Generate unlimited 480P AI videos with WAN 2.1 Image-to-Video and custom LoRA support for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ocioso
$0.2por execução·~50 / $10
ExemplosVer todos
The video opens with a woman. As the video progresses, the woman begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground
woman will take off her top to show nipples
In the video, a miniature person is presented. The person is held in a person's hands. The person then presses on the person, causing a sq41sh squish effect. The person keeps pressing down on the person, further showing the sq41sh squish effect.
The video features a wooden chair with a blue cushion doing a r0t4tion 360 degrees rotation.
The video starts with a man. The next scene shows the man inside a gold framed mirror in a room. He is wearing the same clothes and the background outside the frame shows a landscape scene. Next, the man transforms into a p41nt1ng painting frame it, where he is dressed in red and blue clothing. The background is an older style painting scene. Finally, the man is in another p41nt1ng painting frame it, where he is dressed in a red robe with the same landscape background in the painting.
In the video, a miniature rodent is presented. The rodent is held in a person's hands. The person then presses on the rodent, causing a sq41sh squish effect. The person keeps pressing down on the rodent, further showing the sq41sh squish effect.
The video opens on a puppy. A knife, held by a hand, is coming into frame and hovering over the puppy. The knife then begins cutting into the puppy to c4k3 cakeify it. As the knife slices the puppy open, the inside of the puppy is revealed to be cake with chocolate layers. The knife cuts through and the contents of the puppy are revealed.
The video opens on an apple. A knife, held by a hand, is coming into frame and hovering over the apple. The knife then begins cutting into the apple to c4k3 cakeify it. As the knife slices the apple open, the inside of the apple is revealed to be cake with chocolate layers. The knife cuts through and the contents of the apple are revealed.
The video begins with a character. A hydraulic press positioned above slowly descends towards the character. Upon contact, the hydraulic press c5us4 crushes it, deforming and flattening the character, causing the character to collapse inward until the character is no longer recognizable.
The video opens with a character. As the video progresses, the character begins to d3d1at3 deflate it, gradually shrinking and losing shape, eventually flattening completely into a lifeless, deflated mass on the ground.
r0t4tion 360 degrees rotation,Make this cow rotate 360 degrees
Modelos relacionados
README
WAN 2.1 Image-to-Video 480p LoRA — wavespeed-ai/wan-2.1/i2v-480p-lora
wavespeed-ai/wan-2.1/i2v-480p-lora turns a single input image into a short, coherent video clip at 480p, with optional LoRA effects for stylized motion, transformations, or consistent visual “behavior” across runs.
What it’s good at
- Image-to-video animation from one still image (great for product shots, portraits, scenes)
- LoRA-driven motion/effects (for example: rotate, zoom-call framing, playful VFX-style transformations)
- Fast iteration for storyboard-style testing at a lightweight resolution
Inputs
-
Prompt (required): describe the action, camera, and mood
-
Image (required): the starting frame
-
Negative prompt (optional): reduce artifacts or unwanted styles
-
LoRAs (optional): add one or more LoRAs with:
-
Path: LoRA identifier
-
Scale: LoRA strength
-
Size: 480p
-
Duration: 5s or 10s
-
Num inference steps: higher can improve detail/coherence (slower)
-
Guidance scale: higher follows the prompt more strictly
-
Flow shift: controls motion feel (lower is calmer, higher is more dynamic)
-
Seed: set for repeatable results
How to use (Playground)
- Upload your image.
- Write a prompt that includes subject + action + camera movement + environment.
- (Optional) Add a LoRA and start with a moderate scale, then adjust upward only if the effect is too subtle.
- Keep guidance scale moderate for natural motion; increase it if the model ignores your requested action.
- Run at 5s first, then move to 10s once the motion looks right.
Prompting tips (I2V)
- Start with a single clear action: walks, turns, smiles, waves, looks back, picks up an object.
- Add camera direction in plain film language: slow push-in, handheld, dolly left, tilt up, rack focus.
- If you use an “effect” LoRA (like deflate/rotate), describe the target as a non-graphic, clearly fictional or toy-like transformation to avoid unwanted safety filtering.
Example prompt style (safe wording): A beach photo becomes a playful VFX shot: the character turns into an inflatable toy version of itself and slowly deflates like a balloon, then settles gently on the sand. Smooth camera push-in, soft sunlight, natural motion, no distortion.
Use cases
- Social content and short ads: animate a key visual into a 5–10s loopable clip
- Product hero animation: subtle parallax, gentle rotation, light camera push for ecommerce
- Stylized LoRA effects: rotate, “video call” framing, playful toon-like transformations
- Prototype storytelling: turn concept art into quick motion beats for pitches
Pricing
| Model | Resolution | Duration | Price per run |
|---|---|---|---|
| wavespeed-ai/wan-2.1/i2v-480p-lora | 832×480 | 5s | $0.20 |
| wavespeed-ai/wan-2.1/i2v-480p-lora | 832×480 | 10s | $0.30 |
Notes
- 480p is ideal for fast iteration, previews, and high-volume generation.
- LoRA effects can overpower the base motion if scaled too high; increase gradually.
- Safety checks may block certain real-person transformations; using fictional/toy framing typically works better.
Wan 2.1 I2v 480p Lora API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p-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 2.1 I2v 480p Lora below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p-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",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"loras": [
{
"path": "Remade-AI/Deflate",
"scale": 1
}
],
"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-lora", {
"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",
"loras": [
{
"path": "Remade-AI/Deflate",
"scale": 1
}
],
"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-lora",
{
"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",
"loras": [
{
"path": "Remade-AI/Deflate",
"scale": 1
}
],
"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 Lora API — Frequently asked questions
What is the Wan 2.1 I2v 480p Lora API?
Wan 2.1 I2v 480p Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Generate unlimited 480P AI videos with WAN 2.1 Image-to-Video and custom LoRA support 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 I2v 480p 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-2.1-i2v-480p-lora.
How much does Wan 2.1 I2v 480p Lora cost per run?
Wan 2.1 I2v 480p 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 2.1 I2v 480p Lora 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-lora.
How long does Wan 2.1 I2v 480p Lora take to generate?
Average end-to-end generation time on WaveSpeedAI is around 62 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 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.