Ltx 095 is a Lightricks video-generation entry with documented text-to-video and image-to-video capability. Keep this exact model selection with the shot when comparing or revising results. A text brief establishes the scene, while an optional image can supply the starting composition and subject appearance.
Build the brief around a visible change. A curtain lifting in a breeze, a ceramic cup rotating into a new view or a character turning toward a sound each gives the sequence an identifiable event. Describe the initial situation, the movement and the view that should remain at the end.
For a scene developed from text, identify the main subject and the details needed to recognize it. Add the location, lighting and camera viewpoint that shape the shot. Keep the description internally consistent so the same subject, place and action can be followed across the generated sequence.
For an image-led sequence, prepare a reference that fits the intended motion. Leave the subject enough room to move within the composition and keep important features visible. Describe how the scene should develop from the reference. Save that image with the result so changes in appearance can be checked against the source.
The documented controls include an optional negative prompt. Where this is exposed, use it to identify specific unwanted visual traits relevant to the scene. Keep the desired action and composition in the main brief. Preserve the exact text of both fields when recording the shot and comparing revisions.
Use an explicit camera direction when the viewpoint is part of the idea. State whether the camera stays fixed, moves alongside a subject or approaches a detail. Relate the camera’s movement to what the audience should notice. Review the resulting motion as a complete sequence, including its final framing.
For a series of visual studies, retain the exact model selection and use a consistent brief for comparison. Inspect the subject’s outline, material appearance, body proportions where relevant and relationship to the background. Record the observed differences that affect the shot’s purpose so the choice can be made from actual output.
Keep the finished video, prompt, image and selected settings together. When revising a candidate, identify a concrete issue such as a movement that ends too far from its target or a detail that changes during the shot. Preserve the successful scene elements and revise the instruction connected to that issue.
", "aboutText": "Ltx 095 is a Lightricks video-generation entry with documented text-to-video and image-to-video capability. Keep this exact model selection with the shot when comparing or revising results. A text brief establishes the scene, while an optional image can supply the starting composition and subject appearance.\n\nBuild the brief around a visible change. A curtain lifting in a breeze, a ceramic cup rotating into a new view or a character turning toward a sound each gives the sequence an identifiable event. Describe the initial situation, the movement and the view that should remain at the end.\n\nFor a scene developed from text, identify the main subject and the details needed to recognize it. Add the location, lighting and camera viewpoint that shape the shot. Keep the description internally consistent so the same subject, place and action can be followed across the generated sequence.\n\nFor an image-led sequence, prepare a reference that fits the intended motion. Leave the subject enough room to move within the composition and keep important features visible. Describe how the scene should develop from the reference. Save that image with the result so changes in appearance can be checked against the source.\n\nThe documented controls include an optional negative prompt. Where this is exposed, use it to identify specific unwanted visual traits relevant to the scene. Keep the desired action and composition in the main brief. Preserve the exact text of both fields when recording the shot and comparing revisions.\n\nUse an explicit camera direction when the viewpoint is part of the idea. State whether the camera stays fixed, moves alongside a subject or approaches a detail. Relate the camera’s movement to what the audience should notice. Review the resulting motion as a complete sequence, including its final framing.\n\nFor a series of visual studies, retain the exact model selection and use a consistent brief for comparison. Inspect the subject’s outline, material appearance, body proportions where relevant and relationship to the background. Record the observed differences that affect the shot’s purpose so the choice can be made from actual output.\n\nKeep the finished video, prompt, image and selected settings together. When revising a candidate, identify a concrete issue such as a movement that ends too far from its target or a detail that changes during the shot. Preserve the successful scene elements and revise the instruction connected to that issue.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "95ba978e7cd0312e4cda9feb9879340dcd9de94269d8e41fa6fbee7e04459811", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "ltx-095Ltx 095 generates videos from text or a supplied image. Describe the subject and action, then use an optional negative prompt to identify unwanted visual details when that control is available.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
Ltx 095 is a Lightricks video-generation entry with documented text-to-video and image-to-video capability. Keep this exact model selection with the shot when comparing or revising results. A text brief establishes the scene, while an optional image can supply the starting composition and subject appearance.
Build the brief around a visible change. A curtain lifting in a breeze, a ceramic cup rotating into a new view or a character turning toward a sound each gives the sequence an identifiable event. Describe the initial situation, the movement and the view that should remain at the end.
For a scene developed from text, identify the main subject and the details needed to recognize it. Add the location, lighting and camera viewpoint that shape the shot. Keep the description internally consistent so the same subject, place and action can be followed across the generated sequence.
For an image-led sequence, prepare a reference that fits the intended motion. Leave the subject enough room to move within the composition and keep important features visible. Describe how the scene should develop from the reference. Save that image with the result so changes in appearance can be checked against the source.
The documented controls include an optional negative prompt. Where this is exposed, use it to identify specific unwanted visual traits relevant to the scene. Keep the desired action and composition in the main brief. Preserve the exact text of both fields when recording the shot and comparing revisions.
Use an explicit camera direction when the viewpoint is part of the idea. State whether the camera stays fixed, moves alongside a subject or approaches a detail. Relate the camera’s movement to what the audience should notice. Review the resulting motion as a complete sequence, including its final framing.
For a series of visual studies, retain the exact model selection and use a consistent brief for comparison. Inspect the subject’s outline, material appearance, body proportions where relevant and relationship to the background. Record the observed differences that affect the shot’s purpose so the choice can be made from actual output.
Keep the finished video, prompt, image and selected settings together. When revising a candidate, identify a concrete issue such as a movement that ends too far from its target or a detail that changes during the shot. Preserve the successful scene elements and revise the instruction connected to that issue.
POST /v1/videostext, imagevideo| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits ltx-095 Conditions: Use this exact Ailoot routing selector. | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits Conditions: Describe the scene and its motion. | Default— |
Fieldimage | Typestring or array<string> | RequirementOptional | Values & limits Conditions: Use your actual publicly reachable image URL or base64 image; the selected model supports image input. | Default— |
Fieldnegative_prompt | Typestring | RequirementOptional | Values & limits Conditions: Describe content to avoid. | Default— |
| Parameter | Contract |
|---|---|
Parametercontent_type | Contractapplication/json |
Parameterrequired | Contractmodel, prompt |
Parameteroptional | Contractimage, negative_prompt |
Parametermaterial_types | Contracttext, image |
Parameterconditions | ContractUse this exact Ailoot routing selector., Describe the scene and its motion., Use your actual publicly reachable image URL or base64 image; the selected model supports image input., Describe content to avoid. |
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 $0.2 per request |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing quantity— | Charge Output · Estimated generation cost · Estimate for comparison only $0.2 estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\ncat > request.json <<'JSON'\n{\n "model": "ltx-095",\n "prompt": "A cat is walking on grass."\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 ltx-095
/v1/videos/generations