Netwrck

Netwrck > Tools > API Documentation > RA2V Smart Generator

RA2V LTX-2.3 LoRA Video API

Generate text-to-video or image-to-video with LTX-2.3. Use the base model, automatic semantic LoRA matching, or an explicit adapter from the indexed Hugging Face and Civitai catalog.

POST https://netwrck.com/api/ra2v

LTX-2.3 generation with optional LoRA routing • Provider cost + 20%

Base URL: netwrck.com

Try the RA2V Smart Video Generator Playground

Request Parameters

Parameter	Type	Required	Description
api_key	string	Required	Your API key for authentication (same as your account secret)
prompt	string	Required	Description of the video content and motion. Automatic mode matches this against positive and negative adapter terms.
image_url	string	Optional	URL of the input image for image-to-video generation. If not provided, text-to-video will be used.
selection_mode	string	Optional	`auto`, `none`, or `specific`. Defaults to `auto`.
lora_id	string	Optional	Catalog ID required when `selection_mode` is `specific`.
lora_strength	number	Optional	Adapter scale from 0.1 to 3.0. The catalog default is used when omitted. Cinemagraph defaults to 1.0.
negative_prompt	string	Optional	Negative conditioning passed to the LTX-2.3 LoRA endpoint.
duration	integer	Optional	`6`, `8`, or `10` seconds. Defaults to `6`.
fps	integer	Optional	`24` or `25`. Defaults to `24`.
generate_audio	boolean	Optional	Generate an audio track. Defaults to `true`.

Pricing

Charges use the current provider cost plus 20%, rounded up to a whole credit. One credit is $0.01.

Route	Provider basis	6 seconds	8 seconds	10 seconds
Base, 1080p with audio	$0.08 per second	58 credits	77 credits	96 credits
LoRA, 24 FPS	$0.0027075 per generated megapixel	28 credits	38 credits	47 credits

LoRA pricing changes with FPS. Base generation without audio uses the $0.06 per-second visual rate.

LoRA Selection

RA2V uses LTX-2.3 for every request and changes only the adapter route:

Base model

Selected for: selection_mode: "none" or low-confidence automatic matches.

Provider: LTX-2.3 text-to-video or image-to-video.

LTX-2.3 with LoRA

Selected for: A high-confidence automatic match or an explicit selectable catalog ID.

Catalog: GET /api/ra2v/catalog
Recommendation preview: POST /api/ra2v/recommend
Sources: Hugging Face and Civitai

Example Request

{
  "api_key": "YOUR_API_KEY",
  "image_url": "https://netwrckstatic.netwrck.com/static/uploads/aiartstation-art-aesthetic-character-elf-masculine-confident-engaging-wow-3.webp",
  "prompt": "A locked living photograph of a waterfall where only the water and leaves move in a subtle loop",
  "selection_mode": "specific",
  "lora_id": "cinemagraph",
  "lora_strength": 1.0,
  "duration": 6,
  "aspect_ratio": "16:9",
  "fps": 24
}

Success Response

200 OK

{
  "result": {
    "video": {
      "url": "https://storage.googleapis.com/generated-videos/67890.mp4"
    }
  },
  "ra2v": {
    "base_model": "Lightricks/LTX-2.3",
    "mode": "i2v",
    "selection_mode": "specific",
    "selected_lora": {"id": "cinemagraph", "name": "Cinemagraph"},
    "provider_model": "fal-ai/ltx-2.3-quality/image-to-video/lora",
    "pricing": {"provider_usd": 0.232, "billed_usd": 0.28, "markup": 0.2, "credits": 28}
  }
}

Example Generated Video

Here's an example video generated with the RA2V API:

Prompt: "A living photograph where only the waterfall moves"
Base: LTX-2.3 • Optional LoRA routing

Error Responses

// 401 Unauthorized
{
  "error": "Invalid API key",
  "status": 401
}

// 402 Insufficient Credits
{
  "error": "Insufficient credits",
  "status": 402,
  "required_credits": 58,
  "current_credits": 50
}

Code Examples

Python

import requests
import json

url = "https://netwrck.com/api/ra2v"
api_key = "YOUR_API_KEY"

payload = {
    "api_key": api_key,
    "image_url": "https://netwrckstatic.netwrck.com/static/uploads/aiartstation-art-aesthetic-character-elf-masculine-confident-engaging-wow-3.webp",
    "prompt": "A living photograph where only the waterfall moves",
    "selection_mode": "specific",
    "lora_id": "cinemagraph"
}

headers = {
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)

if response.status_code == 200:
    result = response.json()
    print(result)
else:
    print(f"Error: {response.status_code}")
    print(response.text)

JavaScript

const url = 'https://netwrck.com/api/ra2v';
const apiKey = 'YOUR_API_KEY';

const payload = {
  api_key: apiKey,
  prompt: 'A living photograph where only the waterfall moves',
  image_url: 'https://netwrckstatic.netwrck.com/static/uploads/aiartstation-art-aesthetic-character-elf-masculine-confident-engaging-wow-3.webp',
  selection_mode: 'specific',
  lora_id: 'cinemagraph'
};

fetch(url, {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => {
  console.log(data);
})
.catch(error => console.error('Error:', error));

cURL

curl -X POST \
  https://netwrck.com/api/ra2v \
  -H 'Content-Type: application/json' \
  -d '{
    "api_key": "YOUR_API_KEY",
    "prompt": "A living photograph where only the waterfall moves",
    "image_url": "https://netwrckstatic.netwrck.com/static/uploads/aiartstation-art-aesthetic-character-elf-masculine-confident-engaging-wow-3.webp",
    "selection_mode": "specific",
    "lora_id": "cinemagraph"
  }'

Prompt Examples by Backend

LTXV Backend Examples

"gentle zoom revealing product details"
"calm ocean waves with soft sunlight"
"subtle camera movement through a peaceful forest"
"slow pan across a serene landscape"

WAN with Action LoRA Examples

"explosive action sequence with debris flying"
"intense combat scene with dynamic movements"
"high-speed chase through city streets"
"sports moment with dramatic slow motion"

WAN with Fantasy LoRA Examples

"magical transformation with glowing particles"
"dragon breathing fire in a mystical realm"
"wizard casting spells with energy effects"
"fairy tale scene with enchanted forest"

WAN with Time Lapse LoRA Examples

"time lapse of artist drawing a portrait"
"accelerated building construction"
"flower blooming in fast forward"
"sunset to sunrise transition"

Best Practices

Descriptive Prompts: The more detailed your prompt, the better the backend selection
Image Quality: Use high-resolution input images for best results
Pricing: Preview the route because base and LoRA jobs use different provider units
Error Handling: Check the backend_used field to understand which model was selected
Testing: Use the playground to test prompts before API integration

API Endpoints