Browse ModelsWavespeed AIWan 2.1 I2V 480p LoRA

Wan 2.1 I2V 480p LoRA

Wan 2.1 I2V 480p LoRA

Playground

Try it 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.

Features

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)

  1. Upload your image.
  2. Write a prompt that includes subject + action + camera movement + environment.
  3. (Optional) Add a LoRA and start with a moderate scale, then adjust upward only if the effect is too subtle.
  4. Keep guidance scale moderate for natural motion; increase it if the model ignores your requested action.
  5. 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

ModelResolutionDurationPrice per run
wavespeed-ai/wan-2.1/i2v-480p-lora832×4805s$0.20
wavespeed-ai/wan-2.1/i2v-480p-lora832×48010s$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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "loras": [
        {
            "path": "Remade-AI/Deflate",
            "scale": 1
        }
    ],
    "size": "832*480",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image for generating the output.
promptstringYes-The positive prompt for the generation.
negative_promptstringNo-The negative prompt for the generation.
lorasarrayNomax 3 itemsList of LoRAs to apply (max 3).
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
sizestringNo832*480832*480, 480*832The size of the generated media in pixels (width*height).
num_inference_stepsintegerNo301 ~ 40The number of inference steps to perform.
durationintegerNo55, 10The duration of the generated media in seconds.
guidance_scalenumberNo50.00 ~ 20.00The guidance scale to use for the generation.
flow_shiftnumberNo31.0 ~ 10.0The shift value for the timestep schedule for flow matching.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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