Seedance 1.5 Pro is ByteDance Seed’s model for native joint audio-video generation. It models the visual action, speech and rhythm together, allowing a scene to include a character’s performance, synchronized dialogue and a designed soundscape. The central difference from a visual-only video brief is that sound becomes part of the scene description: who speaks, how the line is delivered and what the audience hears around the action.
The documented sound range includes environmental sounds, action effects, synthesized sounds, instruments, background music and vocals. The model is intended to connect sound with what happens on screen: an object striking a table, a door opening or a character speaking. Use this for a short dramatic beat, a voiced product advertisement or a scene whose mood depends on both performance and sound.
Start the prompt with the subject and movement, then add the environment, camera, visual style and sound. A concise scene might be: “A chef lifts the lid from a small pot, smiles and says, ‘That is ready.’ A soft burst of steam escapes, followed by the quiet clink of the lid resting on the counter.” This gives the spoken line and effects a visible cause.
The model supports monologues and conversations involving several speakers, with lip movements matched to the characters. Its guide documents Mandarin, Chinese dialects including Cantonese, Shaanxi and Sichuan, and spoken English, Japanese, Korean, Spanish and Indonesian. The documented prompt languages are Chinese and English; the language of the prompt and the language requested for a spoken line are separate choices.
Identify each speaker by a consistent visible feature and write the lines in quotation marks. Include delivery instructions such as a calm voice, a hesitant response or a faster pace, and make turn-taking explicit. For two speakers, describe who speaks first and whose reaction the camera shows. A short exchange that fits the chosen clip gives the model a clearer performance target than a long passage with unspecified speakers.
Voiceover can be directed through timbre, emotion, intonation and speech rate. It is useful when the voice should explain a product while the camera stays on the product, or when a narrator sets the mood without an on-screen speaker. The guide describes maintaining a recognizable timbre while changing delivery; review the actual wording, pronunciation and performance together with the image.
Describe effects as events connected to the action: footsteps as a character enters, rain becoming stronger outside a window or fabric moving as a coat is put on. Background music is generated to match the prompt by default. Specify its mood, style and rhythm when those matter, and state when it should begin or fade relative to the scene.
For a quiet demonstration, request restrained music and emphasize the product’s handling sounds. For an animated scene, describe the action beat that should coincide with the musical rhythm. The generated soundtrack is mono. The documented audio control also allows a silent video when the project needs a separately prepared soundtrack.
The model supports shot changes with consistent visual treatment, reverse shots for conversation and instructions about transition timing. A useful dialogue sequence can establish two speakers in a medium shot, cut to the responding speaker and return to the first speaker’s reaction. State the identity of each person when a shot changes.
The guide covers high, low and eye-level angles; over-the-shoulder and subjective viewpoints; and wide, medium and close framing. Describe a camera move through its starting composition, direction, amplitude and ending composition. For example, a slow dolly-in can end on the speaker’s expression as a line finishes. Connect the movement to the story rather than listing several camera techniques without a purpose.
The documented input modes are text-to-video, first-frame image-to-video and first-and-last-frame image-to-video. A prepared first image establishes the starting composition; a final image can define the intended endpoint. The output specifications list MP4 at 24 fps, 480p, 720p or 1080p, and 4–12-second duration settings. The model can also choose a whole-second length within its supported range. The documented ratios are 21:9, 16:9, 4:3, 1:1, 3:4 and 9:16, with adaptive framing supported.
The manufacturer documents a two-stage Draft workflow: a 480p preview to inspect scene structure, shot choices, motion and prompt intent, followed by a final generation that reuses the creative inputs. This is a way to judge a planned performance before choosing its final resolution. The preview itself is limited to 480p and does not support returning the last frame. The producer’s Draft task ID remains valid for seven days after creation; generate the final video from it within that window.
For image-led work, prepare the source picture for the intended framing: changing the output ratio can crop the image. A repeated seed produces similar rather than guaranteed identical frames, and a fixed-camera instruction is not a perfect lock guarantee. Most importantly, judge a dialogue clip as one audio-visual performance: the correct speaker, audible line, facial reaction and camera emphasis all need to support the same event.
", "aboutText": "Seedance 1.5 Pro is ByteDance Seed’s model for native joint audio-video generation. It models the visual action, speech and rhythm together, allowing a scene to include a character’s performance, synchronized dialogue and a designed soundscape. The central difference from a visual-only video brief is that sound becomes part of the scene description: who speaks, how the line is delivered and what the audience hears around the action.\n\n### Joint audio-visual generation\n\nThe documented sound range includes environmental sounds, action effects, synthesized sounds, instruments, background music and vocals. The model is intended to connect sound with what happens on screen: an object striking a table, a door opening or a character speaking. Use this for a short dramatic beat, a voiced product advertisement or a scene whose mood depends on both performance and sound.\n\nStart the prompt with the subject and movement, then add the environment, camera, visual style and sound. A concise scene might be: “A chef lifts the lid from a small pot, smiles and says, ‘That is ready.’ A soft burst of steam escapes, followed by the quiet clink of the lid resting on the counter.” This gives the spoken line and effects a visible cause.\n\n### Dialogue and voiceover\n\nThe model supports monologues and conversations involving several speakers, with lip movements matched to the characters. Its guide documents Mandarin, Chinese dialects including Cantonese, Shaanxi and Sichuan, and spoken English, Japanese, Korean, Spanish and Indonesian. The documented prompt languages are Chinese and English; the language of the prompt and the language requested for a spoken line are separate choices.\n\nIdentify each speaker by a consistent visible feature and write the lines in quotation marks. Include delivery instructions such as a calm voice, a hesitant response or a faster pace, and make turn-taking explicit. For two speakers, describe who speaks first and whose reaction the camera shows. A short exchange that fits the chosen clip gives the model a clearer performance target than a long passage with unspecified speakers.\n\nVoiceover can be directed through timbre, emotion, intonation and speech rate. It is useful when the voice should explain a product while the camera stays on the product, or when a narrator sets the mood without an on-screen speaker. The guide describes maintaining a recognizable timbre while changing delivery; review the actual wording, pronunciation and performance together with the image.\n\n### Sound effects and background music\n\nDescribe effects as events connected to the action: footsteps as a character enters, rain becoming stronger outside a window or fabric moving as a coat is put on. Background music is generated to match the prompt by default. Specify its mood, style and rhythm when those matter, and state when it should begin or fade relative to the scene.\n\nFor a quiet demonstration, request restrained music and emphasize the product’s handling sounds. For an animated scene, describe the action beat that should coincide with the musical rhythm. The generated soundtrack is mono. The documented audio control also allows a silent video when the project needs a separately prepared soundtrack.\n\n### Shot transitions and camera direction\n\nThe model supports shot changes with consistent visual treatment, reverse shots for conversation and instructions about transition timing. A useful dialogue sequence can establish two speakers in a medium shot, cut to the responding speaker and return to the first speaker’s reaction. State the identity of each person when a shot changes.\n\nThe guide covers high, low and eye-level angles; over-the-shoulder and subjective viewpoints; and wide, medium and close framing. Describe a camera move through its starting composition, direction, amplitude and ending composition. For example, a slow dolly-in can end on the speaker’s expression as a line finishes. Connect the movement to the story rather than listing several camera techniques without a purpose.\n\n### Modes, output and preview\n\nThe documented input modes are text-to-video, first-frame image-to-video and first-and-last-frame image-to-video. A prepared first image establishes the starting composition; a final image can define the intended endpoint. The output specifications list MP4 at 24 fps, 480p, 720p or 1080p, and 4–12-second duration settings. The model can also choose a whole-second length within its supported range. The documented ratios are 21:9, 16:9, 4:3, 1:1, 3:4 and 9:16, with adaptive framing supported.\n\nThe manufacturer documents a two-stage Draft workflow: a 480p preview to inspect scene structure, shot choices, motion and prompt intent, followed by a final generation that reuses the creative inputs. This is a way to judge a planned performance before choosing its final resolution. The preview itself is limited to 480p and does not support returning the last frame. The producer’s Draft task ID remains valid for seven days after creation; generate the final video from it within that window.\n\nFor image-led work, prepare the source picture for the intended framing: changing the output ratio can crop the image. A repeated seed produces similar rather than guaranteed identical frames, and a fixed-camera instruction is not a perfect lock guarantee. Most importantly, judge a dialogue clip as one audio-visual performance: the correct speaker, audible line, facial reaction and camera emphasis all need to support the same event.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "7af825877cfe11f9f2280c063e2cdd9fca23ac4bd258d19d36157e4ff29b9eb5", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "bytedance/seedance-1-5-proByteDance Seedance 1.5 Pro generates video together with synchronized dialogue, sound effects and music. Direct the speakers, emotions, camera and sonic atmosphere to develop short dramas, voiced advertisements and character scenes.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
Seedance 1.5 Pro is ByteDance Seed’s model for native joint audio-video generation. It models the visual action, speech and rhythm together, allowing a scene to include a character’s performance, synchronized dialogue and a designed soundscape. The central difference from a visual-only video brief is that sound becomes part of the scene description: who speaks, how the line is delivered and what the audience hears around the action.
The documented sound range includes environmental sounds, action effects, synthesized sounds, instruments, background music and vocals. The model is intended to connect sound with what happens on screen: an object striking a table, a door opening or a character speaking. Use this for a short dramatic beat, a voiced product advertisement or a scene whose mood depends on both performance and sound.
Start the prompt with the subject and movement, then add the environment, camera, visual style and sound. A concise scene might be: “A chef lifts the lid from a small pot, smiles and says, ‘That is ready.’ A soft burst of steam escapes, followed by the quiet clink of the lid resting on the counter.” This gives the spoken line and effects a visible cause.
The model supports monologues and conversations involving several speakers, with lip movements matched to the characters. Its guide documents Mandarin, Chinese dialects including Cantonese, Shaanxi and Sichuan, and spoken English, Japanese, Korean, Spanish and Indonesian. The documented prompt languages are Chinese and English; the language of the prompt and the language requested for a spoken line are separate choices.
Identify each speaker by a consistent visible feature and write the lines in quotation marks. Include delivery instructions such as a calm voice, a hesitant response or a faster pace, and make turn-taking explicit. For two speakers, describe who speaks first and whose reaction the camera shows. A short exchange that fits the chosen clip gives the model a clearer performance target than a long passage with unspecified speakers.
Voiceover can be directed through timbre, emotion, intonation and speech rate. It is useful when the voice should explain a product while the camera stays on the product, or when a narrator sets the mood without an on-screen speaker. The guide describes maintaining a recognizable timbre while changing delivery; review the actual wording, pronunciation and performance together with the image.
Describe effects as events connected to the action: footsteps as a character enters, rain becoming stronger outside a window or fabric moving as a coat is put on. Background music is generated to match the prompt by default. Specify its mood, style and rhythm when those matter, and state when it should begin or fade relative to the scene.
For a quiet demonstration, request restrained music and emphasize the product’s handling sounds. For an animated scene, describe the action beat that should coincide with the musical rhythm. The generated soundtrack is mono. The documented audio control also allows a silent video when the project needs a separately prepared soundtrack.
The model supports shot changes with consistent visual treatment, reverse shots for conversation and instructions about transition timing. A useful dialogue sequence can establish two speakers in a medium shot, cut to the responding speaker and return to the first speaker’s reaction. State the identity of each person when a shot changes.
The guide covers high, low and eye-level angles; over-the-shoulder and subjective viewpoints; and wide, medium and close framing. Describe a camera move through its starting composition, direction, amplitude and ending composition. For example, a slow dolly-in can end on the speaker’s expression as a line finishes. Connect the movement to the story rather than listing several camera techniques without a purpose.
The documented input modes are text-to-video, first-frame image-to-video and first-and-last-frame image-to-video. A prepared first image establishes the starting composition; a final image can define the intended endpoint. The output specifications list MP4 at 24 fps, 480p, 720p or 1080p, and 4–12-second duration settings. The model can also choose a whole-second length within its supported range. The documented ratios are 21:9, 16:9, 4:3, 1:1, 3:4 and 9:16, with adaptive framing supported.
The manufacturer documents a two-stage Draft workflow: a 480p preview to inspect scene structure, shot choices, motion and prompt intent, followed by a final generation that reuses the creative inputs. This is a way to judge a planned performance before choosing its final resolution. The preview itself is limited to 480p and does not support returning the last frame. The producer’s Draft task ID remains valid for seven days after creation; generate the final video from it within that window.
For image-led work, prepare the source picture for the intended framing: changing the output ratio can crop the image. A repeated seed produces similar rather than guaranteed identical frames, and a fixed-camera instruction is not a perfect lock guarantee. Most importantly, judge a dialogue clip as one audio-visual performance: the correct speaker, audible line, facial reaction and camera emphasis all need to support the same event.
POST /v1/videostext, imagevideo| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits bytedance/seedance-1-5-pro | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits | Default— |
Fieldduration | Typeinteger | RequirementRequired | Values & limits 4, 5, 6, 7, 8, 9, 10, 11, 12 Minimum: 1 Maximum: 600 | Default— |
Fieldresolution | Typestring | RequirementOptional | Values & limits 480p, 720p, 1080p | Default— |
Fieldaspect_ratio | Typestring | RequirementOptional | Values & limits 1:1, 3:4, 9:16, 9:21, 4:3, 16:9, 21:9 | Default— |
Fieldgenerate_audio | Typeboolean | RequirementOptional | Values & limits false, true Conditions: Omitting this option selects the audio-enabled price. Set it to false to select the no-audio price. Check has_audio in the result to see whether an audio track was returned. | Default— |
Fieldframe_images | Typearray | RequirementOptional | Values & limits Minimum items: 1 Maximum items: 2 Input content: Array of frame objects. Each object has type=image_url, image_url containing url, and frame_type. Use an HTTPS image URL and set frame_type to first_frame or last_frame. Each frame role appears at most once. Exact keys: type, image_url, frame_type Conditions: These keys describe each frame object; image_url contains only url. Omit frame_images for a text-only request. | Default— |
Fieldinput_references | Typearray | RequirementOptional | Values & limits | Default— |
Fieldsize | Typestring | RequirementOptional | Values & limits 480x480, 480x640, 480x854, 480x1120, 640x480, 720x720, 720x960, 720x1280, 720x1680, 854x480, 960x720, 1080x1080, 1080x1440, 1080x1920, 1080x2520, 1120x480, 1280x720, 1440x1080, 1680x720, 1920x1080, 2520x1080 Pattern: ^[1-9][0-9]*x[1-9][0-9]*$ | Default— |
Fieldseed | Typeinteger | RequirementOptional | Values & limits Minimum: -9,223,372,036,854,775,808 Maximum: 9,223,372,036,854,775,807 | Default— |
Fieldcallback_url | Typestring | RequirementOptional | Values & limits Pattern: ^https:// | Default— |
Fieldsession_id | Typestring | RequirementOptional | Values & limits | Default— |
Fieldtrace | Typeobject | RequirementOptional | Values & limits | Default— |
Fielduser | Typestring | RequirementOptional | Values & limits | Default— |
Text to video · A written prompt. · Required: model, prompt, duration
Provide prompt as text and duration as whole seconds. Choose a supported resolution and aspect ratio, or an exact listed size.
model: Type: string · bytedance/seedance-1-5-pro
prompt: Type: string · Maximum UTF-8 bytes: 10,000 · Non-whitespace required: Yes
Image to video · A written prompt and a first-frame image. · Required: model, prompt, duration, frame_images
frame_images is an array. Each frame object has type, image_url and frame_type; image_url contains url. Set type to image_url. Use first_frame with an optional last_frame. Each frame role appears at most once. Supply a public HTTPS image URL for each frame. Choose a supported resolution and aspect ratio, or an exact listed size.
Exact keys: type, image_url, frame_type
model: Type: string · bytedance/seedance-1-5-pro
prompt: Type: string · Maximum UTF-8 bytes: 10,000 · Non-whitespace required: Yes
| Parameter | Contract |
|---|---|
Parametercontent_type | Contractapplication/json |
Parameterrequired | Contractmodel, prompt, duration |
Parametermaterial_types | Contracttext, image |
Parameteradditional_properties | Contractfalse |
Parameteroptional_controls | Contractresolution, aspect_ratio, generate_audio, frame_images, input_references, size, seed, callback_url, session_id, trace, user |
Lifecycle: submit_once_poll_original
GET /v1/videos/{public_id}
GET /v1/videos/{public_id}/content
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 unit | Billing conditions | Charge |
|---|---|---|---|---|---|
| ConfigurationBase token rates | Rate scheduleBase rate | Forecast quantity— | Billing unit— | Billing conditions— | 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 |
| ConfigurationVideo-token price | Rate schedule— | Forecast quantity— | Billing unitper 1,000 video tokens | Billing conditionsNo additional condition is declared in this pricing key. | Charge Output · Video-token price · Estimate for comparison only $0.0048 per 1,000 video tokens The video-token rate is the primary price reference. Per-second headline estimates are separate references, not an extra charge. |
| ConfigurationVideo-token price | Rate schedule— | Forecast quantity— | Billing unitper 1,000 video tokens | Billing conditionsaudio: without_audio | Charge Output · Video-token price · Estimate for comparison only $0.0024 per 1,000 video tokens The video-token rate is the primary price reference. Per-second headline estimates are separate references, not an extra charge. |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing unit— | Billing conditions— | Charge Output · Estimated generation cost · Estimate for comparison only $0.05184 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 →
Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Billing conditions | Charge |
|---|---|---|
| ConfigurationVideo-token price | Billing conditionsNo additional condition is declared in this pricing key. | Charge Output · Video-token price $0.0048 per 1,000 video tokens The video-token rate is the primary price reference. Per-second headline estimates are separate references, not an extra charge. |
| ConfigurationVideo-token price | Billing conditionsaudio: without_audio | Charge Output · Video-token price $0.0024 per 1,000 video tokens The video-token rate is the primary price reference. Per-second headline estimates are separate references, not an extra charge. |
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\npython3 - <<'PY_REQUEST'\nfrom pathlib import Path\nPath('request.json').write_text('{"aspect_ratio":"16:9","duration":8,"model":"bytedance/seedance-1-5-pro","prompt":"A serene mountain landscape at sunset","resolution":"720p"}', encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \\\n -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path('result.json').read_text())\nprint(json.dumps(r,ensure_ascii=False,indent=2))\nprint('Keep the complete JSON and response headers; do not resubmit an unknown creation.')\nPY_RESULT\nsigned owned content URLs
GET /v1/videos/{public_id}GET /v1/videos/{public_id}/contentset -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\npython3 - <<'PY_STATUS_URL'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path('result.json').read_text())\nif not isinstance(r.get('id'),str) or not r['id']:raise SystemExit('Keep the original response and headers for reconciliation; no returned ID')\nPath('status-url.txt').write_text('https://api.ailoot.ai/v1/videos/'+quote(r['id'],safe=''))\nPY_STATUS_URL\ncurl --fail-with-body --silent --show-error "$(cat status-url.txt)" \\\n -H "Authorization: Bearer $AILOOT_API_KEY" -D status-headers.txt -o status.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path('status.json').read_text())\nprint(json.dumps(r,ensure_ascii=False,indent=2))\nprint('Keep the complete JSON and response headers; do not resubmit an unknown creation.')\nPY_RESULT\nset -eu\n: "${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())\nif r.get('status')!='completed':raise SystemExit('Keep the original ID and read its status; never recreate an unknown job')\nif not isinstance(r.get('data'),list) or not r['data']:raise SystemExit('Keep the complete original status; no completed outputs supplied')\nurls=[]\nfor i,u in enumerate(r.get('data',[])):\n if not isinstance(u,str):raise SystemExit('Keep the original response; unexpected asset shape')\n urls.append((str(i),u))\nfor label,path in urls:\n u=urljoin('https://api.ailoot.ai',path);z=urlsplit(u)\n if z.scheme!='https' or z.netloc!='api.ailoot.ai' or z.username or z.password:raise SystemExit('Use the actual returned Ailoot owned content URL')\n target=Path('owned-'+label+'.bin')\n subprocess.run(['curl','--fail-with-body','--silent','--show-error',u,'-H','Authorization: Bearer '+os.environ['AILOOT_API_KEY'],'-D',str(target)+'.headers','-o',str(target)],check=True)\nprint('All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.')\nPY_ASSETS\nSave every completed video or returned file; retrieve every actual returned asset URL.
Keep every actual owned output and its returned measured metadata.
503 result_pending_check + originalid + X-Should-Retry:false; never replay original
| Field | Type | Meaning |
|---|---|---|
Fieldindex | Typeinteger | MeaningZero-based position of this video in the outputs list. |
Fieldcontent_url | Typestring | MeaningSigned HTTPS download URL for this completed video. |
Fieldsha256 | Typestring | null | MeaningSHA-256 digest of the original video bytes; null if unavailable. |
Fieldsize_bytes | Typeinteger | null | MeaningSize of the original video file in bytes; null if unavailable. |
Fieldduration_ms | Typeinteger | null | MeaningMeasured video duration in milliseconds; null if unavailable. |
Fieldwidth | Typeinteger | null | MeaningVideo width in pixels; null if unavailable. |
Fieldheight | Typeinteger | null | MeaningVideo height in pixels; null if unavailable. |
Fieldvideo_codec | Typestring | null | MeaningVideo codec identifier; null if not recorded. |
Fieldhas_audio | Typeboolean | null | MeaningWhether the video contains an audio track; null if not measured. |
Fieldaudio_codec | Typestring | null | MeaningAudio codec identifier; null when no identifier is recorded. |
| Response | Condition | Next step |
|---|---|---|
Response404 · not_found_error | ConditionVideo access is unavailable, or this video ID was not found. | Next stepCheck video access. For an existing video, use its original public ID and the same API key. |
Response401 · authentication_error | ConditionThe API key does not match the authenticated account. | Next stepCheck your API key and account access before submitting. |
Response400 · invalid_request_error | ConditionThe request could not be read, or the download index is invalid. | Next stepCorrect the request body. For a download, choose an output index returned by the original task. |
Response422 · price_unavailable | ConditionThe selected video configuration cannot be priced. | Next stepChoose a supported video configuration and complete its required options before submitting a corrected request. |
Response422 · invalid_request_error | ConditionA video input or original continuation task is invalid. | Next stepUse valid HTTPS inputs. For continuation, use your completed original public video ID with the same API key. |
Response402 · billing_error | ConditionThe available balance or limits do not allow a reservation. | Next stepCheck your available balance and limits before sending a new request. |
Response503 · server_error | ConditionVideo verification, storage or service access is temporarily unavailable. | Next stepWait for service availability. If you already have a video ID, check that original task instead of creating another generation. |
Response503 · result_pending_check | ConditionThe original video result and charge need checking. | Next stepKeep the returned video ID and check that task. Do not send a replacement generation request while it is being checked. |
Response503 · owned_result_unavailable | ConditionThe existing video download is temporarily unavailable. | Next stepCheck the same video task later and download its existing output. A new generation creates a separate operation. |
Response409 · video_not_ready | ConditionThe video content has not been published. | Next stepCheck the original task status. Download after it reports completed; if it reports failed, follow its charge-check notice. |
Ailoot Ultra bytedance/seedance-1-5-pro
Use the method paths shown above.