Video · Text to video · Image to video · Video to video

Omni Flash 1.2 API

Google Gemini Omni Flash 1.2 on fal. It makes 3-15 s video with native audio from text, from a first/last frame, or from up to 10 reference images and 3 reference videos. It also edits clips up to 15 s and extends videos by 3-10 s. Output is 360p to 4K, in 16:9 or 9:16.

Price
From $0.0273/s
Typical time
~2 min
Model id
omni_flash_1_2

Omni Flash 1.2 runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.

POST /v2/tools/video/call
curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "omni_flash_1_2",
  "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
  "duration": 5
}'

Omni Flash 1.2 pricing

From $0.0273/s. Prices are in US dollars and are the provider's own, with no markup. Omni Flash 1.2 has 5 routes: "model": "omni_flash_1_2" picks one automatically, or pass a route key as "model" to pin it. For the exact price of a request, send the same body to POST https://api.varg.ai/v2/estimate.

  • fal from $0.0273/s
    fal:google/gemini-omni-flash/v1.2/text-to-video

    Text to video Gemini Omni Flash 1.2 text-to-video: 3-15 s with native audio, 360p/720p/1080p/4K (unified 480p runs at 360p), 16:9 or 9:16 only.

    Resolution 360p
    $0.0273/s
    Resolution 720p
    $0.0819/s
    Resolution 1080p
    $0.1229/s
    Resolution 4k
    $0.2457/s
    Other
    $0.2457/s
    Minimum charge
    $0.09
    Most one request can cost
    $3.69
    Typical time
    ~2 min
  • fal from $0.0273/s
    fal:google/gemini-omni-flash/v1.2/image-to-video

    Image to video Gemini Omni Flash 1.2 image-to-video: animate a first frame, with an optional last frame (then max 10 s). 3-15 s with native audio, 360p-4K (unified 480p runs at 360p), 16:9 or 9:16 (default 16:9).

    Resolution 360p
    $0.0273/s
    Resolution 720p
    $0.0819/s
    Resolution 1080p
    $0.1229/s
    Resolution 4k
    $0.2457/s
    Other
    $0.2457/s
    Minimum charge
    $0.09
    Most one request can cost
    $3.69
    Typical time
    ~2 min
  • fal from $0.0273/s
    fal:google/gemini-omni-flash/v1.2/edit

    Video to video Gemini Omni Flash 1.2 video edit: change a clip of up to 15 s from a text instruction and keep the rest of the scene. Output is 360p-4K (unified 480p runs at 360p) and the same length as the source; a duration you send is ignored.

    Resolution 360p
    $0.0273/s
    Resolution 720p
    $0.0819/s
    Resolution 1080p
    $0.1229/s
    Resolution 4k
    $0.2457/s
    Other
    $0.2457/s
    Most one request can cost
    $3.69
    Typical time
    ~2 min
  • fal from $0.0273/s
    fal:google/gemini-omni-flash/v1.2/reference-to-video

    Image to video, Video to video Gemini Omni Flash 1.2 reference-to-video: up to 10 reference images and 3 reference videos, addressed as <IMAGE_REF_n>/<VIDEO_REF_n> in the prompt. 3-15 s with native audio, 360p-4K (unified 480p runs at 360p), 16:9 or 9:16.

    Resolution 360p
    $0.0273/s
    Resolution 720p
    $0.0819/s
    Resolution 1080p
    $0.1229/s
    Resolution 4k
    $0.2457/s
    Other
    $0.2457/s
    Minimum charge
    $0.09
    Most one request can cost
    $3.69
    Typical time
    ~2 min
  • fal from $0.0273/s
    fal:google/gemini-omni-flash/v1.2/extend

    Video to video Gemini Omni Flash 1.2 extend: continue a video of any length with a 3-10 s segment from a prompt. The model conditions on the last 10 s. 360p-4K (unified 480p runs at 360p).

    Resolution 360p
    $0.0273/s
    Resolution 720p
    $0.0819/s
    Resolution 1080p
    $0.1229/s
    Resolution 4k
    $0.2457/s
    Other
    $0.2457/s
    Minimum charge
    $0.09
    Most one request can cost
    $2.46
    Typical time
    ~2 min

Omni Flash 1.2 inputs

The JSON body of the request. Media inputs are URLs: upload a local file with POST /v2/files and pass the URL it returns. Full JSON Schema, no key needed: api.varg.ai/v2/tools/video?model=omni_flash_1_2

Omni Flash 1.2 request fields
FieldWhat it does
model string requiredomni_flash_1_2 picks a route automatically. To pin one, pass a route key from Pricing above.
prompt string —
files array of { url } —
aspect_ratio string Allowed e.g. 16:9 | 9:16 | 1:1 | 4:3 | 3:4 | 21:9 | auto
resolution string Quality tier. Supported by this model: 480p, 720p, 1080p, 4k. Unsupported tiers fall back to the nearest available. Allowed 480p | 720p | 1080p | 4k
audio boolean Native audio track request. Not supported by this model — ignored if sent.
duration integer Length in seconds. Supported by this model's routes: fal: integer 3-15 / integer 3-10. A non-numeric value such as "auto" is routed to a route whose schema accepts it; when none does, the request is rejected. Allowed 3–15

Provider options

Optional, under provider_options.<provider>. Only the options of the provider that runs the job apply; pin a route to choose it.

provider_options.fal

Omni Flash 1.2 options for fal
FieldWhat it does
prompt string The text prompt describing the video you want to generate.
image_urls array of URL strings —
reference_video_urls array of URL strings —
duration integer The duration of the generated video, in seconds. Allowed 3–15
resolution string Allowed 360p | 720p | 1080p | 4k
aspect_ratio string Allowed 16:9 | 9:16
image_url string (URL) URL of the first frame to animate.
end_image_url string (URL) —
video_url string (URL) URL of the video to edit. Must be at most 15 seconds long.

Call the Omni Flash 1.2 API

POST https://api.varg.ai/v2/tools/video/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away.

1. Send the request

cURL
curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "omni_flash_1_2",
  "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
  "duration": 5
}'
JavaScript
JavaScript
const headers = {
  Authorization: `Bearer ${process.env.VARG_API_KEY}`,
  'Content-Type': 'application/json',
}

const res = await fetch('https://api.varg.ai/v2/tools/video/call', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "model": "omni_flash_1_2",
    "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
    "duration": 5
  }),
})
const job = await res.json() // { id: "job_…", status: "queued" }
Python
Python
import os
import requests

headers = {"Authorization": f"Bearer {os.environ['VARG_API_KEY']}"}

job = requests.post(
    "https://api.varg.ai/v2/tools/video/call",
    headers=headers,
    json={
      "model": "omni_flash_1_2",
      "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
      "duration": 5
    },
).json()  # {"id": "job_…", "status": "queued"}

2. Get the result

Poll the job until its status is completed, failed or cancelled; Omni Flash 1.2 typically takes about 2 min. The result is at output.outputs[0].url.

GET /v2/jobs/{id}
curl https://api.varg.ai/v2/jobs/$JOB_ID \
  -H "Authorization: Bearer $VARG_API_KEY"

# Poll until "status" is completed, failed or cancelled.
# The result is in output.outputs[0].url
JavaScript
JavaScript
let current = job
while (!['completed', 'failed', 'cancelled'].includes(current.status)) {
  await new Promise((resolve) => setTimeout(resolve, 3000))
  current = await (await fetch(`https://api.varg.ai/v2/jobs/${current.id}`, { headers })).json()
}
console.log(current.output?.outputs?.[0]?.url)
Python
Python
import time

while job["status"] not in ("completed", "failed", "cancelled"):
    time.sleep(3)
    job = requests.get(f"https://api.varg.ai/v2/jobs/{job['id']}", headers=headers).json()

print(job["output"]["outputs"][0]["url"])
Or take a webhook instead of polling

Add options.webhook_url and varg POSTs the finished job to it.

request body
{
  "model": "omni_flash_1_2",
  "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
  "duration": 5,
  "options": {
    "webhook_url": "https://your-app.com/varg-webhook"
  }
}

From Claude, ChatGPT or Cursor (MCP)

The varg MCP server, https://mcp.varg.ai/mcp, runs Omni Flash 1.2 with call_tool. Sign in with varg, no API key to paste. How to connect it

call_tool
{
  "tool": "video",
  "input": {
    "model": "omni_flash_1_2",
    "prompt": "A cinematic wide shot of a lighthouse on a rocky cliff at dusk, waves crashing below, the beam sweeping across the dark sea.",
    "duration": 5
  },
  "wait": true
}

Omni Flash 1.2 API: questions

How much does Omni Flash 1.2 cost on varg?
Omni Flash 1.2 costs from $0.0273/s on varg, on its cheapest route. The total depends on the request. varg charges the provider's price with no markup, from one credit balance. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
How do I call the Omni Flash 1.2 API?
Send POST https://api.varg.ai/v2/tools/video/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model": "omni_flash_1_2". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
Can I use Omni Flash 1.2 from Claude, ChatGPT or Cursor?
Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs Omni Flash 1.2 with call_tool, passing tool "video" and "model": "omni_flash_1_2".
How long does a Omni Flash 1.2 request take?
Typically about 2 min on the fastest route, by the catalog's estimate. The API answers at once with a job id, so nothing waits on an open connection while it runs.

For AI agents: this page as Markdown is varg.ai/models/omni_flash_1_2.md, and every model is listed in varg.ai/models/llms.txt.