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Fabric 1.0

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VEED Fabric 1.0 turns one image into dynamic, talking videos and AI avatars in 480p or 720p (starts at $0.35/5s 480p, $0.7/5s 720p). Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

digital-human
Input

Kéo & thả hoặc nhấp để tải lên

preview

Kéo & thả hoặc nhấp để tải lên

Idle

$0.35per run·~28 / $10

ExamplesView all

Related Models

README

VEED Fabric 1.0

An image-to-video API that brings a single still image to life as a dynamic, talking video. Ideal for video storytelling, personalized messages, digital avatars, and automated content pipelines.

Why it looks good

  • One image + Audio → talking video: Generate lip-synced, expressive clips from a single portrait or character image.
  • Natural lip-sync & expressions: Stable mouth–audio alignment and smooth facial transitions with minimal jitter.
  • Short creation pipeline: Image + voice → finished video, optimized for batch runs and automation.
  • Multi-scenario ready: Explainers, greetings, brand characters, course intros, and support avatars.

Pricing

ResolutionPrice per 5 secondsExample (10s)Example (15s)
480p$0.35$0.70$1.05
720p$0.70$1.40$2.10

Our endpoint starts at $0.35 per 5 seconds (480p) or $0.70 per 5 seconds (720p) for video generation.

How to use

  1. Upload audio
  • Add a voice track URL or drag-and-drop a file into the audio field.
  • Use clean, paced speech; denoise/EQ if possible.
  1. Upload image
  • Paste an image URL or drag-and-drop a portrait into the image field.
  • Prefer a clear front or body view with even lighting.
  1. Select resolution
  • Choose 480p for lightweight clips or 720p for sharper output.
  1. Run
  • Click Run to start the job. You’ll receive a job ID; the UI will show progress.
  1. Retrieve & iterate
  • Download the result when complete.
  • Swap audio or image, or adjust resolution to iterate quickly.

Common use cases

  • Digital avatars
  • Personalized greetings
  • Education snippets
  • Social/marketing upgrades (poster → talking video)
  • Customer service presenters
Accessibility:This website uses AI models provided by third parties.

Fabric 1.0 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/veed/fabric-1.0 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Fabric 1.0 below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/veed/fabric-1.0" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "audio": "https://example.com/your-audio.mp3",
    "resolution": "480p"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("veed/fabric-1.0", {
        "image": "https://example.com/your-input.jpg",
        "audio": "https://example.com/your-audio.mp3",
        "resolution": "480p"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "veed/fabric-1.0",
    {
    "image": "https://example.com/your-input.jpg",
    "audio": "https://example.com/your-audio.mp3",
    "resolution": "480p"
}
)

print(output["outputs"][0])  # → URL of the generated output

Fabric 1.0 API — Frequently asked questions

What is the Fabric 1.0 API?

Fabric 1.0 is a Veed model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. VEED Fabric 1.0 turns one image into dynamic, talking videos and AI avatars in 480p or 720p (starts at $0.35/5s 480p, $0.7/5s 720p). Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Fabric 1.0 API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/veed/veed-fabric-1.0.

How much does Fabric 1.0 cost per run?

Fabric 1.0 starts at $0.35 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Fabric 1.0 accept?

Key inputs: `image`, `audio`, `resolution`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/veed/veed-fabric-1.0.

How long does Fabric 1.0 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 527 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Fabric 1.0 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Veed). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.