import os import torch import sys # import spaces #fixme import random import gradio as gr import random from configs.infer_config import get_parser from huggingface_hub import hf_hub_download traj_examples = [ ['0 -35; 0 0; 0 -0.1'], ['0 -3 -15 -20 -17 -5 0; 0 -2 -5 -10 -8 -5 0 2 5 3 0; 0 0'], ['0 3 10 20 17 10 0; 0 -2 -8 -6 0 2 5 3 0; 0 -0.02 -0.09 -0.16 -0.09 0'], ['0 30; 0 -1 -5 -4 0 1 5 4 0; 0 -0.2'], ] # img_examples = [ # ['test/images/boy.png'], # ['test/images/car.jpeg'], # ['test/images/fruit.jpg'], # ['test/images/room.png'], # ['test/images/castle.png'], # ] img_examples = [ ['test/images/boy.png',0,1], ['test/images/car.jpeg',5,1], ['test/images/fruit.jpg',5,1], ['test/images/room.png',10,1], ['test/images/castle.png',-4,1], ] max_seed = 2 ** 31 def download_model(): REPO_ID = 'Drexubery/ViewCrafter_25' filename_list = ['model.ckpt'] for filename in filename_list: local_file = os.path.join('./checkpoints/', filename) if not os.path.exists(local_file): hf_hub_download(repo_id=REPO_ID, filename=filename, local_dir='./checkpoints/', force_download=True) # download_model() #fixme parser = get_parser() # infer_config.py opts = parser.parse_args() # default device: 'cuda:0' tmp = str(random.randint(10**(5-1), 10**5 - 1)) opts.save_dir = f'./{tmp}' os.makedirs(opts.save_dir,exist_ok=True) test_tensor = torch.Tensor([0]).cuda() opts.device = str(test_tensor.device) # opts.config = './configs/inference_pvd_1024_gradio.yaml' #fixme opts.config = './configs/inference_pvd_1024_local.yaml' #fixme # # install pytorch3d # fixme # pyt_version_str=torch.__version__.split("+")[0].replace(".", "") # version_str="".join([ # f"py3{sys.version_info.minor}_cu", # torch.version.cuda.replace(".",""), # f"_pyt{pyt_version_str}" # ]) # print(version_str) # os.system(f"{sys.executable} -m pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html") # os.system("mkdir -p checkpoints/ && wget https://download.europe.naverlabs.com/ComputerVision/DUSt3R/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth -P checkpoints/") # print(f'>>> System info: {version_str}') from viewcrafter import ViewCrafter CAMERA_MOTION_MODE = ["Basic Camera Trajectory", "Custom Camera Trajectory"] def show_traj(mode): if mode == 'Left': return gr.update(value='0 -35; 0 0; 0 0',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Right': return gr.update(value='0 35; 0 0; 0 0',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Up': return gr.update(value='0 0; 0 -30; 0 0',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Down': return gr.update(value='0 0; 0 20; 0 0',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Zoom in': return gr.update(value='0 0; 0 0; 0 -0.4',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Zoom out': return gr.update(value='0 0; 0 0; 0 0.4',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=False) elif mode == 'Customize': return gr.update(value='0 0; 0 0; 0 0',visible=True), gr.update(visible=True), gr.update(visible=True),gr.update(visible=True) elif mode == 'Reset': return gr.update(value='0 0; 0 0; 0 0',visible=False), gr.update(visible=False), gr.update(visible=False),gr.update(visible=False) def viewcrafter_demo(opts): css = """#input_img {max-width: 1024px !important} #output_vid {max-width: 1024px; max-height:576px} #random_button {max-width: 100px !important}""" image2video = ViewCrafter(opts, gradio = True) # image2video.run_traj_basic = spaces.GPU(image2video.run_traj_basic, duration=50) # fixme # image2video.run_traj = spaces.GPU(image2video.run_traj, duration=50) # fixme # image2video.run_gen = spaces.GPU(image2video.run_gen, duration=260) # fixme with gr.Blocks(analytics_enabled=False, css=css) as viewcrafter_iface: gr.Markdown("

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

\

\ Wangbo Yu, \ Jinbo Xing, Li Yuan, \ Wenbo Hu, Xiaoyu Li,\ Zhipeng Huang, Xiangjun Gao,\ Tien-Tsin Wong,\ Ying Shan\ Yonghong Tian\

\ [ArXiv] \ [Project Page] \ [Github] \ [Video]
") with gr.Row(): with gr.Column(): # # step 1: input an image # gr.Markdown("---\n## Step 1: Input an Image, selet an elevation angle and a center_scale factor", show_label=False, visible=True) # gr.Markdown("
1. Estimate an elevation angle that represents the angle at which the image was taken; a value bigger than 0 indicates a top-down view, and it doesn't need to be precise.
2. The origin of the world coordinate system is by default defined at the point cloud corresponding to the center pixel of the input image. You can adjust the position of the origin by modifying center_scale; a value smaller than 1 brings the origin closer to you.
") with gr.Row(): with gr.Column(): with gr.Row(): i2v_input_image = gr.Image(label="Input Image",elem_id="input_img") with gr.Row(): i2v_elevation = gr.Slider(minimum=-45, maximum=45, step=1, elem_id="elevation", label="elevation", value=5) i2v_center_scale = gr.Slider(minimum=0.1, maximum=2, step=0.1, elem_id="i2v_center_scale", label="center_scale", value=1) with gr.Column(): with gr.Row(): left = gr.Button(value = "Left") right = gr.Button(value = "Right") with gr.Row(): up = gr.Button(value = "Up") down = gr.Button(value = "Down") with gr.Row(): zin = gr.Button(value = "Zoom in") zout = gr.Button(value = "Zoom out") with gr.Row(): custom = gr.Button(value = "Customize") reset = gr.Button(value = "Reset") with gr.Column(): with gr.Row(): with gr.Column(): i2v_pose = gr.Text(value = '0 0; 0 0; 0 0', label='poses(d_phi;d_theta;d_r)',visible=False) with gr.Column(visible=False) as i2v_egs: gr.Markdown("
Please refer to the tutorial for customizing camera trajectory.
") gr.Examples(examples=traj_examples, inputs=[i2v_pose], ) with gr.Column(): i2v_traj_btn = gr.Button("2.Generate camera trajectory",visible=False) i2v_traj_video = gr.Video(label="Camera Trajectory",elem_id="traj_vid",autoplay=True,show_share_button=True,visible=False) # step 3 - Generate video with gr.Column(): # gr.Markdown("---\n## Step 3: Generate video", show_label=False, visible=True) # gr.Markdown("
You can reduce the sampling steps for faster inference; try different random seed if the result is not satisfying.
") with gr.Row(): with gr.Column(): i2v_output_video = gr.Video(label="Generated Video",elem_id="output_vid",autoplay=True,show_share_button=True) with gr.Column(): with gr.Row(): i2v_steps = gr.Slider(minimum=1, maximum=50, step=1, elem_id="i2v_steps", label="Sampling steps", value=50) i2v_seed = gr.Slider(label='Random seed', minimum=0, maximum=max_seed, step=1, value=0) i2v_end_btn = gr.Button("3.Generate video") # with gr.Tab(label='Result'): gr.Examples(examples=img_examples, inputs=[i2v_input_image,i2v_elevation, i2v_center_scale,], # examples_per_page=6 ) # generate trajectory buttn i2v_traj_btn.click(inputs=[i2v_input_image, i2v_elevation, i2v_center_scale, i2v_pose], outputs=[i2v_traj_video], fn = image2video.run_traj ) i2v_end_btn.click(inputs=[i2v_steps, i2v_seed], outputs=[i2v_output_video], fn = image2video.run_gen ) left.click(inputs=[left], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) right.click(inputs=[right], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) up.click(inputs=[up], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) down.click(inputs=[down], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) zin.click(inputs=[zin], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) zout.click(inputs=[zout], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) custom.click(inputs=[custom], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) reset.click(inputs=[reset], outputs=[i2v_pose,i2v_traj_btn,i2v_traj_video,i2v_egs], fn = show_traj ) return viewcrafter_iface viewcrafter_iface = viewcrafter_demo(opts) viewcrafter_iface.queue(max_size=10) # viewcrafter_iface.launch() #fixme viewcrafter_iface.launch(server_name='11.220.92.96', server_port=80, max_threads=10,debug=True)