typetext
{
"fps": 24,
"guidance_scale": 3,
"height": 480,
"image": "https://replicate.delivery/pbxt/N0XnIwk5PobplTd9hSKlPZrGgZvwYa8ySIGAt0BQa9bgmA6y/oranges.png",
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 161,
"num_inference_steps": 50,
"prompt": "Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.",
"width": 704
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_YYC**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run lightricks/ltx-video-0.9.7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lightricks/ltx-video-0.9.7:b1a80c6dbce390c23bb52aecebc0e09d445ac12136dd4dc539350c76030fc815",
{
input: {
fps: 24,
guidance_scale: 3,
height: 480,
image: "https://replicate.delivery/pbxt/N0XnIwk5PobplTd9hSKlPZrGgZvwYa8ySIGAt0BQa9bgmA6y/oranges.png",
negative_prompt: "worst quality, inconsistent motion, blurry, jittery, distorted",
num_frames: 161,
num_inference_steps: 50,
prompt: "Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.",
width: 704
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_YYC**********************************
This is your API token. Keep it to yourself.
import replicate
Run lightricks/ltx-video-0.9.7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lightricks/ltx-video-0.9.7:b1a80c6dbce390c23bb52aecebc0e09d445ac12136dd4dc539350c76030fc815",
input={
"fps": 24,
"guidance_scale": 3,
"height": 480,
"image": "https://replicate.delivery/pbxt/N0XnIwk5PobplTd9hSKlPZrGgZvwYa8ySIGAt0BQa9bgmA6y/oranges.png",
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 161,
"num_inference_steps": 50,
"prompt": "Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.",
"width": 704
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_YYC**********************************
This is your API token. Keep it to yourself.
Run lightricks/ltx-video-0.9.7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "lightricks/ltx-video-0.9.7:b1a80c6dbce390c23bb52aecebc0e09d445ac12136dd4dc539350c76030fc815",
"input": {
"fps": 24,
"guidance_scale": 3,
"height": 480,
"image": "https://replicate.delivery/pbxt/N0XnIwk5PobplTd9hSKlPZrGgZvwYa8ySIGAt0BQa9bgmA6y/oranges.png",
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 161,
"num_inference_steps": 50,
"prompt": "Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.",
"width": 704
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "qmyvpkc8c1rma0cpsxe9jh7dwm",
"model": "lightricks/ltx-video-0.9.7",
"version": "b1a80c6dbce390c23bb52aecebc0e09d445ac12136dd4dc539350c76030fc815",
"input": {
"fps": 24,
"guidance_scale": 3,
"height": 480,
"image": "https://replicate.delivery/pbxt/N0XnIwk5PobplTd9hSKlPZrGgZvwYa8ySIGAt0BQa9bgmA6y/oranges.png",
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 161,
"num_inference_steps": 50,
"prompt": "Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.",
"width": 704
},
"logs": "Using seed: 39064\nOriginal inputs: width=704, height=480, num_frames=161\nProcessed inputs: width=704, height=480, num_frames=161\n[~] Using Image-to-Video pipeline\n[~] Generating video with prompt: 'Cinematic tracking shot through an orange grove, weaving between branches heavy with ripe fruit. The camera glides past clusters of oranges swaying in the breeze, leaves rustling gently. Sunlight filters through the canopy, creating soft, shifting patterns of light and shadow on the fruit and foliage. The motion feels smooth and immersive, like floating through a warm, late afternoon scene.'\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:39, 1.24it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.64it/s]\n 6%|▌ | 3/50 [00:02<00:32, 1.45it/s]\n 8%|▊ | 4/50 [00:02<00:33, 1.37it/s]\n 10%|█ | 5/50 [00:03<00:33, 1.34it/s]\n 12%|█▏ | 6/50 [00:04<00:33, 1.31it/s]\n 14%|█▍ | 7/50 [00:05<00:33, 1.30it/s]\n 16%|█▌ | 8/50 [00:05<00:32, 1.29it/s]\n 18%|█▊ | 9/50 [00:06<00:31, 1.28it/s]\n 20%|██ | 10/50 [00:07<00:31, 1.28it/s]\n 22%|██▏ | 11/50 [00:08<00:30, 1.28it/s]\n 24%|██▍ | 12/50 [00:09<00:29, 1.27it/s]\n 26%|██▌ | 13/50 [00:09<00:29, 1.27it/s]\n 28%|██▊ | 14/50 [00:10<00:28, 1.27it/s]\n 30%|███ | 15/50 [00:11<00:27, 1.27it/s]\n 32%|███▏ | 16/50 [00:12<00:26, 1.27it/s]\n 34%|███▍ | 17/50 [00:13<00:26, 1.27it/s]\n 36%|███▌ | 18/50 [00:13<00:25, 1.27it/s]\n 38%|███▊ | 19/50 [00:14<00:24, 1.27it/s]\n 40%|████ | 20/50 [00:15<00:23, 1.27it/s]\n 42%|████▏ | 21/50 [00:16<00:22, 1.26it/s]\n 44%|████▍ | 22/50 [00:17<00:22, 1.26it/s]\n 46%|████▌ | 23/50 [00:17<00:21, 1.26it/s]\n 48%|████▊ | 24/50 [00:18<00:20, 1.26it/s]\n 50%|█████ | 25/50 [00:19<00:19, 1.26it/s]\n 52%|█████▏ | 26/50 [00:20<00:19, 1.26it/s]\n 54%|█████▍ | 27/50 [00:21<00:18, 1.26it/s]\n 56%|█████▌ | 28/50 [00:21<00:17, 1.26it/s]\n 58%|█████▊ | 29/50 [00:22<00:16, 1.26it/s]\n 60%|██████ | 30/50 [00:23<00:15, 1.26it/s]\n 62%|██████▏ | 31/50 [00:24<00:15, 1.26it/s]\n 64%|██████▍ | 32/50 [00:24<00:14, 1.26it/s]\n 66%|██████▌ | 33/50 [00:25<00:13, 1.26it/s]\n 68%|██████▊ | 34/50 [00:26<00:12, 1.26it/s]\n 70%|███████ | 35/50 [00:27<00:11, 1.26it/s]\n 72%|███████▏ | 36/50 [00:28<00:11, 1.26it/s]\n 74%|███████▍ | 37/50 [00:28<00:10, 1.26it/s]\n 76%|███████▌ | 38/50 [00:29<00:09, 1.26it/s]\n 78%|███████▊ | 39/50 [00:30<00:08, 1.26it/s]\n 80%|████████ | 40/50 [00:31<00:07, 1.26it/s]\n 82%|████████▏ | 41/50 [00:32<00:07, 1.26it/s]\n 84%|████████▍ | 42/50 [00:32<00:06, 1.26it/s]\n 86%|████████▌ | 43/50 [00:33<00:05, 1.26it/s]\n 88%|████████▊ | 44/50 [00:34<00:04, 1.26it/s]\n 90%|█████████ | 45/50 [00:35<00:03, 1.26it/s]\n 92%|█████████▏| 46/50 [00:36<00:03, 1.26it/s]\n 94%|█████████▍| 47/50 [00:36<00:02, 1.26it/s]\n 96%|█████████▌| 48/50 [00:37<00:01, 1.25it/s]\n 98%|█████████▊| 49/50 [00:38<00:00, 1.25it/s]\n100%|██████████| 50/50 [00:39<00:00, 1.25it/s]\n100%|██████████| 50/50 [00:39<00:00, 1.27it/s]\n[+] Video generation complete: output.mp4",
"output": "https://replicate.delivery/xezq/kMeeedc3N8MpVp1VqeYhwNM5fifgPjsP4YglavjpHmU1wlJLF/output.mp4",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2025-05-14T15:14:30.112Z",
"started_at": "2025-05-14T15:15:20.036812Z",
"completed_at": "2025-05-14T15:16:19.728713Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/qmyvpkc8c1rma0cpsxe9jh7dwm/cancel",
"get": "https://api.replicate.com/v1/predictions/qmyvpkc8c1rma0cpsxe9jh7dwm",
"stream": "https://stream.replicate.com/v1/files/bcwr-ggybkgc22dcfojwds2o632ppuvu6y5i6ur4axozbylrfv7di5hva",
"web": "https://replicate.com/p/qmyvpkc8c1rma0cpsxe9jh7dwm"
},
"metrics": {
"predict_time": 59.691900125,
"total_time": 109.616713
}
}