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fal-ai/ltx-2.3-quality/render-to-real

Transform your 3D video render into realistic using first frame with Ltx 2.3
Inference
Commercial use
Schema
LLMs
PlaygroundAPIExamples

Table of contents

About

Turn a stylized 3D / CG / game render into photorealistic footage.

Shares the effect IC-LoRA machinery (raw render into the Union Control guide, render-to-real adapter on node 5011, size auto from the render capped to the stable IC-LoRA budget), plus an optional first-frame image anchor (image-to-video) matching training. The caller writes the prompt (starting with the 3DREAL trigger). Prompt expansion runs when the caller enables it, but the 3DREAL trigger is always guaranteed in the final prompt (which is returned in the output).

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/ltx-2.3-quality/render-to-real", {
  input: {
    video_url: "https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/ltx-2.3-quality/render-to-real", {
  input: {
    video_url: "https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/ltx-2.3-quality/render-to-real", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/ltx-2.3-quality/render-to-real", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

video_url string* required

The URL of the 3D / CG / game render to make photorealistic.

image_url string

Optional reference image used as the FIRST frame (image-to-video anchor), matching how the adapter was trained. It defines the photoreal look of frame 0; leave empty to let the render alone drive the result.

prompt string

The text prompt, pre-filled with the 3DREAL trigger the adapter activates on. Describe the photorealistic result after it. The 3DREAL trigger is always kept, even if you clear it or enable prompt expansion. Default value: "3DREAL. "

resolution ResolutionEnum

Output resolution (short side), preserving the source aspect ratio. The IC-LoRA control path caps the resolution x frames volume, so resolution trades against duration: 720p allows up to ~6s (sharper), 480p up to ~15s (softer but longer). A request above the budget is rejected with a clear error — pick 480p for longer clips. Output duration is num_frames / frames_per_second. Default value: "720p"

Possible enum values: 480p, 720p

num_frames integer

The number of output frames. Output duration is num_frames / frames_per_second. The IC-LoRA control budget caps the resolution x frames volume: roughly 6s at 720p or 15s at 480p; a request above it returns a 422 (lower num_frames, or use 480p). Default value: 121

frames_per_second float

Frames per second of the generated video. Default value: 24

num_inference_steps integer

Number of inference steps. Defaults to 15 and can be increased up to 30. Default value: 15

guidance_scale float

Classifier-free guidance scale. The default is tuned for fast, high-quality generation. Default value: 1

generate_audio boolean

Whether to include audio in the returned video. When disabled, the final MP4 is returned without an audio track. Default value: true

negative_prompt string

The negative prompt to steer generation away from. Default value: "color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards"

enable_prompt_expansion boolean

When enabled, an AI model expands your prompt into a richer description before generation (off by default sends it as written). The 3DREAL trigger is always kept, and the final prompt used is returned in the output.

seed integer

Random seed for reproducibility. If None, a random seed is chosen.

enable_safety_checker boolean

Whether to enable the safety checker. Default value: true

video_quality VideoQualityEnum

The quality preset of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media is returned as a data URI inline in the response. Useful for short-lived requests and tests.

{
  "video_url": "https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4",
  "prompt": "3DREAL. Make it a detailed realistic 3D render. A sleek, futuristic hoverbike with glowing blue lights speeds down a multi-lane highway, leaving a trail of orange exhaust.",
  "resolution": "720p",
  "num_frames": 121,
  "frames_per_second": 24,
  "num_inference_steps": 15,
  "guidance_scale": 1,
  "generate_audio": true,
  "negative_prompt": "color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards",
  "enable_safety_checker": true,
  "video_quality": "high",
  "video_write_mode": "balanced"
}

Output#

video File* required

The generated video.

seed integer* required

The seed actually used for generation.

prompt string* required

The prompt used for generation (after any expansion).

{
  "video": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  },
  "prompt": ""
}

Other types#

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

VideoFile#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

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