Video

LTX-2.3 Distilled (V2V)

Credit-based pricing. Supports image-to-video, reference video, audio generation.

Try LTX-2.3 Distilled (V2V) →Compare models

Output

video

Aspect ratio

16:9, 9:16, 1:1

Resolution

1080p, 1440p

Duration

3s, 4s, 5s, 6s, 7s, 8s, 10s

Inputs

Reference video (required)

Start image (optional)
Reference audio (optional)
Generates audio

Example prompt

Faster and cheaper than full LTX-2.3 V2V — upload a reference video and describe any scene for quick high-quality style transfer

Try this prompt →

LLM-ready

API & LLM schema

Exact request contract for this model. Agents can fetch it from /api/v1/models?id=fal-ai/ltx-2.3-22b/distilled/reference-video-to-video.

POST/api/v1/generate36 fields · 3 required

Field	Type	Requirement	Contract
`model_id`	constant	Required	ArtEmotion model identifier.
`extra`	object	Optional	Model-specific settings may also be nested here.
`max_credits`	number	Optional	Reject before submission if the estimated list price exceeds this cap. · Range: 1–…
`webhook_url`	string	Optional	Format: uri
`webhook_secret`	string	Optional	Optional model input.
`folder_id`	string	Optional	Optional model input.
`prompt`	string	Required	Optional model input.
`preprocessor`	string	Optional	The preprocessor to use for the generation. · Allowed: depth, canny, pose, none · Default: none
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true
`ic_lora_type`	string	Optional	The IC LoRA type to use for the generation. · Allowed: match_preprocessor, union, detailer, none · Default: union
`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 ge · Default: true
`seed`	integer	Optional	The seed for the random number generator.
`video_strength`	number	Optional	Video conditioning strength. Lower values represent more freedom given to the model to change the video content. · Default: 1 · Range: 0–1
`audio_strength`	number	Optional	Audio conditioning strength. Lower values represent more freedom given to the model to change the audio content. · Default: 1 · Range: 0–1
`scheduler`	string	Optional	The scheduler to use. · Allowed: ltx2, linear_quadratic, beta · Default: ltx2
`match_video_length`	boolean	Optional	When enabled, the number of frames will be calculated based on the video duration and FPS. When disabled, use the specified num_frames. · Default: true
`distill_lora_second_pass_scale`	number	Optional	The scale of the distill LoRA to use for the second and subsequent passes. · Default: 0.5 · Range: 0–1
`num_frames`	number	Optional	The number of frames to generate. · Default: 121 · Range: 9–481
`acceleration`	string	Optional	The acceleration level to use. · Allowed: none, regular, high, full · Default: none
`video_write_mode`	string	Optional	The write mode of the generated video. · Allowed: fast, balanced, small · Default: balanced
`video_quality`	string	Optional	The quality of the generated video. · Allowed: low, medium, high, maximum · Default: high
`video_output_type`	string	Optional	The output type of the generated video. · Allowed: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: X264 (.mp4)
`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 mod · Default: 1 · Range: 0–1
`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 th · Allowed: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none · Default: none
`match_input_fps`	boolean	Optional	When true, match the output FPS to the input video's FPS instead of using the default target FPS. · Default: true
`negative_prompt`	string	Optional	The negative prompt to generate the video from. · Default: news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static
`enable_prompt_expansion`	boolean	Optional	Whether to enable prompt expansion. · Default: true
`enable_safety_checker`	boolean	Optional	Run the safety checker to block unsafe content. · Default: true
`fps`	number	Optional	The frames per second of the generated video. · Default: 24 · Range: 1–60
`aspect_ratio`	string	Optional	Allowed: 16:9, 9:16, 1:1
`resolution`	string	Optional	Allowed: 1080p, 1440p
`duration`	number	Optional	Allowed: 3, 4, 5, 6, 7, 8, 10
`image_url`	string	Optional	Format: uri
`end_image_url`	string	Optional	Format: uri
`video_url`	string	Required	Format: uri
`audio_url`	string	Optional	Format: uri

Minimal request example

{
  "model_id": "fal-ai/ltx-2.3-22b/distilled/reference-video-to-video",
  "prompt": "Faster and cheaper than full LTX-2.3 V2V — upload a reference video and describe any scene for quick high-quality style transfer",
  "video_url": "https://example.com/video"
}

Raw JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://www.artemotion.ai/api/v1/models?id=fal-ai%2Fltx-2.3-22b%2Fdistilled%2Freference-video-to-video",
  "title": "LTX-2.3 Distilled (V2V) generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/ltx-2.3-22b/distilled/reference-video-to-video.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/ltx-2.3-22b/distilled/reference-video-to-video",
      "description": "ArtEmotion model identifier."
    },
    "extra": {
      "type": "object",
      "additionalProperties": true,
      "description": "Model-specific settings may also be nested here."
    },
    "max_credits": {
      "type": "number",
      "minimum": 1,
      "description": "Reject before submission if the estimated list price exceeds this cap."
    },
    "webhook_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 2048
    },
    "webhook_secret": {
      "type": "string",
      "maxLength": 512
    },
    "folder_id": {
      "type": "string"
    },
    "prompt": {
      "type": "string"
    },
    "preprocessor": {
      "title": "Preprocessor",
      "description": "The preprocessor to use for the generation.",
      "default": "none",
      "type": "string",
      "enum": [
        "depth",
        "canny",
        "pose",
        "none"
      ]
    },
    "generate_audio": {
      "title": "Generate Audio",
      "description": "Whether to generate audio for the video.",
      "default": true,
      "type": "boolean"
    },
    "ic_lora_type": {
      "title": "IC-LoRA Type",
      "description": "The IC LoRA type to use for the generation.",
      "default": "union",
      "type": "string",
      "enum": [
        "match_preprocessor",
        "union",
        "detailer",
        "none"
      ]
    },
    "use_multiscale": {
      "title": "Use Multiscale",
      "description": "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 ge",
      "default": true,
      "type": "boolean"
    },
    "seed": {
      "title": "Seed",
      "description": "The seed for the random number generator.",
      "type": "integer"
    },
    "video_strength": {
      "title": "Video Strength",
      "description": "Video conditioning strength. Lower values represent more freedom given to the model to change the video content.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "audio_strength": {
      "title": "Audio Strength",
      "description": "Audio conditioning strength. Lower values represent more freedom given to the model to change the audio content.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "scheduler": {
      "title": "Scheduler",
      "description": "The scheduler to use.",
      "default": "ltx2",
      "type": "string",
      "enum": [
        "ltx2",
        "linear_quadratic",
        "beta"
      ]
    },
    "match_video_length": {
      "title": "Match Video Length",
      "description": "When enabled, the number of frames will be calculated based on the video duration and FPS. When disabled, use the specified num_frames.",
      "default": true,
      "type": "boolean"
    },
    "distill_lora_second_pass_scale": {
      "title": "Distill Lora Second Pass Scale",
      "description": "The scale of the distill LoRA to use for the second and subsequent passes.",
      "default": 0.5,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "num_frames": {
      "title": "Num Frames",
      "description": "The number of frames to generate.",
      "default": 121,
      "type": "number",
      "minimum": 9,
      "maximum": 481,
      "multipleOf": 1
    },
    "acceleration": {
      "title": "Acceleration",
      "description": "The acceleration level to use.",
      "default": "none",
      "type": "string",
      "enum": [
        "none",
        "regular",
        "high",
        "full"
      ]
    },
    "video_write_mode": {
      "title": "Video Write Mode",
      "description": "The write mode of the generated video.",
      "default": "balanced",
      "type": "string",
      "enum": [
        "fast",
        "balanced",
        "small"
      ]
    },
    "video_quality": {
      "title": "Video Quality",
      "description": "The quality of the generated video.",
      "default": "high",
      "type": "string",
      "enum": [
        "low",
        "medium",
        "high",
        "maximum"
      ]
    },
    "video_output_type": {
      "title": "Video Output Type",
      "description": "The output type of the generated video.",
      "default": "X264 (.mp4)",
      "type": "string",
      "enum": [
        "X264 (.mp4)",
        "VP9 (.webm)",
        "PRORES4444 (.mov)",
        "GIF (.gif)"
      ]
    },
    "camera_lora_scale": {
      "title": "Camera LoRA Scale",
      "description": "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 mod",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "camera_lora": {
      "title": "Camera LoRA",
      "description": "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 th",
      "default": "none",
      "type": "string",
      "enum": [
        "dolly_in",
        "dolly_out",
        "dolly_left",
        "dolly_right",
        "jib_up",
        "jib_down",
        "static",
        "none"
      ]
    },
    "match_input_fps": {
      "title": "Match Input Fps",
      "description": "When true, match the output FPS to the input video's FPS instead of using the default target FPS.",
      "default": true,
      "type": "boolean"
    },
    "negative_prompt": {
      "title": "Negative Prompt",
      "description": "The negative prompt to generate the video from.",
      "default": "news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static",
      "type": "string"
    },
    "enable_prompt_expansion": {
      "title": "Enable Prompt Expansion",
      "description": "Whether to enable prompt expansion.",
      "default": true,
      "type": "boolean"
    },
    "enable_safety_checker": {
      "title": "Enable Safety Checker",
      "description": "Run the safety checker to block unsafe content.",
      "default": true,
      "type": "boolean"
    },
    "fps": {
      "title": "Fps",
      "description": "The frames per second of the generated video.",
      "default": 24,
      "type": "number",
      "minimum": 1,
      "maximum": 60
    },
    "aspect_ratio": {
      "type": "string",
      "enum": [
        "16:9",
        "9:16",
        "1:1"
      ]
    },
    "resolution": {
      "type": "string",
      "enum": [
        "1080p",
        "1440p"
      ]
    },
    "duration": {
      "type": "number",
      "enum": [
        3,
        4,
        5,
        6,
        7,
        8,
        10
      ]
    },
    "image_url": {
      "type": "string",
      "format": "uri"
    },
    "end_image_url": {
      "type": "string",
      "format": "uri"
    },
    "video_url": {
      "type": "string",
      "format": "uri"
    },
    "audio_url": {
      "type": "string",
      "format": "uri"
    }
  },
  "required": [
    "model_id",
    "prompt",
    "video_url"
  ],
  "additionalProperties": false
}

Browse schemas for every ArtEmotion model →

FAQ

How much does LTX-2.3 Distilled (V2V) cost on ArtEmotion?

Credit-based pricing. You pay in ArtEmotion credits — every plan and top-up converts USD to credits at a fixed rate.

Do I get my credits back if LTX-2.3 Distilled (V2V) fails?

Yes — failed generations are never charged. The credits are released back to your balance automatically.

Can I call LTX-2.3 Distilled (V2V) from the API?

Yes. Use POST /api/v1/generate with model_id: "fal-ai/ltx-2.3-22b/distilled/reference-video-to-video". See the API reference for the full schema.

Where are my generations stored?

Every output is saved to your personal Library. You can export or delete everything any time from Privacy & deletion.

Ready to generate with LTX-2.3 Distilled (V2V)?

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