Wan 2.2 LoRA API

About Wan 2.2 LoRA

Wan 2.2 LoRA is Alibaba's Wan 2.2 video model with LoRA support, for text-to-video, image-to-video and video-extend: layer your own trained weights on the base model to steer style, character or motion. Attach up to three LoRA files each to the high-noise pass, the low-noise pass or both, at any strength from 0 to 4. Five or eight second clips at 480p or 720p; the weights stay on your own hosting.

Call it with the model name alibaba/wan-2.2-lora/text-to-video on POST /jobs/createTask, from 36 credits for a 5-second clip ($0.36). New accounts get 30 free credits to try it in the Playground first.

Introduction

Wan 2.2 LoRA Text to video renders a five or eight second clip from a written prompt on Alibaba's Wan 2.2 A14B model, with your own LoRA weights loaded on top. Choose landscape 16:9 or portrait 9:16 at 480p or 720p, add a negative prompt, and attach up to three LoRAs to each of three slots.

Choose a mode by starting material

Key features

Two experts, three LoRA slots

Wan 2.2 A14B splits denoising between a high-noise expert, which sets layout and motion, and a low-noise expert, which refines detail. high_noise_loras and low_noise_loras target one expert each and loras targets both. Most Wan 2.2 LoRAs on Hugging Face and Civitai are published as a matching pair of high-noise and low-noise files, and the two slots take them as they come.

Landscape or portrait, rendered natively

16:9 comes back at 832×480 or 1280×720 and 9:16 at 480×832 or 720×1280. A vertical clip is composed for the phone rather than cropped out of a wide shot.

Comparable runs

With the same seed and inputs we got the identical clip back, byte for byte. That makes LoRA strength sweeps honest: change one scale, keep everything else, and the difference you see is the LoRA.

A negative prompt

Unlike the image-to-video endpoint, this one accepts negative_prompt for what must stay out of the shot, such as blur, extra fingers or stray lettering.

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

A series in one look

Load a style LoRA and write a list of scenes. Each clip is a new shot, but the rendering stays the same across the set.

Vertical clips for feeds

Render 9:16 at 720p for short-video platforms without reframing a landscape clip.

Prompt guide & pro tips

Subject, action, light, camera

Plain sentences work well. Say who is in the shot and how old they are, what they do from start to finish, where it happens and in what light, and finish with one camera move. This is the prompt behind the fireside example, run at 720p, 16:9, five seconds with the Vintage Cinematic LoRA in loras at scale 1; the first three words are that LoRA's trigger:

Check that a LoRA matches the base

A LoRA trained for another model is accepted without an error and changes nothing. Before a sweep, run the same prompt and seed with and without the LoRA; if the clips are identical, the file does not fit Wan 2.2.

Link the file, not the page

The path must point at the .safetensors file itself. A repository page, or a file that needs a login, fails the run.

Draft small

A five-second 480p clip took about a minute in our tests and a 720p clip about two. Settle the prompt and LoRA scales at 480p, then re-render at 720p or eight seconds.

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/text-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/text-to-video",
  "input": {
    "prompt": "A slow aerial shot drifting over a misty pine forest at sunrise",
    "aspect_ratio": "16:9",
    "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