Wan 2.2 T2V 5B is a 5B text-to-video model with LoRA support that generates 720p videos from text prompts for easy personalization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Boşta
$0.1çalıştırma başına·~10 / $1
ÖrneklerTümünü görüntüle
An elderly man sitting at a wooden desk in a sunlit study, dust particles dancing in the air, the camera slowly dollies in from the window, passing through curtains, then tilts down to reveal the man's wrinkled hands flipping through an old photo album, warm afternoon lighting casting long shadows
A fashion model walking confidently down a rooftop runway at golden hour, the skyline of a modern city behind her, wind blowing through her hair and dress, drone-style overhead shot circles her slowly, then cuts to a low-angle shot tracking her walk, dramatic lens flare from the setting sun
A firefighter emerging from thick smoke, backlit by orange flames and flashing red lights, slow-motion tracking shot from the ground level upward, revealing a face covered in ash and sweat, camera rotates slightly to follow the movement as they rescue a child from the rubble
A barista in a cozy café pouring latte art into a ceramic cup, soft morning sunlight streaming through the window blinds, coffee steam rising in the air, bookshelves in the background
First-person POV of someone riding a bicycle through a forest trail at golden hour, sunlight flickering through the trees, dappled light patterns on the dirt path, hands gripping handlebars visible, subtle vibrations from rough terrain, birds flying overhead, distant sound of a river, immersive and realistic motion, soft wind sounds, ultra-realistic texture detail on leaves and ground
A lone traveler in a long coat standing on a cliffside at dawn, facing the vast ocean, wind flapping their coat, seagulls soaring past, camera slowly circles around the back of the character, ocean waves crashing below, sky turning from blue to gold, moody atmosphere
Rain-soaked window overlooking a city skyline, droplets slowly sliding down the glass, distant thunderstorm with flickering lightning, camera remains static but reflections change subtly over time, moody and immersive
A young woman in a red windbreaker running down a narrow alleyway at night, neon signs reflecting on wet pavement, camera tightly follows her from the front like a selfie stick, slight shake, realistic facial expressions, shallow depth of field, dramatic lighting, rain drizzling softly, cinematic street ambience, bokeh lights in the background, energetic atmosphere, realistic motion blur
A young man running on a beach at sunrise, camera tracking smoothly beside him, sand kicking up under his feet, waves rolling beside him, seagulls flying in slow motion, glowing sun rising on the horizon, joyful energy, natural lighting with motion blur
A hiker with a large backpack crossing a wooden bridge in a forest, camera follows from behind and gradually rises to reveal a waterfall in the distance, birds flying overhead, water below sparkling, wind rustling through leaves, immersive outdoor environment
İlgili Modeller
README
Wan 2.2 t2v-5b-720p-lora
Wan 2.2 T2V 5B is a 5B-parameter text-to-video model with LoRA support that generates 5-second, 1280×720 videos from text prompts. It is built on WAN AI’s Mixture of Experts (MoE) architecture, combining high-noise and low-noise experts across denoising timesteps for sharp details, smooth motion, and strong cinematic style.
Why it looks great
- Cinematic-level aesthetic control Tuned to professional filmmaking standards, with rich control over lighting, color palette, composition, lens, and camera movement.
- Large-scale complex motion Handles dramatic actions, character interactions, and challenging camera paths while keeping motion stable and natural.
- Precise semantic compliance Strong scene understanding and multi-object generation, so shots stay close to your story beats and prompt.
- 5B parameter backbone Higher texture fidelity, better character consistency, and improved temporal coherence across frames.
Pricing
- Flat price: $0.10 per run
How to Use
- In the prompt box, describe the scene, characters, motion, camera, lighting, and style in detail.
- (Optional) Click Add Item under loras to attach up to 3 LoRA adapters.
- In each LoRA slot, paste the LoRA path (owner/model-name) or a direct
.safetensorsURL. - Use the scale slider to control strength (for example, 0.6–1.0 for most character or style LoRAs).
- Choose the size 1280×720 or 720×1280.
- Set the seed
- Click Run. After generation finishes, preview the video on the right panel and download it if you are satisfied.
LoRA Guides
Wan 2.2 T2v 5b 720p Lora API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-5b-720p-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 T2v 5b 720p Lora below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-5b-720p-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",
"size": "1280*720",
"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-5b-720p-lora", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1280*720",
"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-5b-720p-lora",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1280*720",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.2 T2v 5b 720p Lora API — Frequently asked questions
What is the Wan 2.2 T2v 5b 720p Lora API?
Wan 2.2 T2v 5b 720p Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Wan 2.2 T2V 5B is a 5B text-to-video model with LoRA support that generates 720p videos from text prompts for easy personalization. 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 5b 720p 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-t2v-5b-720p-lora.
How much does Wan 2.2 T2v 5b 720p Lora cost per run?
Wan 2.2 T2v 5b 720p Lora starts at $0.10 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 5b 720p Lora accept?
Key inputs: `prompt`, `size`, `seed`, `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-5b-720p-lora.
How long does Wan 2.2 T2v 5b 720p Lora take to generate?
Average end-to-end generation time on WaveSpeedAI is around 87 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 5b 720p 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.