Wan 2.2 LoRA API

Introduction

Wan 2.2 LoRA animates an opening frame with Alibaba's Wan 2.2 image-to-video model and lets you load your own trained LoRA weights on top of it to steer style, character or motion. The frame and a motion prompt are required. LoRAs go into three optional slots with up to three entries each, and every entry is a direct URL to a weights file of up to 1 GB plus a strength from 0 to 4. Clips are exactly 5 or 8 seconds long, at 480p or 720p.

Key features

Three slots mapped to two denoising passes

Wan 2.2 denoises in two passes. high_noise_loras attaches weights to the high-noise expert, where composition and motion are decided; low_noise_loras attaches them to the low-noise expert, where detail and texture resolve; loras applies them to both. A line-art or grain treatment usually belongs in the low-noise slot, and a camera or movement style in the high-noise one.

Separate strengths for camera style and render style

Because the slots attach to different passes, a motion LoRA and a texture LoRA can share one request with their own scales, and you can turn one up and the other down instead of balancing a single blended weight. Inside a single slot, stacked LoRAs blend rather than layer, which is why adding them one at a time is the safer order.

Weights stay on your hosting

Each file is fetched from the URL you supply for the duration of the run, and nothing is stored on the platform. Direct download links work, as do Civitai model pages or download links and Hugging Face blob or resolve links, which are resolved to the file automatically. Other share pages and anything behind a login fail the fetch, so weights that must stay private belong behind a signed link.

The base model when the slots are empty

All three arrays default to empty. A request without LoRAs returns the base Wan 2.2 image-to-video result for the same frame and prompt, which is the reference that any strength sweep is measured against.

Request parameters

Pricing

Prices are in credits, the same credits you use on the website (1 credit = $0.01). The hold is taken when the task is accepted and settled to the actual charge when it finishes; failed tasks are refunded.

For an exact number before you run, send the same body to POST /jobs/quote.

Use cases

Camera style kept apart from render style

Put a motion or camera LoRA in the high-noise slot and a texture LoRA in the low-noise slot of the same request. When the movement is right but the texture is too heavy, lower only the low-noise scale and rerun with the same frame, prompt and seed.

Finding the right strength

Hold the frame, the prompt and the seed, then sweep one LoRA's scale from 0.5 to 1.5 across four runs at 480p. Above roughly 1.5 the style tends to consume the subject instead of styling it. Keep the run where the style is present and the subject from the frame is still intact, and rerender that combination at 720p.

Prompt guide & pro tips

Choose the slot before you write

Decide what the LoRA is supposed to change. Rendering style goes in the low-noise slot, motion or camera style in the high-noise slot, and the shared slot when the style should touch composition and texture alike. The prompt then only has to describe what moves and how the camera behaves.

Do not name the style twice

Naming a style in the prompt while also loading a LoRA for it tends to double the effect. When a LoRA carries the look, keep the prompt about action and camera, and adjust the strength instead of adding more style words.

Adapt the included example

The rooftop-walk example runs at duration_seconds 5 and resolution 480p with all three LoRA slots empty:

She pushes off the railing, straightens her blazer over one shoulder and turns to walk along the rooftop, city lights and the vending machine glow sliding past behind her, hair lifting in the night wind. Smooth tracking move, anime cel-shaded style held stable.

Run your own frame with a prompt in the same shape (one action, one camera move) and a fixed seed to get the base clip. Then add one weights URL to a single slot at scale 1, keep everything else unchanged, and compare the two clips to see what that LoRA changes.

Set length, seed and frame deliberately

duration_seconds accepts only 5 or 8, and any other value is rejected rather than rounded. For the seed, 0 requests a random draw, so use a non-zero value while you sweep. The frame can be JPEG, PNG without transparency, BMP or WebP of up to 20 MB, and the clip takes its aspect ratio from it, so crop it to the delivery shape first.

API quick start

Call the Wan 2.2 LoRA API in three steps

1. Create an API key. Sign in to PopNow and create a key in the API console. Keys start with sk-popnow- and use the same credits as the website.
2. Send the request. POST /jobs/createTask with model alibaba/wan-2.2-lora/image-to-video and an input object that follows the parameter table. The response returns a task ID straight away.
3. Get the result. Poll GET /jobs/recordInfo with the task ID, or pass a callBackUrl and we post the result to it. Download the output links when the task succeeds.

# 1. Create the task. Keep the Idempotency-Key if you retry after a network error.
export IDEMPOTENCY_KEY="$(uuidgen)"
curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
  -H "Authorization: Bearer $POPNOW_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  -d '{
  "model": "alibaba/wan-2.2-lora/image-to-video",
  "input": {
    "prompt": "A slow aerial shot drifting over a misty pine forest at sunrise",
    "image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
    "resolution": "480p",
    "duration_seconds": 5
  }
}'

# 2. Copy data.taskId from the response, then poll until state is succeeded, failed, canceled or expired.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
  -H "Authorization: Bearer $POPNOW_API_KEY"

Replace the prompt and any links with your own. The API tab has the response, polling and callback reference.

Wan 2.2 LoRA API questions

All Wan models

Wan 2.5 adds sound, 1080p and 10-second clips; Wan 2.2 LoRA is the one when you need your own weights.

• Wan 3.0 APIUp to 30-second clips with synced audioFrom 34 credits for a 5-second clip
• Wan 3.0 Prime APIQuicker Wan 3.0 renders, up to 30 seconds with audioFrom 46 credits for a 5-second clip
• Wan 3.0 Pro Prime APIQuicker Wan 3.0 Pro with 2K and 4K outputFrom 176 credits for a 5-second clip
• Wan 3.0 Pro APIWan 3.0 at 1080p, 2K or 4K, up to 30 secondsFrom 108 credits for a 5-second clip
• Wan 2.7 Pro APILarge 4K canvases and nine-image compositesFrom 12 credits per image
• Wan 2.7 APIThinks through the composition, then draws up to four imagesFrom 5 credits per image
• Wan 2.6 Flash APIQuick multi-shot clips from a single imageFrom 17 credits for a 5-second clip
• Wan 2.6 APIMulti-shot sequences with sound at up to 1080pFrom 49 credits for a 5-second clip
• Wan 2.5 API1080p clips with sound that can follow your own audioFrom 34 credits for a 5-second clip
• Wan 2.2 Animate APIDrive a character photo with a reference videoFrom 7.95 credits per second
• Wan 2.2 LoRA APIWan 2.2 video with your LoRAs on either expert passFrom 18 credits for a 5-second clip
• Wan 2.2 APISimple five-second clips at 480p or 720pFrom 36 credits per run
• Wan 2.2 5B LoRA APILight 720p Wan 2.2 clips that load your own LoRAsFrom 18 credits per run
• Wan 2.2 Image LoRA APIWan 2.2 stills with up to nine LoRAs across three slotsFrom 5 credits per image
• Wan 2.1 LoRA APIWan 2.1 video and edits with your own LoRAs, camera moves includedFrom 36 credits per run
• Wan 2.1 Image LoRA APIPhotoreal Wan 2.1 stills and restyles with your LoRAsFrom 5 credits per image

Other video APIs

• MiniMax H3 APIExpressive clips with audio, up to 2KFrom 28 credits for a 5-second clip
• MiniMax H3 Singularity LoRA APICommunity-tuned H3 video that loads your own LoRAsFrom 45 credits for a 5-second clip
• MiniMax H3 LoRA APIMiniMax H3 video with sound and up to three of your LoRAsFrom 38 credits for a 5-second clip
• LTX-2.3 LoRA APILTX-2.3 clips with stereo sound and your own LoRAsFrom 18 credits for a 5-second clip
• LTX-2 19B LoRA APILTX-2 clips with sound and your own LoRA stylesFrom 14 credits for a 5-second clip

More about Wan 2.2 LoRA

Try it

Wan 2.2 LoRA AI Video Generator onlineCreate videos with Wan 2.2 LoRA in PopNow

Docs

Wan 2.2 LoRA model ID and input schema in the API docsPopNow API quickstart: your first request in five minutesImage to video guide for the PopNow APIWebhooks: get Wan 2.2 LoRA results without polling