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Running
on
L40S
import argparse | |
import gradio as gr | |
import os | |
import torch | |
import trimesh | |
import sys | |
sys.path.append("cube") | |
from cube3d.inference.engine import EngineFast | |
from pathlib import Path | |
import uuid | |
import shutil | |
GLOBAL_STATE = {} | |
def gen_save_folder(max_size=200): | |
os.makedirs(GLOBAL_STATE["SAVE_DIR"], exist_ok=True) | |
dirs = [f for f in Path(GLOBAL_STATE["SAVE_DIR"]).iterdir() if f.is_dir()] | |
if len(dirs) >= max_size: | |
oldest_dir = min(dirs, key=lambda x: x.stat().st_ctime) | |
shutil.rmtree(oldest_dir) | |
print(f"Removed the oldest folder: {oldest_dir}") | |
new_folder = os.path.join(GLOBAL_STATE["SAVE_DIR"], str(uuid.uuid4())) | |
os.makedirs(new_folder, exist_ok=True) | |
print(f"Created new folder: {new_folder}") | |
return new_folder | |
def handle_text_prompt(input_prompt, ): | |
mesh_v_f = GLOBAL_STATE["engine_fast"].t2s([input_prompt], use_kv_cache=True, resolution_base=8.0) | |
# save output | |
vertices, faces = mesh_v_f[0][0], mesh_v_f[0][1] | |
save_folder = gen_save_folder() | |
output_path = os.path.join(save_folder, "output.obj") | |
trimesh.Trimesh(vertices=vertices, faces=faces).export(output_path) | |
return output_path | |
def build_interface(): | |
"""Build UI for gradio app | |
Three tabs: | |
- Scene Generation | |
- Scene Completion | |
- Scene Understanding | |
""" | |
title = "Cube 3D" | |
with gr.Blocks(theme=gr.themes.Soft(), title=title, fill_width=True) as interface: | |
gr.Markdown( | |
f""" | |
# {title} | |
""" | |
) | |
with gr.Row(): | |
with gr.Column(scale=2): | |
with gr.Group(): | |
input_text_box = gr.Textbox( | |
value=None, | |
label="Prompt", | |
lines=2, | |
) | |
with gr.Row(): | |
submit_button = gr.Button("Submit", variant="primary") | |
with gr.Column(scale=3): | |
model3d = gr.Model3D( | |
label="Output", height="45em", interactive=False | |
) | |
submit_button.click( | |
handle_text_prompt, | |
inputs=[ | |
input_text_box | |
], | |
outputs=[ | |
model3d | |
] | |
) | |
return interface | |
if __name__=="__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument( | |
"--config_path", | |
type=str, | |
help="Path to the config file", | |
default="cube/cube3d/configs/open_model.yaml", | |
) | |
parser.add_argument( | |
"--gpt_ckpt_path", | |
type=str, | |
help="Path to the gpt ckpt path", | |
default="model_weights/shape_gpt.safetensors", | |
) | |
parser.add_argument( | |
"--shape_ckpt_path", | |
type=str, | |
help="Path to the shape ckpt path", | |
default="model_weights/shape_tokenizer.safetensors", | |
) | |
parser.add_argument( | |
"--save_dir", | |
type=str, | |
default="gradio_save_dir", | |
) | |
args = parser.parse_args() | |
engine_fast = EngineFast( | |
args.config_path, | |
args.gpt_ckpt_path, | |
args.shape_ckpt_path, | |
device=torch.device("cuda"), | |
) | |
GLOBAL_STATE["engine_fast"] = engine_fast | |
GLOBAL_STATE["SAVE_DIR"] = args.save_dir | |
os.makedirs(GLOBAL_STATE["SAVE_DIR"], exist_ok=True) | |
demo = build_interface() | |
demo.queue(default_concurrency_limit=None) | |
demo.launch() | |