settings", open=False): | |
num_denoising_steps = gr.Slider( | |
label="num denoising steps", | |
minimum=1, | |
maximum=25, | |
value=25, | |
step=1, | |
) | |
guidance_scale = gr.Slider( | |
label="cfg scale", | |
minimum=1.0, | |
maximum=1.2, | |
value=1.2, | |
step=0.1, | |
) | |
max_res = gr.Slider( | |
label="max resolution", | |
minimum=512, | |
maximum=2048, | |
value=1024, | |
step=64, | |
) | |
process_length = gr.Slider( | |
label="process length", | |
minimum=1, | |
maximum=280, | |
value=195, | |
step=1, | |
) | |
generate_btn = gr.Button("Generate") | |
with gr.Column(scale=2): | |
pass | |
gr.Examples( | |
examples=examples, | |
inputs=[ | |
input_video, | |
num_denoising_steps, | |
guidance_scale, | |
max_res, | |
process_length, | |
], | |
outputs=[output_video_1, output_video_2], | |
fn=depthcrafter_demo.run, | |
cache_examples=False, | |
) | |
generate_btn.click( | |
fn=depthcrafter_demo.run, | |
inputs=[ | |
input_video, | |
num_denoising_steps, | |
guidance_scale, | |
max_res, | |
process_length, | |
], | |
outputs=[output_video_1, output_video_2], | |
) | |
return depthcrafter_iface | |
demo = construct_demo() | |
if __name__ == "__main__": | |
demo.queue() | |
# demo.launch(server_name="0.0.0.0", server_port=80, debug=True) | |
demo.launch(share=True) | |