Wan 2.1 T2V 720P LoRA Ultra Fast | Custom LoRA Image API

Wan 2.1 Text-to-Video 720p LoRA Ultra Fast

Wan 2.1 Text-to-Video 720p LoRA Ultra Fast is a lightning-fast text-to-video generation model with full LoRA support. Generate HD 720p videos from text descriptions in seconds, with custom styles and effects — perfect for rapid iteration and high-volume content creation.

Why It Stands Out

Ultra-fast processing: Optimized for speed without sacrificing quality.
LoRA support: Apply custom LoRA models for specific styles and effects.
HD 720p output: Generate crisp 1280×720 videos with rich detail.
Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
Negative prompt support: Exclude unwanted elements for cleaner outputs.
Fine-tuned control: Adjust guidance scale and flow shift for precise results.
Reproducibility: Use the seed parameter to recreate exact results.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the video you want to generate.
negative_prompt	No	Elements to avoid in the output.
loras	No	LoRA models to apply (path and scale).
size	No	Output resolution: 1280×720 (default: 1280×720).
num_inference_steps	No	Quality/speed trade-off (default: 30).
duration	No	Video length: 5 or 10 seconds (default: 5).
guidance_scale	No	Prompt adherence strength (default: 5).
flow_shift	No	Motion flow control (default: 5).
seed	No	Set for reproducibility; -1 for random.

How to Use

Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
Add a negative prompt (optional) — specify elements to exclude.
Add LoRAs (optional) — select LoRA models and adjust their scale. Check recommended LoRAs for inspiration.
Set duration — choose 5 or 10 seconds.
Adjust parameters (optional) — fine-tune guidance scale and flow shift.
Click Run and wait for your video to generate.
Preview and download the result.

How to Use LoRA

LoRA (Low-Rank Adaptation) lets you apply custom styles without retraining the full model.

Add LoRA: Enter the LoRA path and adjust the scale (0.0–1.0).
Recommended LoRAs: Check the interface for suggested LoRAs with preview images (e.g., Fire effects).
Scale adjustment: Higher scale means stronger style effect.

Best Use Cases

Rapid Prototyping — Quickly test video concepts with custom styles.
Visual Effects — Apply effects like fire, water, smoke with specialized LoRAs.
Social Media Content — Create stylized videos for TikTok, Reels, and Shorts.
Batch Processing — Generate multiple videos efficiently at scale.
Creative Exploration — Experiment with different LoRA combinations.

Pricing

Duration	Price
5 seconds	$0.225
10 seconds	$0.3375

Pro Tips for Best Quality

Be detailed in your prompt — describe subject, action, environment, lighting, and mood.
Use LoRAs to apply specific visual effects like fire, explosions, or weather.
Start with LoRA scale around 0.7–1.0 and adjust based on results.
Use negative prompts to reduce artifacts like blur, distortion, or unwanted motion.
Check recommended LoRAs for proven style effects.
Fix the seed when iterating to compare different LoRA combinations.

Notes

Processing time is optimized for speed — expect quick turnaround.
Higher num_inference_steps produces better quality but increases generation time.
Please ensure your prompts comply with content guidelines.

Wan 2.1 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-2.1/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 2.1 T2v 720p Lora Ultra Fast below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/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",
    "loras": [
        {
            "path": "Remade-AI/Fire",
            "scale": 1
        }
    ],
    "size": "1280*720",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 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-2.1/t2v-720p-lora-ultra-fast", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "negative_prompt": "blurry, low quality, distorted",
        "loras": [
                {
                        "path": "Remade-AI/Fire",
                        "scale": 1
                }
        ],
        "size": "1280*720",
        "num_inference_steps": 30,
        "duration": 5,
        "guidance_scale": 5,
        "flow_shift": 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-2.1/t2v-720p-lora-ultra-fast",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "loras": [
        {
            "path": "Remade-AI/Fire",
            "scale": 1
        }
    ],
    "size": "1280*720",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 5,
    "seed": -1
}
)

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

Wan 2.1 T2v 720p Lora Ultra Fast API — Frequently asked questions

What is the Wan 2.1 T2v 720p Lora Ultra Fast API?

Wan 2.1 T2v 720p Lora Ultra Fast is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. WAN 2.1 Text-to-Video 720P delivers unlimited ultra-fast videos from text prompts and supports 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 2.1 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-2.1-t2v-720p-lora-ultra-fast.

How much does Wan 2.1 T2v 720p Lora Ultra Fast cost per run?

Wan 2.1 T2v 720p Lora Ultra Fast starts at $0.23 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 2.1 T2v 720p Lora Ultra Fast accept?

Key inputs: `prompt`, `duration`, `size`, `seed`, `guidance_scale`, `num_inference_steps`. 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-2.1-t2v-720p-lora-ultra-fast.

How long does Wan 2.1 T2v 720p Lora Ultra Fast take to generate?

Average end-to-end generation time on WaveSpeedAI is around 66 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 2.1 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.

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