lightricks/ltx-2.3-22b/distilled/image-to-video/lora
Ltx 2.3 22b Distilled Lora is Lightricks's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runlightricks/ltx-2.3-22b/distilled/image-to-video/loraInput Schema
9 parameters · 2 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | The URL of the image to generate the video from. |
prompt | string | Required | The prompt used for the generation. |
seed | integer | Optional | The seed for the random number generator. |
loras | array | Optional | — |
end_image | string | Optional | The URL of the image to use as the end of the video. |
generate_audio | boolean | Optional | Whether to generate audio for the video. · Default: true |
image_strength | number | Optional | The strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1 |
end_image_strength | number | Optional | The strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1 |
interpolation_direction | string | Optional | The direction to interpolate the image sequence in. 'Forward' goes from the start image to the end image, 'Backward' goes from the end image to the start image. · Options: forward, backward · Default: "forward" forwardbackward |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "lightricks/ltx-2.3-22b/distilled/image-to-video/lora",
"image": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/distilled/image-to-video/lora/input_image_0.jpg",
"prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
"generate_audio": true,
"image_strength": 1,
"end_image_strength": 1,
"interpolation_direction": "forward"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
LTX-2.3 22B Distilled
LTX-2.3 22B Distilled is a image-to-video animation with custom LoRA adapters endpoint in the LTX 2.3 family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The distilled, LoRA-enabled route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts image, end image, loras as creative context and exposes generate audio, image strength for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.
Highlights
- Still-image animation. The required
imageis treated as the opening visual state; the prompt describes the movement that should unfold from it. - Directed landing frame.
end_imagecan set a destination composition, enabling an intentional transition rather than unconstrained drift. - Source-adherence control.
image_strengthadjusts how firmly the generated clip follows the source image. - Route-specific LoRA conditioning. The
lorasarray adds learned styling or concepts to this image to video workflow without replacing its required source inputs. Forlightricks/ltx-2.3-22b/distilled/image-to-video/lora, this task-specific control is documented alongside the route’s own required inputs.
Pricing
| Billing unit | Price |
|---|---|
| Base request | $0.001405 |
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for image-to-video animation with custom LoRA adapters, rather than a neighboring generation mode. |
| Prepare the source | Provide image in the format described by the request schema. |
| Direct the shot | Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order. |
| Control continuity | Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose. |
| Plan delivery | Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported. |
Prompt Guide
For image-to-video animation with custom LoRA adapters, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.
{
"prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
"image": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/distilled/image-to-video/lora/input_image_0.jpg",
"generate_audio": true,
"end_image": "https://example.com/reference.jpg"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-2.3-22b/distilled/image-to-video/lora |
| Required inputs | prompt, image |
| Execution | Asynchronous generation job |
| Request controls | 9 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
seed | integer; Optional |
image | string; Required |
loras | array; Optional |
prompt | string; Required |
end_image | string; Optional |
generate_audio | boolean; Optional; Default: true |
image_strength | number; Optional; Range: 0–1; Default: 1 |
end_image_strength | number; Optional; Range: 0–1; Default: 1 |
interpolation_direction | string; Optional; Options: forward, backward; Default: "forward" |

