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20fa7e3 | 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 | #!/usr/bin/env python3
"""
Generate video using Google Veo or OpenAI Sora
Usage:
# With action (uses BASE_PROMPT template for robot retargeting)
python scripts/generate_video.py --action "Action sequence:
The subject stands upright for one second.
Walks forward with four steps.
Stops in a balanced position."
# With raw prompt (no template)
python scripts/generate_video.py --raw-prompt "A person dancing"
# With Sora
python scripts/generate_video.py --model sora --action "..."
# With Sora Pro (higher quality)
python scripts/generate_video.py --model sora-pro --action "..."
"""
import argparse
import json
import sys
from pathlib import Path
from datetime import datetime
sys.path.insert(0, str(Path(__file__).parent.parent))
from video2robot.utils import ensure_project_dir
def main():
parser = argparse.ArgumentParser(
description="Generate video using Veo or Sora",
formatter_class=argparse.RawDescriptionHelpFormatter,
)
# Model selection
parser.add_argument("--model", "-m", default="veo",
choices=["veo", "sora", "sora-pro"],
help="Video generation model (default: veo)")
# Prompt options (mutually exclusive)
prompt_group = parser.add_argument_group("Prompt options")
prompt_input = prompt_group.add_mutually_exclusive_group(required=True)
prompt_input.add_argument("--action", "-a",
help="Action sequence (uses BASE_PROMPT template for robot retargeting)")
prompt_input.add_argument("--raw-prompt", "-p",
help="Raw prompt without BASE_PROMPT template")
# Common arguments
parser.add_argument("--name", "-n", help="Project folder name (default: video_XXX)")
parser.add_argument("--duration", type=int, default=8,
help="Duration in seconds (Veo: 4-8, Sora: 4/8/12)")
# Veo-specific arguments
veo_group = parser.add_argument_group("Veo options")
veo_group.add_argument("--image", "-i", help="Input image for image-to-video (Veo only)")
veo_group.add_argument("--veo-model", default="veo-3.1-fast-generate-preview",
help="Veo model: veo-3.1-generate-preview, veo-3.1-fast-generate-preview, "
"veo-3.0-generate-001, veo-3.0-fast-generate-001, veo-2.0-generate-001")
veo_group.add_argument("--aspect-ratio", default="16:9", choices=["16:9", "9:16"],
help="Aspect ratio for Veo")
veo_group.add_argument("--seed", type=int, help="Random seed (Veo only)")
veo_group.add_argument("--negative", "-neg", help="Negative prompt (Veo only)")
veo_group.add_argument("--resolution", choices=["720p", "1080p"],
help="Resolution (Veo3+, 1080p requires 8s)")
veo_group.add_argument("--person", default="allow_all",
choices=["allow_all", "allow_adult", "dont_allow"],
help="Person generation (Veo only)")
# Sora-specific arguments
sora_group = parser.add_argument_group("Sora options")
sora_group.add_argument("--size", default="1280x720",
choices=["720x1280", "1280x720", "1024x1792", "1792x1024"],
help="Video size for Sora (default: 1280x720 = 16:9 landscape)")
args = parser.parse_args()
# Build final prompt
if args.action:
from video2robot.video.prompts import build_prompt
final_prompt = build_prompt(args.action)
action_text = args.action
else:
final_prompt = args.raw_prompt
action_text = None
# Create project directory
project_dir = ensure_project_dir(name=args.name)
output_path = project_dir / "original.mp4"
print(f"[Project] {project_dir}")
# Determine provider and model_id from --model argument
if args.model in ("sora", "sora-pro"):
provider = "sora"
sora_model_id = "sora-2-pro" if args.model == "sora-pro" else "sora-2"
else:
provider = "veo"
# Generate video based on provider
if provider == "sora":
from video2robot.video import SoraClient
client = SoraClient(model_id=sora_model_id)
client.generate(
prompt=final_prompt,
output_path=str(output_path),
size=args.size,
duration_seconds=args.duration,
)
# Save metadata
metadata = {
"created_at": datetime.now().isoformat(),
"action": action_text,
"prompt": final_prompt,
"model": args.model,
"provider": "sora",
"sora": {
"model_id": sora_model_id,
"size": args.size,
"duration_seconds": args.duration,
},
}
else:
from video2robot.video import VeoClient
client = VeoClient(model_id=args.veo_model)
client.generate(
prompt=final_prompt,
output_path=str(output_path),
image_path=args.image,
aspect_ratio=args.aspect_ratio,
duration_seconds=args.duration,
seed=args.seed,
negative_prompt=args.negative,
resolution=args.resolution,
person_generation=args.person,
)
# Save metadata
metadata = {
"created_at": datetime.now().isoformat(),
"action": action_text,
"prompt": final_prompt,
"model": args.model,
"provider": "veo",
"veo": {
"model_id": args.veo_model,
"aspect_ratio": args.aspect_ratio,
"duration_seconds": args.duration,
"seed": args.seed,
"negative_prompt": args.negative,
"resolution": args.resolution,
"person_generation": args.person,
},
}
with open(project_dir / "config.json", "w", encoding="utf-8") as f:
json.dump(metadata, f, indent=2, ensure_ascii=False)
print(f"\nDone!")
print(f" Project: {project_dir}")
print(f" Video: {output_path}")
print(f" Config: {project_dir / 'config.json'}")
if __name__ == "__main__":
main()
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