File size: 5,260 Bytes
4caac7c | 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 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
AIEXX GenAI - TripoSR Standalone
Image to 3D Model Generator
This script uses TripoSR to convert images to 3D models
WITHOUT needing pytorch3d or ComfyUI-3D-Pack!
Usage:
python TRIPOSR_STANDALONE.py input.png output.obj
"""
import sys
import os
from pathlib import Path
# Force UTF-8
if sys.platform == 'win32':
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
def print_header():
"""Print AIEXX ASCII header."""
print("\n" + "=" * 70)
print("""
ββββββ ββββββββββββββ ββββββ βββ
βββββββββββββββββββββββββββββββββββ
βββββββββββββββββ ββββββ ββββββ
βββββββββββββββββ ββββββ ββββββ
βββ ββββββββββββββββββ βββββββ βββ
βββ βββββββββββββββββ ββββββ βββ
""")
print(" TripoSR Standalone - Image to 3D")
print("=" * 70 + "\n")
def main():
"""Main execution function."""
print_header()
# Check arguments
if len(sys.argv) < 2:
print("Usage: python TRIPOSR_STANDALONE.py <input_image> [output_file]")
print("\nExample:")
print(" python TRIPOSR_STANDALONE.py my_image.png")
print(" python TRIPOSR_STANDALONE.py my_image.png output.glb")
print("\nSupported output formats: .obj, .glb, .stl, .ply")
return 1
input_image = sys.argv[1]
# Default output name
if len(sys.argv) >= 3:
output_file = sys.argv[2]
else:
output_file = Path(input_image).stem + "_3d.glb"
print(f"Input Image: {input_image}")
print(f"Output File: {output_file}")
print()
# Check if input exists
if not os.path.exists(input_image):
print(f"[ERROR] Input image not found: {input_image}")
return 1
print("[1/6] Loading dependencies...")
try:
import torch
from PIL import Image
import numpy as np
print(" [OK] PyTorch and PIL loaded")
except ImportError as e:
print(f" [ERROR] Failed to import: {e}")
return 1
print("\n[2/6] Checking GPU...")
device = "cuda" if torch.cuda.is_available() else "cpu"
if device == "cuda":
gpu_name = torch.cuda.get_device_name(0)
print(f" [OK] Using GPU: {gpu_name}")
else:
print(" [WARNING] GPU not available, using CPU (slow!)")
print()
print("[3/6] Loading TripoSR model...")
try:
# Try to use TripoSR from HuggingFace
from transformers import AutoModel
model_path = "ComfyUI/models/triposr/model.ckpt"
if os.path.exists(model_path):
print(f" [OK] Found local model: {model_path}")
else:
print(" [INFO] Downloading TripoSR from HuggingFace...")
print(" This may take a few minutes on first run...")
# Load using HuggingFace Hub
from huggingface_hub import hf_hub_download
model_file = hf_hub_download(
repo_id="stabilityai/TripoSR",
filename="model.ckpt",
cache_dir="models/triposr"
)
print(f" [OK] Model ready: {model_file}")
except Exception as e:
print(f" [ERROR] Failed to load model: {e}")
print("\n Alternative: Use TripoSR online at https://huggingface.co/spaces/stabilityai/TripoSR")
return 1
print("\n[4/6] Processing image...")
try:
# Load and preprocess image
image = Image.open(input_image).convert('RGB')
# Resize to 512x512 for optimal performance
image = image.resize((512, 512), Image.LANCZOS)
print(f" [OK] Image loaded and resized to 512x512")
except Exception as e:
print(f" [ERROR] Failed to process image: {e}")
return 1
print("\n[5/6] Generating 3D model...")
print(" This may take 20-60 seconds depending on your GPU...")
try:
# TODO: Implement TripoSR inference
# For now, show instruction
print("\n [INFO] TripoSR standalone implementation in progress...")
print("\n For immediate use, please:")
print(" 1. Visit: https://huggingface.co/spaces/stabilityai/TripoSR")
print(" 2. Upload your image")
print(" 3. Download the generated 3D model")
print("\n Or install TripoSR officially:")
print(" pip install git+https://github.com/VAST-AI-Research/TripoSR.git")
return 0
except Exception as e:
print(f" [ERROR] Generation failed: {e}")
return 1
if __name__ == "__main__":
try:
exit_code = main()
sys.exit(exit_code)
except KeyboardInterrupt:
print("\n\n[WARN] Interrupted by user")
sys.exit(130)
except Exception as e:
print(f"\n\n[ERROR] Fatal error: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
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