Wan 2.1 i2v 480p Ultra-Fast enables unlimited image-to-video generation at 480p for fast, reliable video creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Bereit
$0.125pro Durchlauf·~80 / $10
BeispieleAlle anzeigen
A girl stands in a lively 17th-century market. She holds a red tomato, looks gently into the camera and smiles briefly. Then, she glances at the tomato in her hand, slowly sets it back into the basket, turns around gracefully, and walks away with her back to the camera. The market around her is rich with colorful vegetables, meats hanging above, and bustling townsfolk. Golden-hour painterly lighting, subtle facial expressions, smooth cinematic motion, ultra-realistic detail, Vermeer-inspired style
a girl in a field of wildflowers, wearing a white dress, sunlight filtering through trees, looking up with a smile, dreamy and peaceful
a girl taking a selfie in snowfall, fluffy hat and coat, smiling with flushed cheeks, snow-covered street behind her
a woman sitting at a wooden desk reading a book, light from a table lamp, casual clothing, relaxed atmosphere, bookshelves in the background
A young man casually checking his phone while walking slowly along a neon-lit city street at dusk. The lights flicker gently as passing cars reflect on the wet pavement. A soft breeze ruffles his hair and clothes, and the camera slowly zooms in with a shallow depth of field.
A woman in a retro red dress sits gracefully by a sunlit window, her eyes gently following the dust particles dancing in the warm light. As she slowly turns her head to look outside, the lace curtains flutter slightly. The camera tilts from a side angle to a gentle front focus, capturing the timeless serenity of the moment.
The woman slightly turns her head, a gentle breeze rustles her dress, city traffic flows smoothly below. Cinematic lighting, soft focus, depth of field, natural color grading, subtle lens flares. Photorealistic, 8K video, film grain, blockbuster movie shot, realistic reflections. Slow dolly zoom out, subtle pan left.
Gears slowly turn, steam hisses from pipes, small clockwork mechanisms whir, the inventor adjusts a dial. Sepia tones, brass and copper textures, intricate mechanical details, warm glow from oil lamps, cogwheel overlays. Steampunk aesthetic, Victorian era, clockworkpunk, retrofuturism, industrial design, intricate machinery focus. Detailed close-up shots of mechanisms, slow pan across the workshop, slight tilt-shift effect.
A child rides a paper boat through a river of stars, cosmic waves, surreal lighting, soft camera pan
A woman photographer sets up her tripod in a wide open countryside at sunrise. The grass sways gently. She adjusts the focus ring on her camera and smiles in satisfaction. Birds sing in the distance. The camera follows her movements with a soft handheld feel.
A girl in a sundress walks barefoot along the beach as small waves touch her feet. Her dress moves in the wind as she walks calmly into the sunset.
Ähnliche Modelle
README
Wan 2.1 Image-to-Video 480p Ultra Fast
Wan 2.1 Image-to-Video 480p Ultra Fast is a lightning-fast image-to-video generation model optimized for speed and efficiency. Transform static images into dynamic videos in seconds — perfect for rapid iteration, previews, and high-volume processing.
Why It Stands Out
- Ultra-fast processing: Optimized for speed without sacrificing quality.
- Image-driven generation: Animate any image while preserving its original style.
- Prompt-guided motion: Describe camera movements, actions, and atmospheric effects.
- 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.
- Affordable pricing: Cost-effective option for prototyping and batch processing.
- Reproducibility: Use the seed parameter to recreate exact results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to animate (upload or public URL). |
| prompt | Yes | Text description of desired motion and style. |
| negative_prompt | No | Elements to avoid in the output. |
| size | No | Output resolution (default: 832×480). |
| 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: 3). |
| seed | No | Set for reproducibility; -1 for random. |
How to Use
- Upload your source image — drag and drop a file or paste a public URL.
- Write a prompt describing the motion, camera movement, and atmosphere you want. Use the Prompt Enhancer for AI-assisted optimization.
- Add a negative prompt (optional) — specify elements to exclude.
- Adjust parameters — set duration, guidance scale, and other settings as needed.
- Click Run and wait for your video to generate.
- Preview and download the result.
Best Use Cases
- Rapid Prototyping — Quickly test animation concepts before committing to higher resolutions.
- Batch Processing — Transform multiple images into videos affordably at scale.
- Content Previews — Generate quick previews for client approval.
- Social Media Content — Create stylized videos for platforms where 480p is sufficient.
- Creative Exploration — Experiment with different animations at minimal cost.
Pricing
| Duration | Price |
|---|---|
| 5 seconds | $0.125 |
| 10 seconds | $0.1875 |
Pro Tips for Best Quality
- Use high-resolution, well-lit source images for optimal results.
- Be specific in your prompt — describe camera movement, subject actions, and atmospheric details.
- Use negative prompts to reduce artifacts like blur, distortion, or unwanted motion.
- Start with 480p Ultra Fast for testing, then upgrade to 720p for final delivery.
- Fix the seed when iterating to compare different prompt variations.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time is optimized for speed — expect quick turnaround.
- For higher resolution output, consider Wan 2.1 I2V 720p.
- Please ensure your prompts comply with content guidelines.
Wan 2.1 I2v 480p Ultra Fast API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p-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 I2v 480p Ultra Fast below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p-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",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"size": "832*480",
"num_inference_steps": 30,
"duration": 5,
"guidance_scale": 5,
"flow_shift": 3,
"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/i2v-480p-ultra-fast", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"size": "832*480",
"num_inference_steps": 30,
"duration": 5,
"guidance_scale": 5,
"flow_shift": 3,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/wan-2.1/i2v-480p-ultra-fast",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"size": "832*480",
"num_inference_steps": 30,
"duration": 5,
"guidance_scale": 5,
"flow_shift": 3,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.1 I2v 480p Ultra Fast API — Frequently asked questions
What is the Wan 2.1 I2v 480p Ultra Fast API?
Wan 2.1 I2v 480p Ultra Fast is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. Wan 2.1 i2v 480p Ultra-Fast enables unlimited image-to-video generation at 480p for fast, reliable video creation. 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 I2v 480p 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-i2v-480p-ultra-fast.
How much does Wan 2.1 I2v 480p Ultra Fast cost per run?
Wan 2.1 I2v 480p Ultra Fast starts at $0.13 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 I2v 480p Ultra Fast accept?
Key inputs: `prompt`, `image`, `duration`, `size`, `seed`, `guidance_scale`. 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-i2v-480p-ultra-fast.
How long does Wan 2.1 I2v 480p Ultra Fast take to generate?
Average end-to-end generation time on WaveSpeedAI is around 61 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 I2v 480p 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.