Ltx 2 19b Image To Video LoRA
Playground
Try it 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.
Features
LTX-2 19B Image-to-Video LoRA
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.
Why Choose This?
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LoRA support Apply up to 3 custom LoRA adapters to personalize style, characters, or visual aesthetics.
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Image-conditioned video with audio Transforms a static image into a moving video with synchronized audio generated in a single pass.
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Preserves input composition Maintains the subject, framing, and lighting of your reference image while adding natural motion.
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High-fidelity output Leverages a 19B-parameter DiT architecture for detailed, temporally consistent video.
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Flexible resolution Supports 480p, 720p, and 1080p outputs to balance quality and cost.
Parameters
| 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) |
LoRA Format
Each LoRA in the loras array has:
- path (required) — URL to the LoRA weights file
- scale (optional) — Weight multiplier from 0-4, default 1
How to Use
- Upload your image — drag and drop or paste a public URL.
- Write your prompt — describe motion, style, and audio cues.
- Add LoRAs — click ”+ Add Item” to include custom LoRA adapters.
- Adjust LoRA scale — use 0.5-1.0 for subtle effects, 1.0-2.0 for stronger influence.
- Set resolution and duration — choose based on quality needs.
- Run — submit and download the generated video.
Pricing
| 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 |
Billing Rules
- Base price: $0.10 (720p, 5 seconds)
- Resolution multiplier: 480p = 0.75×, 720p = 1×, 1080p = 1.5×
- Duration: Scales linearly (per 5 seconds)
- Total cost = duration × $0.10 × resolution_multiplier / 5
Best Use Cases
- Custom Character Animation — Apply character LoRAs for consistent identity across videos.
- Brand Content — Use trained LoRAs for consistent brand visual identity.
- Artistic Styles — Apply style LoRAs for anime, painterly, or other aesthetics.
- Product Visualization — Customize product appearance with trained adapters.
Pro Tips
- Start with scale 1.0 and adjust up or down based on results.
- Combine LoRAs carefully — multiple LoRAs can conflict; test combinations.
- Match LoRA to content — use character LoRAs for character content, style LoRAs for aesthetics.
- Audio adapts automatically — the model generates appropriate audio even with custom styles.
- Use high-quality, sharp input images for best results.
Notes
- Maximum video duration is 20 seconds.
- Up to 3 LoRAs can be applied simultaneously.
- LoRA version pricing is 25% higher than standard version.
- The aspect ratio of output video is influenced by your input image.
Related Models
- LTX-2 19B Image-to-Video — Standard version without LoRA support.
- LTX-2 19B Text-to-Video LoRA — Text-to-video with LoRA support.
- LTX-2 19B Text-to-Video — Generate from text only.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/image-to-video-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"resolution": "720p",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image for the generation. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| resolution | string | No | 720p | 480p, 720p, 1080p | Video resolution. |
| duration | integer | No | 5 | 5 ~ 20 | The duration of the generated media in seconds. |
| loras | array | No | max 3 items | List of LoRAs to apply (max 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |