import gradio as gr import subprocess import os import spaces # def install_cuda_toolkit(): # # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run" # # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run" # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run" # CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL) # subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE]) # subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE]) # subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"]) # os.environ["CUDA_HOME"] = "/usr/local/cuda" # os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"]) # os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % ( # os.environ["CUDA_HOME"], # "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"], # ) # # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range # os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6" # install_cuda_toolkit() # from gradio_tabs.animation import animation # from gradio_tabs.vid_edit import vid_edit extensions_dir = "./torch_extension/" os.environ["TORCH_EXTENSIONS_DIR"] = extensions_dir from networks.generator import Generator device = torch.device("cuda") gen = Generator(size=512, motion_dim=40, scale=2).to(device) gen.load_state_dict(torch.hub.load_state_dict_from_url(f"https://huggingface.co/YaohuiW/LIA-X/resolve/main/lia-x.pt")) gen.eval() def load_file(path): with open(path, 'r', encoding='utf-8') as f: content = f.read() return content custom_css = """ """ # def load_tabs(): # from gradio_tabs.animation import animation # from gradio_tabs.vid_edit import vid_edit # animation() # vid_edit() with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo: # ... (input/output setup remains unchanged) gr.HTML(load_file("assets/title.md")) with gr.Row(): with gr.Accordion(open=False, label="Instruction"): gr.Markdown(load_file("assets/instruction.md")) with gr.Row(): with gr.Tabs(): from gradio_tabs.animation import animation from gradio_tabs.vid_edit import vid_edit animation(gen) vid_edit(gen) #load_tabs() #animation() #vid_edit() #if __name__ == "__main__": demo.launch( server_name='0.0.0.0', #server_port=7803, #server_port=10008, share=True, allowed_paths=["./data/source","./data/driving"] )