Video

LTX-2.3 Distilled (I2V LoRA)

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

Try LTX-2.3 Distilled (I2V LoRA) →Compare models

Output

video

Aspect ratio

16:9, 9:16, 1:1

Resolution

1080p, 1440p

Duration

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

Inputs

Start image (required)

Generates audio

Example prompt

An elegant wedding cake cakeifies — all elements transform into tiny cake replicas, frosting swirls, miniature tiers, whimsical transformation

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/image-to-video/lora.

POST/api/v1/generate37 fields · 4 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.
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true
`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
`num_frames`	number	Optional	The number of frames to generate. · Default: 121 · Range: 9–481
`video_quality`	string	Optional	The quality of the generated video. · Allowed: low, medium, high, maximum · Default: high
`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
`acceleration`	string	Optional	The acceleration level to use. · Allowed: none, regular, high, full · Default: none
`video_output_type`	string	Optional	The output type of the generated video. · Allowed: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: X264 (.mp4)
`seed`	integer	Optional	The seed for the random number generator.
`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
`video_write_mode`	string	Optional	The write mode of the generated video. · Allowed: fast, balanced, small · Default: balanced
`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
`end_image_strength`	number	Optional	The strength of the end image to use for the video generation. · Default: 1 · Range: 0–1
`image_strength`	number	Optional	The strength of the image to use for the video generation. · Default: 1 · Range: 0–1
`scheduler`	string	Optional	The scheduler to use. · Allowed: ltx2, linear_quadratic, beta · Default: ltx2
`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
`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 st · Allowed: forward, backward · Default: forward
`lora_path`	string	Required	URL or Hugging Face path to LoRA weights. Required for this model.
`lora_scale`	number	Optional	Strength of the LoRA effect. · Default: 1 · Range: 0–4
`lora_path_2`	string	Optional	URL or Hugging Face path to a second LoRA.
`lora_scale_2`	number	Optional	Strength of the second LoRA. · Default: 1 · Range: 0–4
`lora_path_3`	string	Optional	URL or Hugging Face path to a third LoRA.
`lora_scale_3`	number	Optional	Strength of the third LoRA. · Default: 1 · Range: 0–4
`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	Required	Format: uri
`end_image_url`	string	Optional	Format: uri

Minimal request example

{
  "model_id": "fal-ai/ltx-2.3-22b/distilled/image-to-video/lora",
  "prompt": "An elegant wedding cake cakeifies — all elements transform into tiny cake replicas, frosting swirls, miniature tiers, whimsical transformation",
  "lora_path": "your_lora_path",
  "image_url": "https://example.com/image"
}

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%2Fimage-to-video%2Flora",
  "title": "LTX-2.3 Distilled (I2V LoRA) generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/ltx-2.3-22b/distilled/image-to-video/lora.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/ltx-2.3-22b/distilled/image-to-video/lora",
      "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"
    },
    "generate_audio": {
      "title": "Generate Audio",
      "description": "Whether to generate audio for the video.",
      "default": true,
      "type": "boolean"
    },
    "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"
      ]
    },
    "num_frames": {
      "title": "Num Frames",
      "description": "The number of frames to generate.",
      "default": 121,
      "type": "number",
      "minimum": 9,
      "maximum": 481,
      "multipleOf": 1
    },
    "video_quality": {
      "title": "Video Quality",
      "description": "The quality of the generated video.",
      "default": "high",
      "type": "string",
      "enum": [
        "low",
        "medium",
        "high",
        "maximum"
      ]
    },
    "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
    },
    "acceleration": {
      "title": "Acceleration",
      "description": "The acceleration level to use.",
      "default": "none",
      "type": "string",
      "enum": [
        "none",
        "regular",
        "high",
        "full"
      ]
    },
    "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)"
      ]
    },
    "seed": {
      "title": "Seed",
      "description": "The seed for the random number generator.",
      "type": "integer"
    },
    "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"
    },
    "video_write_mode": {
      "title": "Video Write Mode",
      "description": "The write mode of the generated video.",
      "default": "balanced",
      "type": "string",
      "enum": [
        "fast",
        "balanced",
        "small"
      ]
    },
    "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
    },
    "end_image_strength": {
      "title": "End Image Strength",
      "description": "The strength of the end image to use for the video generation.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "image_strength": {
      "title": "Image Strength",
      "description": "The strength of the image to use for the video generation.",
      "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"
      ]
    },
    "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
    },
    "interpolation_direction": {
      "title": "Interpolation Direction",
      "description": "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 st",
      "default": "forward",
      "type": "string",
      "enum": [
        "forward",
        "backward"
      ]
    },
    "lora_path": {
      "title": "LoRA Path",
      "description": "URL or Hugging Face path to LoRA weights. Required for this model.",
      "type": "string"
    },
    "lora_scale": {
      "title": "LoRA Scale",
      "description": "Strength of the LoRA effect.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "lora_path_2": {
      "title": "LoRA Path 2",
      "description": "URL or Hugging Face path to a second LoRA.",
      "type": "string"
    },
    "lora_scale_2": {
      "title": "LoRA Scale 2",
      "description": "Strength of the second LoRA.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "lora_path_3": {
      "title": "LoRA Path 3",
      "description": "URL or Hugging Face path to a third LoRA.",
      "type": "string"
    },
    "lora_scale_3": {
      "title": "LoRA Scale 3",
      "description": "Strength of the third LoRA.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "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"
    }
  },
  "required": [
    "model_id",
    "prompt",
    "lora_path",
    "image_url"
  ],
  "additionalProperties": false
}

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FAQ

How much does LTX-2.3 Distilled (I2V LoRA) 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 (I2V LoRA) fails?

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

Can I call LTX-2.3 Distilled (I2V LoRA) from the API?

Yes. Use POST /api/v1/generate with model_id: "fal-ai/ltx-2.3-22b/distilled/image-to-video/lora". 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.

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