Minimax H3 Singularity Reference To Video LoRA API Documentation

Minimax H3 Singularity Reference To Video LoRA API Documentation

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MiniMax H3 Singularity Open Weights Reference to Video with custom LoRA support generates coherent 480P / 540P / 768P videos from prompts and multimodal references, guided by up to 9 reference images, 3 reference videos, and 3 reference audios, with native stereo audio and flexible reference-based video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

MiniMax H3 Singularity Reference-to-Video LoRA Open Weights runs the open-weights edition of MiniMax H3 Singularity with LoRA support on WaveSpeedAI. This endpoint is separate from the official minimax/h3 API and uses its own 480p / 768p / 1080p resolution options and per-second pricing.


Why Choose This?

  • Open-weights MiniMax H3 Singularity workflow
    Use the open-weights edition of MiniMax H3 Singularity through WaveSpeedAI-hosted infrastructure.

  • Multimodal reference guidance
    Guide the output with reference images, reference videos, and reference audio.

  • Native stereo audio
    Generate visuals and synchronized stereo audio together in one pass.

  • LoRA support
    Load up to 3 LoRA weights per request, each with its own scale.

  • Reference-aware prompting
    Use tags such as <Picture 1>, <Video 1>, and <Audio 1> to assign clear roles to each input.

  • Flexible aspect ratios
    Supports landscape, vertical, square, classic, and cinematic aspect ratios.


Parameters

ParameterRequiredDescription
promptYesDesired video instructions with references addressed as <Picture 1>, <Video 1>, <Audio 1>, plus an Audio: line for soundtrack guidance.
reference_imagesNoUp to 9 reference image URLs.
reference_videosNoUp to 3 reference video URLs, usable at any output resolution. Their soundtracks are used automatically.
reference_audiosNoUp to 3 standalone reference audio URLs.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, or 9:21. Default: 16:9.
resolutionNoOutput resolution: 480p, 540p, 768p, or 1080p. Default: 480p.
durationNoOutput duration in seconds. Range: 3–15. Default: 5.
seedNoFixed seed for reproducible output.
lorasNoUp to 3 LoRA weights. Each item uses {path, scale}, where path is a LoRA file URL.

At least one of reference_images or reference_videos is required. reference_audios can guide sound, voice, rhythm, or ambience, but audio cannot be used as the only reference input.


Reference Rules

  • At least one reference image or reference video is required.
  • Reference audio cannot be provided alone.
  • Reference video soundtracks are picked up automatically.
  • Total reference video duration is capped at 15 seconds.
  • Longer reference video inputs may be trimmed within the 15-second budget.

How to Use

  1. Add reference media — Provide reference images or reference videos. Add reference audio when soundtrack, voice, rhythm, or ambience guidance is needed.
  2. Write the prompt — Use <Picture 1>, <Video 1>, and <Audio 1> tags to explain how each reference should be used.
  3. Choose aspect ratio — Select the output format that matches your target platform or composition.
  4. Choose resolution — Use 480p for lower-cost generation, 540p for a mid-price step up, 768p for the model’s native canvas, or 1080p for full-HD output. Reference videos work at either; they are conformed to a 480p pixel budget internally, so they stay affordable at 768p.
  5. Set duration — Choose a duration from 3 to 15 seconds.
  6. Add LoRAs optional — Provide up to 3 LoRA files with individual scale values.
  7. Set seed optional — Use a fixed seed when reproducibility is needed.
  8. Submit — Generate the final MP4 with native stereo audio.

Pricing

Pricing is based on generated video duration, reference video duration, selected resolution, and the number of reference images and audios.

ItemPrice
Output video (480p)$0.06 / second
Output video (540p)$0.09 / second
Output video (768p)$0.135 / second
Output video (1080p)$0.27 / second
Reference video (480p output)$0.06 / second
Reference video (540p output)$0.09 / second
Reference video (768p output)$0.135 / second
Reference video (1080p output)$0.27 / second
Reference image$0.02 each
Reference audio$0.02 each

Output duration and total reference video duration are each capped at 15 seconds for pricing. Reference video duration is rounded up to the next whole second.

Example: a 10s 480p output with 2 reference images and a 5s reference video costs 10 × $0.06 + 2 × $0.02 + 5 × $0.06 = $0.94.


Best Use Cases

  • Reference-guided video generation — Use images, videos, and audio to guide identity, setting, motion, or sound.
  • Character-consistent scenes — Generate videos that follow character or style references.
  • Motion transfer and camera guidance — Use reference videos to guide motion, pacing, or camera rhythm.
  • Audio-guided generation — Use reference audio to guide music, voice, ambience, or sound direction.
  • LoRA-guided creative workflows — Combine references with LoRA weights for stronger style or subject control.
  • Social and cinematic clips — Generate short videos for vertical, landscape, square, or cinematic layouts.

Pro Tips

  • Assign a clear job to every reference in the prompt.
  • Use exact tags such as <Picture 1>, <Video 1>, and <Audio 1>.
  • Write prompts as a timeline with timestamped beats.
  • Add an Audio: line to control soundtrack, ambience, voice, and effects.
  • Use reference videos when motion, gesture, pacing, or camera behavior matters.
  • Use reference images when identity, subject appearance, setting, or style matters.
  • Use reference audio when rhythm, mood, voice, or sound design matters.
  • Use a fixed seed when comparing reference combinations or LoRA scale changes.
  • Keep LoRA combinations focused; too many strong LoRAs can reduce control.

Model

Powered by the community MiniMax H3 Singularity v1.3 checkpoint. Supports the same reference input format as WaveSpeed MiniMax H3.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "16:9",
  "resolution": "480p",
  "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3-singularity/reference-to-video-lora" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of the desired video. Refer to reference inputs as <Picture 1>..<Picture 9>, <Video 1>..<Video 3>, and <Audio 1>..<Audio 3>. Audio is generated natively together with the video.
reference_imagesarray<string>No-0 ~ 9 itemsReference image URLs (up to 9). At least one reference input is required.
reference_videosarray<string>No-0 ~ 3 itemsReference video URLs (up to 3, usable at any output resolution). Their soundtracks are used automatically. Total reference video duration is budgeted to 15 seconds; longer inputs are truncated fairly.
reference_audiosarray<string>No-0 ~ 3 itemsStandalone reference audio URLs (up to 3, trimmed to 15 seconds each).
aspect_ratiostringNo16:916:9, 9:16, 1:1, 4:3, 3:4, 21:9, 9:21Output aspect ratio.
resolutionstringNo480p480p, 540p, 768p, 1080pOutput video resolution. 768p is the model's native canvas; 480p is a faster, lower-cost tier; 540p is a mid tier at 1.5x the 480p price. 1080p is the highest-quality full-HD tier at 2x the 768p price (generation takes longer).
durationintegerNo53, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15Output video duration in seconds.
lorasarray<object>No0 ~ 3 itemsList of LoRAs to apply (max 3).
seedintegerNo--The 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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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