Ultra-fast Wan 2.2 Text-to-Video generates unlimited 720p AI videos with custom LoRAs for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.15per run·~66 / $10
ExamplesView all
A street dancer performs energetic moves in front of a crowd on a city square. His feet tap rhythmically, arms moving in sync with the beat. People cheer and record with their phones. Urban graffiti fills the background.
A cloaked figure runs through a neon-lit cyberpunk alley, steam rising from vents, digital signs flashing. The camera shakes subtly with each step, following closely from behind. Sparks burst as the figure brushes against a metal wall, drone whirring overhead, rain begins to fall, creating lens streaks.
A female assassin jumping from a rooftop with dual blades, city lights reflecting on her armor, motion blur, realistic skin texture, cinematic depth of field
Two boxers exchanging powerful punches under bright ring lights, sweat spraying from impact, hyper-real facial details, motion blur realism
A female spy diving sideways while firing dual pistols, empty shells suspended in the air, dust illuminated by gunfire
A desert warrior runs across shifting dunes under a blazing sun, scarf trailing behind in the wind, sand spraying from each step, distant dust cloud of pursuing riders visible, heat haze blurring the horizon, cinematic wide shot
A lone survivor walks through the smoking ruins of a bombed city, ashes falling like snow, distant fires still burning, weapon slung over his shoulder, expression cold and resolute, cinematic slow pan with ultra realistic debris and lighting
A special forces soldier sprinting through a battlefield, dirt and debris flying with each step, muzzle flash lighting his determined face, ultra photorealistic
A plainclothes detective sprints down a crowded subway platform, weaving through commuters, train doors closing in the background, jacket flying open with each step, sweat and determination on his face, cinematic natural lighting
A martial artist delivering a spinning kick in slow motion, sweat droplets visible, muscles tensed, motion blur realism
A cyclist struggles to push forward through torrential rain on a narrow bridge, raindrops blurring the vision, tires splashing through puddles, headlights reflecting off the wet pavement
A man blocks an incoming punch in a back-alley fight, breath visible in the cold night air, trash cans knocked over, neon shop lights casting sharp shadows, ultra detailed facial tension and muscle strain
Related Models
README
Wan 2.2 Text-to-Video 720p LoRA Ultra Fast
Generate customized 720p HD videos from text at blazing speed with full LoRA support. This speed-optimized model delivers high-quality output with three LoRA slots for style control — perfect for rapid iteration, testing LoRA combinations, and high-volume production.
Need maximum quality? Try Wan 2.2 T2V 720p LoRA for standard processing with premium output.
Why It Looks Great
- Ultra-fast generation: Speed-optimized for rapid turnaround without sacrificing quality.
- Pure text-to-video: Generate complete videos from descriptions alone — no images needed.
- LoRA support: Apply up to 3 custom LoRAs each for standard, high-noise, and low-noise stages.
- 720p HD output: Sharp, professional-quality video suitable for most use cases.
- Landscape & portrait: Supports both 1280×720 and 720×1280 orientations.
- Negative prompt support: Exclude unwanted elements for precise control.
- Safety Checker: Optional content filtering for appropriate output.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the scene, action, and atmosphere you want. |
| negative_prompt | No | Elements to avoid in the generated video. |
| size | No | Output dimensions: 1280×720 (landscape) or 720×1280 (portrait). Default: 1280×720. |
| duration | No | Video length: 5 or 8 seconds. Default: 5. |
| loras | No | Standard LoRA adapters to apply (up to 3). |
| high_noise_loras | No | LoRAs applied during high-noise denoising stages (up to 3). |
| low_noise_loras | No | LoRAs applied during low-noise denoising stages (up to 3). |
| seed | No | Random seed for reproducibility. Use -1 for random. |
| Enable Safety Checker | No | Toggle content safety filtering. |
How to Use
- Write your prompt — describe the scene, characters, motion, and atmosphere in detail.
- Add negative prompt (optional) — specify elements to exclude.
- Choose size — select landscape (1280×720) or portrait (720×1280) orientation.
- Set duration — choose 5 or 8 seconds.
- Add LoRAs (optional) — click "+ Add Item" to include custom LoRA adapters.
- Set seed (optional) — for reproducible results.
- Run — click the button to generate.
- Download — preview and save your video.
Pricing
Per 5-second billing based on duration.
| Duration | Calculation | Cost |
|---|---|---|
| 5 seconds | 5 ÷ 5 × $0.15 | $0.15 |
| 8 seconds | 8 ÷ 5 × $0.15 | $0.24 |
Understanding LoRA Options
This model provides three different LoRA slots that affect different stages of the generation process:
| LoRA Type | When Applied | Best For | Max Count |
|---|---|---|---|
| loras | Throughout generation | General style, character consistency | 3 |
| high_noise_loras | Early denoising (high noise) | Overall composition, major style elements | 3 |
| low_noise_loras | Late denoising (low noise) | Fine details, textures, finishing touches | 3 |
Size Options
| Size | Orientation | Best For |
|---|---|---|
| 1280×720 | Landscape | YouTube, presentations, desktop viewing |
| 720×1280 | Portrait | TikTok, Instagram Reels, Stories, mobile |
Best Use Cases
- Rapid LoRA Testing — Quickly iterate on LoRA combinations to find the perfect mix.
- High-Volume Production — Generate large batches of stylized content efficiently.
- Style Exploration — Experiment with different visual aesthetics at speed.
- Social Media Content — Create platform-optimized HD videos with custom styles.
- Concept Prototyping — Test ideas quickly before committing to slower, higher-quality generation.
Example Prompts
- "Anime girl walking through cherry blossom garden, petals falling, soft pink lighting, peaceful mood"
- "Epic fantasy battle scene, dragons and knights, dramatic lighting, cinematic action"
- "Cozy cafe interior, steam rising from coffee, rain on windows, lo-fi aesthetic"
- "Futuristic robot dancing in neon-lit club, holographic effects, cyberpunk style"
- "Serene mountain lake at sunrise, mist rolling over water, nature documentary quality"
How to Use LoRAs
For detailed guides on using and training custom LoRAs:
Model Comparison
| Model | Cost (5s) | Speed | Best For |
|---|---|---|---|
| T2V 720p LoRA Ultra Fast | $0.15 | Fast | Rapid iteration, testing, high-volume |
| T2V 720p LoRA | $0.20+ | Standard | Maximum quality with LoRA support |
Pro Tips for Best Results
- Ultra Fast is ideal for testing — iterate quickly, then regenerate favorites with standard models.
- Use high_noise_loras for major style changes, low_noise_loras for subtle refinements.
- Don't overload with LoRAs — sometimes 1-2 well-chosen LoRAs work better than many.
- Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
- Keep the same seed when comparing different LoRA combinations.
- Processing remains fast even with multiple LoRAs applied.
Notes
- Duration options are 5 or 8 seconds only.
- Each LoRA slot supports up to 3 LoRAs.
- Enable Safety Checker for content that will be publicly shared.
- Ultra Fast prioritizes speed — for maximum quality, use standard variants.
Wan 2.2 T2v 720p Lora Ultra Fast API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-720p-lora-ultra-fast 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 T2v 720p Lora Ultra Fast below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-720p-lora-ultra-fast" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"size": "1280*720",
"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/t2v-720p-lora-ultra-fast", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"size": "1280*720",
"duration": 5,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/wan-2.2/t2v-720p-lora-ultra-fast",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"negative_prompt": "blurry, low quality, distorted",
"size": "1280*720",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.2 T2v 720p Lora Ultra Fast API — Frequently asked questions
What is the Wan 2.2 T2v 720p Lora Ultra Fast API?
Wan 2.2 T2v 720p Lora Ultra Fast is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Ultra-fast Wan 2.2 Text-to-Video generates unlimited 720p AI videos with custom LoRAs for personalized styles. 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 T2v 720p Lora Ultra Fast 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-t2v-720p-lora-ultra-fast.
How much does Wan 2.2 T2v 720p Lora Ultra Fast cost per run?
Wan 2.2 T2v 720p Lora Ultra Fast starts at $0.15 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 T2v 720p Lora Ultra Fast accept?
Key inputs: `prompt`, `duration`, `size`, `seed`, `negative_prompt`, `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-t2v-720p-lora-ultra-fast.
How long does Wan 2.2 T2v 720p Lora Ultra Fast take to generate?
Average end-to-end generation time on WaveSpeedAI is around 94 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 T2v 720p Lora Ultra Fast 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.