lightricks/ltx-2.3-22b/distilled/text-to-video/lora
Ltx 2.3 22b Distilled Lora by Lightricks - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.
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/text-to-video/loraInput Schema
15 parameters · 1 required · 14 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate the video from. |
fps | number | Optional | The frames per second of the generated video. · Min: 1 · Max: 60 · Default: 24 |
seed | integer | Optional | The seed for the random number generator. |
loras | object[] | Optional | The LoRAs to use for the generation. |
scheduler | string | Optional | The scheduler to use. · Options: ltx2, linear_quadratic, beta · Default: "ltx2" ltx2linear_quadraticbeta |
num_frames | integer | Optional | The number of frames to generate. · Min: 9 · Max: 481 · Default: 121 |
video_size | string | Optional | The size of the generated video. · Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 · Default: "landscape_16_9" square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9 |
camera_lora | string | Optional | The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. · Options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none · Default: "none" dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticnone |
video_quality | string | Optional | The quality of the generated video. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum |
generate_audio | boolean | Optional | Whether to generate audio for the video. · Default: true |
use_multiscale | boolean | Optional | Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details. · Default: true |
video_write_mode | string | Optional | The write mode of the generated video. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall |
camera_lora_scale | number | Optional | The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. · Min: 0 · Max: 1 · Default: 1 |
video_output_type | string | Optional | The output type of the generated video. · Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: "X264 (.mp4)" X264 (.mp4)VP9 (.webm)PRORES4444 (.mov)GIF (.gif) |
distill_lora_second_pass_scale | number | Optional | The scale of the distill LoRA to use for the second and subsequent passes. · Min: 0 · Max: 1 · Default: 0.5 |
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/text-to-video/lora",
"fps": 24,
"prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
"scheduler": "ltx2",
"num_frames": 121,
"video_size": "landscape_16_9",
"camera_lora": "none",
"video_quality": "high",
"generate_audio": true,
"use_multiscale": true,
"video_write_mode": "balanced",
"camera_lora_scale": 1,
"video_output_type": "X264 (.mp4)",
"distill_lora_second_pass_scale": 0.5
}'
# 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 text-to-video creation 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 loras as creative context and exposes num frames, video size, generate audio, camera lora 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
- Prompt-to-scene generation. Builds the shot from written direction, including subject action, environment, lighting, lens language, and pacing.
- Synchronized audio path. Audio conditioning or generation is available in the same request, helping sound and picture share one creative plan.
- Adapter-based styling. LoRA inputs let teams layer specialized looks or learned concepts onto the base generation path.
- Directed camera motion. Camera-motion presets provide a repeatable way to ask for dollies, jibs, or a locked shot.
Pricing
| Billing unit | Price |
|---|---|
| Base request | $0.001405 |
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for text-to-video creation with custom LoRA adapters, rather than a neighboring generation mode. |
| Prepare the source | Provide a precise written brief 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 text-to-video creation 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 cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
"generate_audio": true
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-2.3-22b/distilled/text-to-video/lora |
| Required inputs | prompt |
| Execution | Asynchronous generation job |
| Request controls | 15 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
fps | number; Optional; Range: 1–60; Default: 24 |
seed | integer; Optional |
loras | array; Optional |
prompt | string; Required |
scheduler | string; Optional; Options: ltx2, linear_quadratic, beta; Default: "ltx2" |
num_frames | integer; Optional; Range: 9–481; Default: 121 |
video_size | string; Optional; Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9; Default: "landscape_16_9" |
camera_lora | string; Optional; Options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none; Default: "none" |
video_quality | string; Optional; Options: low, medium, high, maximum; Default: "high" |
generate_audio | boolean; Optional; Default: true |
use_multiscale | boolean; Optional; Default: true |
video_write_mode | string; Optional; Options: fast, balanced, small; Default: "balanced" |
camera_lora_scale | number; Optional; Range: 0–1; Default: 1 |
video_output_type | string; Optional; Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif); Default: "X264 (.mp4)" |
distill_lora_second_pass_scale | number; Optional; Range: 0–1; Default: 0.5 |

