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7c0e853 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 | """InteriorFusion CLI entry point."""
import argparse
import os
import sys
from pathlib import Path
import torch
from PIL import Image
from .pipelines import InteriorFusionPipeline
def parse_args():
parser = argparse.ArgumentParser(
description="InteriorFusion: Single image to 3D interior scene"
)
parser.add_argument(
"--image", "-i",
type=str,
required=True,
help="Path to input interior image",
)
parser.add_argument(
"--output", "-o",
type=str,
default="./output",
help="Output directory for generated 3D files",
)
parser.add_argument(
"--model-size",
type=str,
default="L",
choices=["S", "L", "XL"],
help="Model size: S (fast), L (balanced), XL (quality)",
)
parser.add_argument(
"--device",
type=str,
default="cuda" if torch.cuda.is_available() else "cpu",
help="Device for inference",
)
parser.add_argument(
"--dtype",
type=str,
default="float16",
choices=["float16", "bfloat16", "float32"],
help="Data type for inference",
)
parser.add_argument(
"--room-type",
type=str,
default=None,
help="Optional room type hint (living_room, bedroom, kitchen, etc.)",
)
parser.add_argument(
"--style",
type=str,
default=None,
help="Optional style hint (modern, scandinavian, luxury, etc.)",
)
parser.add_argument(
"--formats",
type=str,
default="glb,ply",
help="Comma-separated export formats (glb,fbx,obj,usdz,ply)",
)
parser.add_argument(
"--interactive",
action="store_true",
help="Launch interactive editing mode",
)
parser.add_argument(
"--no-pbr",
action="store_true",
help="Disable PBR material generation (faster)",
)
parser.add_argument(
"--no-gaussian",
action="store_true",
help="Disable Gaussian Splatting output",
)
return parser.parse_args()
def main():
args = parse_args()
# Validate input
if not os.path.exists(args.image):
print(f"Error: Image not found: {args.image}", file=sys.stderr)
sys.exit(1)
# Parse dtype
dtype_map = {
"float16": torch.float16,
"bfloat16": torch.bfloat16,
"float32": torch.float32,
}
dtype = dtype_map[args.dtype]
# Parse formats
formats = [f.strip() for f in args.formats.split(",")]
print(f"InteriorFusion {args.model_size}")
print(f" Device: {args.device}")
print(f" DType: {args.dtype}")
print(f" Input: {args.image}")
print(f" Output: {args.output}")
print(f" Formats: {formats}")
print()
# Load pipeline
print("Loading pipeline...")
pipeline = InteriorFusionPipeline(
model_size=args.model_size,
device=args.device,
dtype=dtype,
use_pbr=not args.no_pbr,
use_gaussian_splatting=not args.no_gaussian,
)
# Load image
print("Loading image...")
image = Image.open(args.image).convert("RGB")
print(f" Size: {image.size}")
# Generate
print("\nGenerating 3D scene...")
output = pipeline(
image=image,
room_type_hint=args.room_type,
style_hint=args.style,
)
# Export
print("\nExporting...")
output.export_all(args.output)
# Print results
print(f"\n{'='*50}")
print("Generation Complete!")
print(f"{'='*50}")
print(f" Time: {output.processing_time:.1f}s")
print(f" Room type: {output.room_type}")
print(f" Style: {output.style}")
print(f" Objects: {len(output.object_meshes)}")
print(f" Materials: {len(output.pbr_materials)}")
print()
# Export paths
if output.glb_path:
print(f" GLB: {output.glb_path}")
if output.fbx_path:
print(f" FBX: {output.fbx_path}")
if output.obj_path:
print(f" OBJ: {output.obj_path}")
if output.usdz_path:
print(f" USDZ: {output.usdz_path}")
if output.ply_path:
print(f" PLY (3DGS): {output.ply_path}")
if args.interactive:
print("\nInteractive editing not yet implemented in CLI.")
print("Use the Gradio app for interactive editing.")
print(f"\nDone!")
if __name__ == "__main__":
main()
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