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.
Idle
$0.15per run·~66 / $10
The fictional adult man in the reference image performs a joyful dance while SINGING in English. In a single continuous medium-wide shot in the sunny botanical conservatory, he stands and dances with rhythmic side steps, a playful shoulder bounce and expressive hand gestures. He looks toward the camera and melodically sings the original English lyric: "Feel the sunshine, dance with me!" Clear expressive male singing voice, upbeat pop instrumental accompaniment, synchronized singing mouth movements. He sings throughout the clip rather than speaking. Preserve his face and teal outfit. Smooth natural movement, cheerful music-video energy. English vocals only. No Chinese speech or lyrics. No subtitles or on-screen text.
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Desired video instructions with references addressed as <Picture 1>, <Video 1>, <Audio 1>, plus an Audio: line for soundtrack guidance. |
| reference_images | No | Up to 9 reference image URLs. |
| reference_videos | No | Up to 3 reference video URLs, usable at any output resolution. Their soundtracks are used automatically. |
| reference_audios | No | Up to 3 standalone reference audio URLs. |
| aspect_ratio | No | Output aspect ratio: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, or 9:21. Default: 16:9. |
| resolution | No | Output resolution: 480p, 540p, 768p, or 1080p. Default: 480p. |
| duration | No | Output duration in seconds. Range: 3–15. Default: 5. |
| seed | No | Fixed seed for reproducible output. |
| loras | No | Up 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.
<Picture 1>, <Video 1>, and <Audio 1> tags to explain how each reference should be used.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.3 to 15 seconds.Pricing is based on generated video duration, reference video duration, selected resolution, and the number of reference images and audios.
| Item | Price |
|---|---|
| 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 = $0.94.
<Picture 1>, <Video 1>, and <Audio 1>.Audio: line to control soundtrack, ambience, voice, and effects.seed when comparing reference combinations or LoRA scale changes.Powered by the community MiniMax H3 Singularity v1.3 checkpoint. Supports the same reference input format as WaveSpeed MiniMax H3.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3-singularity/reference-to-video-lora with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Minimax H3 Singularity Reference To Video Lora below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "480p",
"duration": 5
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(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 "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3-singularity/reference-to-video-lora";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "480p",
"duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "480p",
"duration": 5
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3-singularity/reference-to-video-lora", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Minimax H3 Singularity Reference To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/minimax-h3-singularity-reference-to-video-lora.
Minimax H3 Singularity Reference To Video Lora starts at $0.15 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.
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `seed`, `reference_images`. 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/minimax-h3-singularity-reference-to-video-lora.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.