MiniMax: S2V 01

S2V 01 uses a portrait reference to guide a character in a newly generated video. Supply one clear face image and describe the scene and action; the maker’s subject-reference workflow treats the image as a character reference.

Ailoot Ultra · Video POST /v1/videos minimaxi-s2v-01

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

S2V 01 is MiniMax’s subject-reference video model. The supplied image guides a character’s appearance, while the text describes the video scene and action. Its documented reference type is a person’s face, so prepare the portrait as an identity guide for the character you want to place in the generated sequence.

Choose a reference in which the intended face is clear and easy to distinguish. Avoid hiding defining features behind a hand, a large accessory or a severe crop when those features matter to the result. Keep the portrait consistent across related shots so the source used to guide the character remains known. The reference provides appearance information; use the prompt to explain the scene the character should perform.

The maker’s subject-reference schema accepts one image in the reference-image array. Supported formats are JPG, JPEG, PNG and WebP, with a file size below 20 MB. The shorter side must exceed 300 pixels, and the aspect ratio must be between 2:5 and 5:2. Keep the exact image file with the generation record instead of substituting a different portrait during a later comparison.

Describe a scene with a clear role for the referenced person. For example, the character might walk into a quiet workshop, look at an object on the table and stop beside it. Specify the action, setting and viewpoint that matter to the finished shot. If the face needs to remain readable, plan the framing and movement around that requirement.

The text description supports up to 2,000 characters. Use those characters for concrete instructions: what the character does, what surrounds them and what the final view should show. Describe clothing or scene details when they are important to the story, then inspect how the generated video combines them with the supplied identity reference. Keep the reference role distinct from a request to reproduce the portrait’s entire background as an opening frame.

Automatic prompt optimization is documented and enabled by default. It can be disabled when closer control of the written description is needed. Preserve that choice with the text and portrait when comparing different scenes. To investigate a likeness issue, keep the scene brief constant while comparing an improved reference; to investigate the action, keep the reference constant while revising the motion description.

The maker’s workflow returns a task identity before the video is complete. Keep that original identity through the status and result steps, then save the completed clip for inspection and editing. Retain the portrait, prompt and resulting video as one record so a later shot can be compared with the actual material that guided the earlier result.

Review the character throughout the sequence, including turns, gestures and changes in framing. Check facial consistency, the readability of the intended action and the relationship between the character and scene objects. Select the clip that best serves the shot’s purpose, and identify any concrete mismatch before revising the input. A recurring character workflow benefits from reviewing several finished shots side by side, using the same portrait reference and a clear record of each scene description.

Ailoot Ultra · Video POST /v1/videos minimaxi-s2v-01

minimaxi-s2v-01

MiniMax /minimaxi-s2v-01

Overview

Accepted inputs: Text · Images
Results: Video

Available in Ailoot · inputs & methods

Ailoot Ultra · Video POST /v1/videos

Input types: text, image
Output types: video

Field	Type	Requirement	Values & limits	Default
Field`model`	Type`string`	RequirementRequired	Values & limits minimaxi-s2v-01 Conditions: Use the exact Ailoot model selector.	Default—
Field`prompt`	Type`string`	RequirementRequired	Values & limits Conditions: Describe the scene and motion.	Default—
Field`end_image`	Type`string`	RequirementOptional	Values & limits Conditions: An end frame applies only in a supported image input mode.	Default—
Field`image`	Type`string or array<string>`	RequirementOptional	Values & limits Conditions: Use an actual publicly reachable image URL or a base64 image string; no maximum image count is asserted here.	Default—

Method parameters and lifecycle

Parameter	Contract
Parameter`content_type`	Contractapplication/json
Parameter`required`	Contractmodel, prompt
Parameter`optional`	Contractend_image, image
Parameter`material_types`	Contracttext, image
Parameter`conditions`	ContractUse the exact Ailoot model selector., Describe the scene and motion., An end frame applies only in a supported image input mode., Use an actual publicly reachable image URL or a base64 image string; no maximum image count is asserted here.

Method aliases: /v1/videos/generations

Lifecycle: submit_once_poll_original

GET /v1/videos/{request_id}

GET /v1/videos/generations/{request_id}

GET /v1/videos/{request_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Pricing

How the final charge is calculated

The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode: Not specified When fast mode is selected
Flex mode: Not specified When flex mode is selected
Maximum reasoning effort: Not specified When maximum reasoning effort uses the default adjustment

Estimated rates for comparison

Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

Configuration	Rate schedule	Forecast quantity	Billing quantity	Charge
ConfigurationBase token rates	Rate scheduleBase rate	Forecast quantity—	Billing quantity—	Charge Input · Input tokens · Estimate for comparison only — / 1K tokens Output · Output tokens · Estimate for comparison only — / 1K tokens Input · Cache read · Estimate for comparison only — / 1K tokens Input · Cache write · Estimate for comparison only — / 1K tokens Input · Cache write, 1 hour · Estimate for comparison only — / 1K tokens
ConfigurationPer request	Rate schedule—	Forecast quantity—	Billing quantityone request	Charge Input · Estimate for comparison only $1.4 per request
ConfigurationEstimated generation cost	Rate schedule—	Forecast quantityone generation estimate	Billing quantity—	Charge Output · Estimated generation cost · Estimate for comparison only $1.4 estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation.

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot Ultra · Video

curl · create once and retain receiptRead the original taskSave every completed owned asset

# Replace YOUR_ACCESSIBLE_IMAGE_URL with your actual reachable reference image URL.
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
cat > request.json <<'JSON'
{
  "model": "minimaxi-s2v-01",
  "prompt": "A cat is walking on grass.",
  "image": "YOUR_ACCESSIBLE_IMAGE_URL"
}
JSON
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
# Create once; retain id, polling_url, original task identifiers and every header.

set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_STATUS'
import json,os,subprocess
from pathlib import Path
from urllib.parse import urljoin,urlsplit
r=json.loads(Path("result.json").read_text())
u=urljoin("https://api.ailoot.ai",r["polling_url"])
p=urlsplit(u)
if p.scheme!="https" or p.netloc!="api.ailoot.ai" or p.username or p.password:
    raise SystemExit("Unexpected returned polling URL; preserve the response")
subprocess.run(["curl","--fail-with-body","--silent","--show-error",u,"-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"],"-D","status-headers.txt","-o","status.json"],check=True)
# Read this same original polling_url again while pending.
# Preserve unknown/result_pending_check; do not repeat creation.
PY_STATUS

set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_ASSETS'
import json,os,subprocess
from pathlib import Path
from urllib.parse import urljoin,urlsplit
r=json.loads(Path("status.json").read_text())
roles={}
def visit(v,path=""):
    if isinstance(v,dict):
        for k,x in v.items(): visit(x,path+"/"+k)
    elif isinstance(v,list):
        for i,x in enumerate(v): visit(x,path+"/"+str(i))
    elif isinstance(v,str):
        u=urljoin("https://api.ailoot.ai",v); p=urlsplit(u)
        if p.scheme=="https" and p.netloc=="api.ailoot.ai" and not p.username and not p.password and p.path.startswith("/v1/media/assets/") and p.path.endswith("/content"):
            roles.setdefault(u,[]).append(path)
visit(r)
if not roles: raise SystemExit("No completed owned assets; retain the original status")
manifest=[]
for i,(u,paths) in enumerate(roles.items()):
    target=Path(f"asset-{i}.bin")
    subprocess.run(["curl","--fail-with-body","--silent","--show-error",u,"-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"],"-o",str(target)],check=True)
    raw=target.read_bytes()
    if not raw: raise SystemExit("Empty asset; retain original status and metadata")
    ext="glb" if raw[:4]==b"glTF" else "png" if raw[:8]==b"\x89PNG\r\n\x1a\n" else "jpg" if raw[:3]==b"\xff\xd8\xff" else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "mp4" if raw[4:8]==b"ftyp" else "bin"
    name=f"asset-{i}.{ext}"
    if target.name!=name: target.rename(name)
    manifest.append({"file":name,"response_paths":paths,"bytes":len(raw)})
Path("asset-manifest.json").write_text(json.dumps(manifest,indent=2))
print("Saved",len(manifest),"unique owned assets; every response role retained")
PY_ASSETS

Receive and save results

Ailoot Ultra · Video

GET /v1/videos/{request_id}
GET /v1/videos/generations/{request_id}
GET /v1/videos/{request_id}/content
GET /v1/media/assets
GET /v1/media/assets/{asset_id}

Keep all completed results

Save every completed video or returned file; retrieve every actual returned asset URL.

Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.

If the original response needs checking

Keep the returned public task or operation id and all headers. Read only the original task; unknown or result_pending_check does not authorize another creation.

Response fields

Field	Type
Field`id`	Typestring
Field`polling_url`	Typestring
Field`provider_task_id`	Typestring
Field`task_id`	Typestring
Field`status`	Typestring
Field`video_url`	Typestring

Aliases

Model aliases

Ailoot Ultra minimaxi-s2v-01

Method path aliases

/v1/videos/generations

Related caller IDs

minimaxi-s2v-01

FAQ · MiniMax: S2V 01

What inputs and results are available?: POST /v1/videos · minimaxi-s2v-01: text, image → video
Which fields does the request use?: POST /v1/videos · minimaxi-s2v-01: model, prompt, end_image, image

MiniMax: S2V 01

MiniMax: S2V 01

Overview

Available in Ailoot · inputs & methods

Pricing

How the final charge is calculated

Estimated rates for comparison

Prices by configuration

Example requests

Ailoot Ultra · Video

Receive and save results

Ailoot Ultra · Video

Keep all completed results

If the original response needs checking

Aliases

Model aliases

Method path aliases

Related caller IDs

The company and its project portfolio

Buy tokens at a discount.

Connect the API to a product you sell.