Wan 2.2 Spicy Video Extend LoRA | Custom LoRA Image API

WAN 2.2 Spicy — Image-to-Video-I2V-LoRA-extend

WAN 2.2 Spicy (LoRA) is an enhanced image-to-video generation model built on the WAN 2.2 multimodal architecture, now featuring LoRA fine-tuning support. The extend version is the version optimized for generating long videos.

It transforms static images into cinematic 480p or 720p motion videos with rich color, expressive movement, and customizable style — ideal for creators, artists, and visual designers.

🔥 Why It Looks Great

Dynamic Realism: captures smooth, coherent motion with stable subjects and natural camera transitions.
Cinematic Aesthetics: reproduces professional-grade lighting, depth, and color balance.
Enhanced with LoRA: supports up to 3 LoRAs per job, allowing style, character, or motion customization.
Adaptive Motion Design: intelligently adjusts motion intensity based on prompt semantics.
Flexible Output: supports both portrait and landscape formats for social media or cinematic projects.

✨ Key Features

Expressive Motion Synthesis — vivid, coherent motion generation with stable frames.
LoRA Fine-Tuning (up to 3 LoRAs) — apply custom LoRAs for artistic control or stylistic consistency.
Flexible Duration Options — 5s or 8s video generation for short-form storytelling.
Artistic Style Adaptation — from realistic visuals to stylized anime or painterly looks.
Lighting & Color Optimization — automatic tone mapping for cinematic mood and depth.

⚙️ Specifications

Input: Single image (JPG, PNG)
Output: Video (480p / 720p, MP4 format)
Duration: 5s or 8s
LoRA Support: up to 3 LoRAs (Support high_noise and low_noise)
Seed Control: Optional reproducibility

💰 Pricing

Resolution	Price per second
480p	$0.04 / s
720p	$0.08 / s

🧩 How to Use

Upload your image (high-quality reference recommended).
Enter a prompt describing motion, tone, or camera action.
(Optional) Add up to 3 LoRAs under loras, high_noise_loras, or low_noise_loras.
Choose resolution (480p or 720p) and duration (5s or 8s).
(Optional) Set seed for reproducibility.
Click Run to generate your video.

📝 Notes

Works best with well-lit, clear images.
Avoid overly complex prompts to maintain clean motion.
LoRA sources must be from reliable repositories with open access.
For stronger visual identity, test combinations of low_noise and high_noise LoRAs.
If the output seems static, increase motion-related phrasing in your prompt.

📄Reference

Wan 2.2 Spicy Video Extend Lora API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2-spicy/video-extend-lora 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 Wan 2.2 Spicy Video Extend Lora below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2-spicy/video-extend-lora" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "480p",
    "duration": 5,
    "seed": -1
}'

# 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("wavespeed-ai/wan-2.2-spicy/video-extend-lora", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "resolution": "480p",
        "duration": 5,
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/wan-2.2-spicy/video-extend-lora",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "480p",
    "duration": 5,
    "seed": -1
}
)

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

Wan 2.2 Spicy Video Extend Lora API — Frequently asked questions

What is the Wan 2.2 Spicy Video Extend Lora API?

Wan 2.2 Spicy Video Extend Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Extend clips into unlimited longer videos with WAN 2.2 Spicy, producing smooth animation and supporting custom LoRA weights. 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 Wan 2.2 Spicy Video Extend Lora 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/wavespeed-ai/wan-2.2-spicy-video-extend-lora.

How much does Wan 2.2 Spicy Video Extend Lora cost per run?

Wan 2.2 Spicy Video Extend Lora starts at $0.20 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 Wan 2.2 Spicy Video Extend Lora accept?

Key inputs: `prompt`, `video`, `resolution`, `duration`, `seed`, `high_noise_loras`. 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/wavespeed-ai/wan-2.2-spicy-video-extend-lora.

How long does Wan 2.2 Spicy Video Extend Lora take to generate?

Average end-to-end generation time on WaveSpeedAI is around 156 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Wan 2.2 Spicy Video Extend Lora outputs commercially?

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

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