LTX-2 19b Image-to-Video LoRA is the first DiT-based audio-video foundation model with synchronized audio and video generation. This LoRA version supports custom style adapters for personalized video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ожидание
$0.1за запуск·~10 / $1
LTX-2 Image-to-Video LoRA generates customized videos from images with synchronized audio and full LoRA support. Apply up to 3 custom LoRA adapters for style personalization — perfect for branded content, custom characters, and unique visual styles.
Looking for the standard version? Try LTX-2 19B Image-to-Video without LoRA support.
LoRA support Apply up to 3 custom LoRA adapters to personalize style, characters, or visual aesthetics.
Image-conditioned video with audio Transforms a static image into a moving video with synchronized audio generated in a single pass.
Preserves input composition Maintains the subject, framing, and lighting of your reference image while adding natural motion.
High-fidelity output Leverages a 19B-parameter DiT architecture for detailed, temporally consistent video.
Flexible resolution Supports 480p, 720p, and 1080p outputs to balance quality and cost.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to animate (upload or public URL) |
| prompt | Yes | Text description of motion, action, and audio cues |
| resolution | No | Output resolution: 480p, 720p (default), or 1080p |
| duration | No | Video length in seconds (5-20, default: 5) |
| loras | No | List of LoRA adapters to apply (up to 3) |
| seed | No | Random seed for reproducibility (-1 for random) |
Each LoRA in the loras array has:
| Resolution | 5s | 10s | 15s | 20s |
|---|---|---|---|---|
| 480p | $0.075 | $0.15 | $0.225 | $0.30 |
| 720p | $0.10 | $0.20 | $0.30 | $0.40 |
| 1080p | $0.15 | $0.30 | $0.45 | $0.60 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/image-to-video-lora with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ltx 2 19b Image To Video Lora below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/image-to-video-lora" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "720p",
"duration": 5,
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ltx-2-19b/image-to-video-lora", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "720p",
"duration": 5,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ltx-2-19b/image-to-video-lora",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "720p",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputLtx 2 19b Image To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. LTX-2 19b Image-to-Video LoRA is the first DiT-based audio-video foundation model with synchronized audio and video generation. This LoRA version supports custom style adapters for personalized video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2-19b-image-to-video-lora.
Ltx 2 19b Image To Video Lora starts at $0.10 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `loras`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2-19b-image-to-video-lora.
Average end-to-end generation time on WaveSpeedAI is around 89 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.