I2V 01 is MiniMax’s image-to-video edition for developing motion from a supplied first frame. The image establishes the subject and opening composition; an optional written prompt describes the action to follow. Use it when the starting visual already exists as a photograph, generated image or prepared scene and the task is to turn that visual into a short video sequence.
Choose the first frame for the motion you want to show. A product image should reveal the shape and surfaces that need to remain recognizable. A portrait should show the face clearly and leave enough space for the requested gesture. For an environment, identify the element that carries the movement, such as leaves, water or a person crossing the scene. Prepare the composition before generation so the action has a useful starting point.
The maker’s image requirements are JPG, JPEG, PNG or WebP, below 20 MB, with the shorter side greater than 300 pixels. The accepted aspect ratio runs from 2:5 to 5:2. The first frame can be supplied through an accessible image URL or encoded image data in the maker’s workflow. Keep the actual image file with the request record so the visual starting point is preserved for later comparison.
Use the text description to state visible motion, its pace and the intended closing state. For example, a ceramic cup on a table might remain in place while steam rises and the background curtain moves slightly. A person might turn toward a window and stop. Give the subject one readable action and explain which features should stay in view throughout it.
The prompt allows up to 2,000 characters. Write the useful details in a natural sequence: subject, action, setting and viewpoint. When the image already establishes the scene, use the text to clarify the movement rather than restating every visible object. A concise instruction about the direction and extent of a gesture can be more useful than several broad adjectives about cinematic quality.
The maker’s legacy image-to-video table lists 720P as the default for I2V 01 and does not list a ten-second option for this edition. Keep the chosen output settings attached to the clip and assess the actual timing of the result. Prepare a shot whose main action can be understood as one short sequence, with an opening and closing state that are useful for the intended edit.
Automatic prompt optimization is enabled by default in the documented maker workflow. Record whether it is used when comparing a revision. Keep the image constant when testing a different action description, or keep the description constant when comparing a different opening composition. This makes it easier to see which creative change affected the result.
Review the completed video from beginning to end. Check whether the subject remains recognizable, whether the movement respects the visible structure of the source and whether the important detail stays in frame. For a product scene, inspect edges and material appearance during motion; for a portrait, inspect face and gesture continuity. Save the actual clip with its source image and prompt, then revise the specific motion or framing problem that remains.
", "aboutText": "I2V 01 is MiniMax’s image-to-video edition for developing motion from a supplied first frame. The image establishes the subject and opening composition; an optional written prompt describes the action to follow. Use it when the starting visual already exists as a photograph, generated image or prepared scene and the task is to turn that visual into a short video sequence.\n\nChoose the first frame for the motion you want to show. A product image should reveal the shape and surfaces that need to remain recognizable. A portrait should show the face clearly and leave enough space for the requested gesture. For an environment, identify the element that carries the movement, such as leaves, water or a person crossing the scene. Prepare the composition before generation so the action has a useful starting point.\n\nThe maker’s image requirements are JPG, JPEG, PNG or WebP, below 20 MB, with the shorter side greater than 300 pixels. The accepted aspect ratio runs from 2:5 to 5:2. The first frame can be supplied through an accessible image URL or encoded image data in the maker’s workflow. Keep the actual image file with the request record so the visual starting point is preserved for later comparison.\n\nUse the text description to state visible motion, its pace and the intended closing state. For example, a ceramic cup on a table might remain in place while steam rises and the background curtain moves slightly. A person might turn toward a window and stop. Give the subject one readable action and explain which features should stay in view throughout it.\n\nThe prompt allows up to 2,000 characters. Write the useful details in a natural sequence: subject, action, setting and viewpoint. When the image already establishes the scene, use the text to clarify the movement rather than restating every visible object. A concise instruction about the direction and extent of a gesture can be more useful than several broad adjectives about cinematic quality.\n\nThe maker’s legacy image-to-video table lists 720P as the default for I2V 01 and does not list a ten-second option for this edition. Keep the chosen output settings attached to the clip and assess the actual timing of the result. Prepare a shot whose main action can be understood as one short sequence, with an opening and closing state that are useful for the intended edit.\n\nAutomatic prompt optimization is enabled by default in the documented maker workflow. Record whether it is used when comparing a revision. Keep the image constant when testing a different action description, or keep the description constant when comparing a different opening composition. This makes it easier to see which creative change affected the result.\n\nReview the completed video from beginning to end. Check whether the subject remains recognizable, whether the movement respects the visible structure of the source and whether the important detail stays in frame. For a product scene, inspect edges and material appearance during motion; for a portrait, inspect face and gesture continuity. Save the actual clip with its source image and prompt, then revise the specific motion or framing problem that remains.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "9fc419be37b331ca26edf5e12071d7511362bd3c391b69e4071979f651b77e2f", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "minimaxi-i2v-01I2V 01 animates a supplied first-frame image, with an optional text brief describing the action. Prepare the opening composition, direct the visible motion and review the completed clip for subject continuity and framing.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
I2V 01 is MiniMax’s image-to-video edition for developing motion from a supplied first frame. The image establishes the subject and opening composition; an optional written prompt describes the action to follow. Use it when the starting visual already exists as a photograph, generated image or prepared scene and the task is to turn that visual into a short video sequence.
Choose the first frame for the motion you want to show. A product image should reveal the shape and surfaces that need to remain recognizable. A portrait should show the face clearly and leave enough space for the requested gesture. For an environment, identify the element that carries the movement, such as leaves, water or a person crossing the scene. Prepare the composition before generation so the action has a useful starting point.
The maker’s image requirements are JPG, JPEG, PNG or WebP, below 20 MB, with the shorter side greater than 300 pixels. The accepted aspect ratio runs from 2:5 to 5:2. The first frame can be supplied through an accessible image URL or encoded image data in the maker’s workflow. Keep the actual image file with the request record so the visual starting point is preserved for later comparison.
Use the text description to state visible motion, its pace and the intended closing state. For example, a ceramic cup on a table might remain in place while steam rises and the background curtain moves slightly. A person might turn toward a window and stop. Give the subject one readable action and explain which features should stay in view throughout it.
The prompt allows up to 2,000 characters. Write the useful details in a natural sequence: subject, action, setting and viewpoint. When the image already establishes the scene, use the text to clarify the movement rather than restating every visible object. A concise instruction about the direction and extent of a gesture can be more useful than several broad adjectives about cinematic quality.
The maker’s legacy image-to-video table lists 720P as the default for I2V 01 and does not list a ten-second option for this edition. Keep the chosen output settings attached to the clip and assess the actual timing of the result. Prepare a shot whose main action can be understood as one short sequence, with an opening and closing state that are useful for the intended edit.
Automatic prompt optimization is enabled by default in the documented maker workflow. Record whether it is used when comparing a revision. Keep the image constant when testing a different action description, or keep the description constant when comparing a different opening composition. This makes it easier to see which creative change affected the result.
Review the completed video from beginning to end. Check whether the subject remains recognizable, whether the movement respects the visible structure of the source and whether the important detail stays in frame. For a product scene, inspect edges and material appearance during motion; for a portrait, inspect face and gesture continuity. Save the actual clip with its source image and prompt, then revise the specific motion or framing problem that remains.
POST /v1/videostext, imagevideo| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits minimaxi-i2v-01 Conditions: Use the exact Ailoot model selector. | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits Conditions: Describe the scene and motion. | Default— |
Fieldend_image | Typestring | RequirementOptional | Values & limits Conditions: An end frame applies only in a supported image input mode. | Default— |
Fieldimage | Typestring 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— |
| Parameter | Contract |
|---|---|
Parametercontent_type | Contractapplication/json |
Parameterrequired | Contractmodel, prompt |
Parameteroptional | Contractend_image, image |
Parametermaterial_types | Contracttext, image |
Parameterconditions | 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}
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.
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 per request |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing quantity— | Charge Output · Estimated generation cost · Estimate for comparison only $1 estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →
# Replace YOUR_ACCESSIBLE_IMAGE_URL with your actual reachable reference image URL.\nset -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\ncat > request.json <<'JSON'\n{\n "model": "minimaxi-i2v-01",\n "prompt": "A cat is walking on grass.",\n "image": "YOUR_ACCESSIBLE_IMAGE_URL"\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \\\n -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Create once; retain id, polling_url, original task identifiers and every header.\nset -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_STATUS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path("result.json").read_text())\nu=urljoin("https://api.ailoot.ai",r["polling_url"])\np=urlsplit(u)\nif p.scheme!="https" or p.netloc!="api.ailoot.ai" or p.username or p.password:\n raise SystemExit("Unexpected returned polling URL; preserve the response")\nsubprocess.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)\n# Read this same original polling_url again while pending.\n# Preserve unknown/result_pending_check; do not repeat creation.\nPY_STATUS\nset -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path("status.json").read_text())\nroles={}\ndef visit(v,path=""):\n if isinstance(v,dict):\n for k,x in v.items(): visit(x,path+"/"+k)\n elif isinstance(v,list):\n for i,x in enumerate(v): visit(x,path+"/"+str(i))\n elif isinstance(v,str):\n u=urljoin("https://api.ailoot.ai",v); p=urlsplit(u)\n 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"):\n roles.setdefault(u,[]).append(path)\nvisit(r)\nif not roles: raise SystemExit("No completed owned assets; retain the original status")\nmanifest=[]\nfor i,(u,paths) in enumerate(roles.items()):\n target=Path(f"asset-{i}.bin")\n subprocess.run(["curl","--fail-with-body","--silent","--show-error",u,"-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"],"-o",str(target)],check=True)\n raw=target.read_bytes()\n if not raw: raise SystemExit("Empty asset; retain original status and metadata")\n 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"\n name=f"asset-{i}.{ext}"\n if target.name!=name: target.rename(name)\n manifest.append({"file":name,"response_paths":paths,"bytes":len(raw)})\nPath("asset-manifest.json").write_text(json.dumps(manifest,indent=2))\nprint("Saved",len(manifest),"unique owned assets; every response role retained")\nPY_ASSETS\nGET /v1/videos/{request_id}GET /v1/videos/generations/{request_id}GET /v1/videos/{request_id}/contentGET /v1/media/assetsGET /v1/media/assets/{asset_id}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.
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.
| Field | Type |
|---|---|
Fieldid | Typestring |
Fieldpolling_url | Typestring |
Fieldprovider_task_id | Typestring |
Fieldtask_id | Typestring |
Fieldstatus | Typestring |
Fieldvideo_url | Typestring |
Ailoot Ultra minimaxi-i2v-01
/v1/videos/generations