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ArtEmotion
Video

LTX-2.3 Distilled (T2V LoRA)

Credit-based pricing. Supports audio generation.

Output
video
Aspect ratio
16:9, 9:16, 1:1
Resolution
1080p, 1440p
Duration
3s, 4s, 5s, 6s, 7s, 8s, 10s

Inputs

  • Generates audio

Example prompt

A fluffy Persian cat squishes flat like a pancake on a sunny window sill, then pops back up, playful loop, soft warm light
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/text-to-video/lora.

POST/api/v1/generate32 fields · 3 required
FieldTypeRequirementContract
model_idconstantRequiredArtEmotion model identifier.
extraobjectOptionalModel-specific settings may also be nested here.
max_creditsnumberOptionalReject before submission if the estimated list price exceeds this cap. · Range: 1–…
webhook_urlstringOptionalFormat: uri
webhook_secretstringOptionalOptional model input.
folder_idstringOptionalOptional model input.
promptstringRequiredOptional model input.
distill_lora_second_pass_scalenumberOptionalThe scale of the distill LoRA to use for the second and subsequent passes. · Default: 0.5 · Range: 0–1
camera_lorastringOptionalThe 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_framesnumberOptionalThe number of frames to generate. · Default: 121 · Range: 9–481
video_qualitystringOptionalThe quality of the generated video. · Allowed: low, medium, high, maximum · Default: high
accelerationstringOptionalThe acceleration level to use. · Allowed: none, regular, high, full · Default: none
camera_lora_scalenumberOptionalThe 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
generate_audiobooleanOptionalWhether to generate audio for the video. · Default: true
seedintegerOptionalThe seed for the random number generator.
use_multiscalebooleanOptionalWhether 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_output_typestringOptionalThe output type of the generated video. · Allowed: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: X264 (.mp4)
video_write_modestringOptionalThe write mode of the generated video. · Allowed: fast, balanced, small · Default: balanced
schedulerstringOptionalThe scheduler to use. · Allowed: ltx2, linear_quadratic, beta · Default: ltx2
negative_promptstringOptionalThe 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_expansionbooleanOptionalWhether to enable prompt expansion. · Default: true
enable_safety_checkerbooleanOptionalRun the safety checker to block unsafe content. · Default: true
fpsnumberOptionalThe frames per second of the generated video. · Default: 24 · Range: 1–60
lora_pathstringRequiredURL or Hugging Face path to LoRA weights. Required for this model.
lora_scalenumberOptionalStrength of the LoRA effect. · Default: 1 · Range: 0–4
lora_path_2stringOptionalURL or Hugging Face path to a second LoRA.
lora_scale_2numberOptionalStrength of the second LoRA. · Default: 1 · Range: 0–4
lora_path_3stringOptionalURL or Hugging Face path to a third LoRA.
lora_scale_3numberOptionalStrength of the third LoRA. · Default: 1 · Range: 0–4
aspect_ratiostringOptionalAllowed: 16:9, 9:16, 1:1
resolutionstringOptionalAllowed: 1080p, 1440p
durationnumberOptionalAllowed: 3, 4, 5, 6, 7, 8, 10
Minimal request example
{
  "model_id": "fal-ai/ltx-2.3-22b/distilled/text-to-video/lora",
  "prompt": "A fluffy Persian cat squishes flat like a pancake on a sunny window sill, then pops back up, playful loop, soft warm light",
  "lora_path": "your_lora_path"
}
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%2Ftext-to-video%2Flora",
  "title": "LTX-2.3 Distilled (T2V LoRA) generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/ltx-2.3-22b/distilled/text-to-video/lora.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/ltx-2.3-22b/distilled/text-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"
    },
    "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
    },
    "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"
      ]
    },
    "acceleration": {
      "title": "Acceleration",
      "description": "The acceleration level to use.",
      "default": "none",
      "type": "string",
      "enum": [
        "none",
        "regular",
        "high",
        "full"
      ]
    },
    "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
    },
    "generate_audio": {
      "title": "Generate Audio",
      "description": "Whether to generate audio for the video.",
      "default": true,
      "type": "boolean"
    },
    "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_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)"
      ]
    },
    "video_write_mode": {
      "title": "Video Write Mode",
      "description": "The write mode of the generated video.",
      "default": "balanced",
      "type": "string",
      "enum": [
        "fast",
        "balanced",
        "small"
      ]
    },
    "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
    },
    "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
      ]
    }
  },
  "required": [
    "model_id",
    "prompt",
    "lora_path"
  ],
  "additionalProperties": false
}

FAQ

How much does LTX-2.3 Distilled (T2V 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 (T2V LoRA) fails?

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

Can I call LTX-2.3 Distilled (T2V LoRA) from the API?

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