{
"frame_rate": 25,
"guidance_scale": 3,
"height": 480,
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 121,
"num_inference_steps": 40,
"prompt": "The waves crash against the jagged rocks of the shoreline. The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue-green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon.",
"width": 704
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Xc1**********************************
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 chenxwh/ltx-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chenxwh/ltx-video:69599cebad125acfd3d5c682c187702ea7a84d537603e46b468a44fe94c5fd13",
{
input: {
frame_rate: 25,
guidance_scale: 3,
height: 480,
negative_prompt: "worst quality, inconsistent motion, blurry, jittery, distorted",
num_frames: 121,
num_inference_steps: 40,
prompt: "The waves crash against the jagged rocks of the shoreline. The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue-green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon.",
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_Xc1**********************************
This is your API token. Keep it to yourself.
import replicate
Run chenxwh/ltx-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chenxwh/ltx-video:69599cebad125acfd3d5c682c187702ea7a84d537603e46b468a44fe94c5fd13",
input={
"frame_rate": 25,
"guidance_scale": 3,
"height": 480,
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 121,
"num_inference_steps": 40,
"prompt": "The waves crash against the jagged rocks of the shoreline. The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue-green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon.",
"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_Xc1**********************************
This is your API token. Keep it to yourself.
Run chenxwh/ltx-video 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": "chenxwh/ltx-video:69599cebad125acfd3d5c682c187702ea7a84d537603e46b468a44fe94c5fd13",
"input": {
"frame_rate": 25,
"guidance_scale": 3,
"height": 480,
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 121,
"num_inference_steps": 40,
"prompt": "The waves crash against the jagged rocks of the shoreline. The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue-green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon.",
"width": 704
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "4dksgm4f2drgm0ckbtmvay1qer",
"model": "chenxwh/ltx-video",
"version": "69599cebad125acfd3d5c682c187702ea7a84d537603e46b468a44fe94c5fd13",
"input": {
"frame_rate": 25,
"guidance_scale": 3,
"height": 480,
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"num_frames": 121,
"num_inference_steps": 40,
"prompt": "The waves crash against the jagged rocks of the shoreline. The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue-green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon.",
"width": 704
},
"logs": "Using seed: 27317\nSetting `clean_caption=True` requires the Beautiful Soup library but it was not found in your environment. You can install it with pip:\n`pip install beautifulsoup4`. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\nSetting `clean_caption=True` requires the Beautiful Soup library but it was not found in your environment. You can install it with pip:\n`pip install beautifulsoup4`. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\n 0%| | 0/40 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/functional.py:534: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3595.)\nreturn _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n 2%|▎ | 1/40 [00:00<00:29, 1.32it/s]\n 5%|▌ | 2/40 [00:01<00:20, 1.83it/s]\n 8%|▊ | 3/40 [00:01<00:22, 1.63it/s]\n 10%|█ | 4/40 [00:02<00:23, 1.55it/s]\n 12%|█▎ | 5/40 [00:03<00:23, 1.51it/s]\n 15%|█▌ | 6/40 [00:03<00:22, 1.49it/s]\n 18%|█▊ | 7/40 [00:04<00:22, 1.48it/s]\n 20%|██ | 8/40 [00:05<00:21, 1.47it/s]\n 22%|██▎ | 9/40 [00:05<00:21, 1.46it/s]\n 25%|██▌ | 10/40 [00:06<00:20, 1.46it/s]\n 28%|██▊ | 11/40 [00:07<00:19, 1.46it/s]\n 30%|███ | 12/40 [00:08<00:19, 1.46it/s]\n 32%|███▎ | 13/40 [00:08<00:18, 1.45it/s]\n 35%|███▌ | 14/40 [00:09<00:17, 1.45it/s]\n 38%|███▊ | 15/40 [00:10<00:17, 1.45it/s]\n 40%|████ | 16/40 [00:10<00:16, 1.45it/s]\n 42%|████▎ | 17/40 [00:11<00:15, 1.45it/s]\n 45%|████▌ | 18/40 [00:12<00:15, 1.45it/s]\n 48%|████▊ | 19/40 [00:12<00:14, 1.45it/s]\n 50%|█████ | 20/40 [00:13<00:13, 1.45it/s]\n 52%|█████▎ | 21/40 [00:14<00:13, 1.45it/s]\n 55%|█████▌ | 22/40 [00:14<00:12, 1.44it/s]\n 57%|█████▊ | 23/40 [00:15<00:11, 1.44it/s]\n 60%|██████ | 24/40 [00:16<00:11, 1.44it/s]\n 62%|██████▎ | 25/40 [00:17<00:10, 1.44it/s]\n 65%|██████▌ | 26/40 [00:17<00:09, 1.44it/s]\n 68%|██████▊ | 27/40 [00:18<00:09, 1.44it/s]\n 70%|███████ | 28/40 [00:19<00:08, 1.44it/s]\n 72%|███████▎ | 29/40 [00:19<00:07, 1.44it/s]\n 75%|███████▌ | 30/40 [00:20<00:06, 1.44it/s]\n 78%|███████▊ | 31/40 [00:21<00:06, 1.44it/s]\n 80%|████████ | 32/40 [00:21<00:05, 1.44it/s]\n 82%|████████▎ | 33/40 [00:22<00:04, 1.44it/s]\n 85%|████████▌ | 34/40 [00:23<00:04, 1.44it/s]\n 88%|████████▊ | 35/40 [00:23<00:03, 1.44it/s]\n 90%|█████████ | 36/40 [00:24<00:02, 1.44it/s]\n 92%|█████████▎| 37/40 [00:25<00:02, 1.44it/s]\n 95%|█████████▌| 38/40 [00:26<00:01, 1.44it/s]\n 98%|█████████▊| 39/40 [00:26<00:00, 1.44it/s]\n100%|██████████| 40/40 [00:27<00:00, 1.44it/s]\n100%|██████████| 40/40 [00:27<00:00, 1.46it/s]\n/src/ltx_video/pipelines/pipeline_ltx_video.py:1073: FutureWarning: Accessing config attribute `in_channels` directly via 'Transformer3DModel' object attribute is deprecated. Please access 'in_channels' over 'Transformer3DModel's config object instead, e.g. 'unet.config.in_channels'.\nout_channels=self.transformer.in_channels",
"output": "https://replicate.delivery/pbxt/FyGCkk6CAeRGDaBhXu1ePcbHDEZulZ7P3Oy99EoxfpnzOeQPB/out.mp4",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-11-24T14:53:10.803Z",
"started_at": "2024-11-24T15:01:15.955296Z",
"completed_at": "2024-11-24T15:01:47.107343Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/4dksgm4f2drgm0ckbtmvay1qer/cancel",
"get": "https://api.replicate.com/v1/predictions/4dksgm4f2drgm0ckbtmvay1qer",
"web": "https://replicate.com/p/4dksgm4f2drgm0ckbtmvay1qer"
},
"metrics": {
"predict_time": 31.15204648,
"total_time": 516.304343
}
}