Generative media
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The AI stack was built for language models.
We’re rebuilding it for world models.
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Generate robotic learning data at production scale.
curl "https://api.tensorscale.io/v2/ltx-2.5/fast" \
--max-time 7200 \
-H "Authorization: Bearer ${TENSORSCALE_API_KEY}" \
-H "Content-Type: application/json" \
-H "Accept: video/mp4" \
-d '{
"prompt": "A cinematic aerial push toward a lighthouse as waves roll against the cliffs.",
"width": 1280,
"height": 768,
"num_frames": 121,
"frame_rate": 24,
"seed": 10
}' \
--output "ltx2-5-fast.mp4"
import os
from pathlib import Path
import requests
resp = requests.post(
"https://api.tensorscale.io/v2/ltx-2.5/fast",
json={
"prompt": "A cinematic aerial push toward a lighthouse as waves roll against the cliffs.",
"width": 1280,
"height": 768,
"num_frames": 121,
"frame_rate": 24,
"seed": 10,
},
headers={
"Authorization": f"Bearer {os.environ['TENSORSCALE_API_KEY']}",
"Accept": "video/mp4",
},
timeout=7200,
)
resp.raise_for_status()
Path("ltx2-5-fast.mp4").write_bytes(resp.content)
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