Lightx2v AI Video Generation

LightX2V AI Video Generation

Use the lightx2v CLI to submit LightX2V tasks, poll results, create/run workflows, synthesize speech, and manage cloned voices.

Start Here

1. Authenticate: use LIGHTX2V_API_KEY, LIGHTX2V_CLOUD_API_KEY, or lightx2v login.
2. Set backend if needed: LIGHTX2V_BASE_URL=https://x2v.light-ai.top or a local server such as http://127.0.0.1:8081.
3. Discover live models before guessing names: lightx2v models --json.
4. Prefer direct lightx2v run for one model task. Use lightx2v workflow ... for multi-node graphs, saved user workflows, or generated TTS -> digital-human pipelines.
5. Before creating or editing workflow JSON, read references/workflow-nodes.md for node ids, ports, data fields, and graph patterns.
6. Before discovering inputs, running, monitoring, or cancelling a saved workflow, read references/workflow-api.md.
7. Before using TTS or voice clone, read references/voice-tts.md for voice discovery, parameters, clone commands, and workflow tts nodes.
8. Never print API keys, bearer tokens, or long signed media URLs in shared output.

Install:

curl -fsSL https://raw.githubusercontent.com/ModelTC/lightx2v-studio-cli/main/install.sh | sh

Command Map

Direct Generation Tasks

Use exact task/model_cls values from lightx2v models --json.

lightx2v run t2i/Qwen-Image-2512 \
  --prompt "watercolor portrait of a curious astronaut, soft morning light" \
  --aspect-ratio 16:9 \
  -o portrait.png

lightx2v run i2v/Wan2.2_I2V_A14B_distilled \
  --prompt "The subject slowly turns toward camera and smiles" \
  --image ./start.png \
  -o motion.mp4

lightx2v run s2v/SekoTalk-V3 \
  --prompt "Natural talking-head delivery, relaxed expression" \
  --image ./portrait.png \
  --audio ./speech.wav \
  -o avatar.mp4

lightx2v run t2av/MiniMax-H3 \
  --prompt "A 15-second vertical product film with synchronized sound" \
  --aspect-ratio 9:16 \
  --resolution-level 768p \
  --duration 15 \
  -o product.mp4

Common task meanings:

Important run flags: --prompt, --input JSON|@file.json, --image, --video, --audio, --shape H,W, --resolution-level, --aspect-ratio, --duration, --quote, --json, --no-download, -o.

For MiniMax-H3, use --resolution-level 544p|768p to select the output tier. If the user requests 768P, include --resolution-level 768p on every submitted task. Do not substitute --shape 1344,768 for the tier: an omitted resolution_level uses the platform default (544p). Do not claim that MiniMax-H3 is limited to 544P or add a VSR step unless the user explicitly requests upscaling.

When writing a batch script against POST /api/v1/task/submit, use the same canonical fields as the CLI. A MiniMax-H3 768P request looks like this:

{
  "task": "t2av",
  "model_cls": "MiniMax-H3",
  "prompt": "A 15-second vertical product film with synchronized sound",
  "aspect_ratio": "9:16",
  "resolution_level": "768p",
  "video_duration_seconds": 15
}

Reuse the exact same model, aspect ratio, resolution tier, duration, and media fields for quote and submit. The server derives the compatible pixel canvas (for example, 9:16 768P becomes [1344, 768] in custom_shape). Do not infer a downgrade from that internal size, and do not omit resolution_level after quoting it.

Workflow Basics

For workflow creation/editing details, read references/workflow-nodes.md. For the saved-workflow runtime contract and the complete discover -> run -> monitor -> outputs SOP, read references/workflow-api.md.

A workflow is a graph of nodes and connections. Input nodes are special:

• text-input emits out-text.
• image-input emits out-image.
• audio-input emits out-audio.
• video-input emits out-video.

Discover required inputs with workflow inputs for the same run scope, then pass run-time values with workflow run --inputs, keyed by input node id. Do not patch an Input node's stored data.value just to run once. Use --save-as-default only when changing workflow defaults.

Text and URL inputs:

{
  "script_input": "大家好，我是 LightX2V 生成的数字人。",
  "image_input": "https://example.com/portrait.png"
}

Local media files:

lightx2v workflow run WORKFLOW_ID \
  --inputs '{"script_input":"大家好，我是 LightX2V 生成的数字人。"}' \
  --input-file portrait_input=./portrait.png \
  --poll

--input-file NODE_ID=PATH is repeatable. The CLI converts local image/audio/video files to data:<mime>;base64,.... Values already accepted in --inputs include HTTP(S) URLs, studio:..., task:.../output/..., and data URLs.

Create A Digital-Human Workflow

Use this pattern for "make a digital human from portrait + script": text-input -> tts -> avatar-gen, plus image-input -> avatar-gen. Full node JSON and port rules are in references/workflow-nodes.md.

Create and run:

lightx2v workflow create --input @workflow.json --json

lightx2v workflow run WORKFLOW_ID \
  --inputs '{"script_input":"大家好，我是 LightX2V 生成的数字人。祝你今天开心！"}' \
  --input-file portrait_input=./portrait.png \
  --poll \
  --json

lightx2v workflow outputs WORKFLOW_ID RUN_ID --json

If polling times out but status is still running, keep the run_id and continue with workflow status.

TTS And Voice Clone

For full TTS/voice-clone parameters, workflow tts node shape, and troubleshooting, read references/voice-tts.md.

List voices first; use voice_type and resource_id from the same row together.

lightx2v voices --limit 10

lightx2v tts \
  --text "你好，欢迎使用 LightX2V。" \
  --voice-type zh_female_vv_uranus_bigtts \
  --resource-id seed-tts-2.0 \
  -o speech.mp3

Clone and use a voice:

lightx2v voice-clone create ./voice_sample.wav --save-name "My voice"
lightx2v voice-clone tts --speaker-id SPEAKER_ID --text "你好。" -o cloned.wav

Key Constraints

• API channel credits may differ from web UI; use --quote for expensive jobs.
• Prompt max length is usually around 5000 characters.
• Max image upload is usually around 20MB.
• Large media is better as URL input than huge base64 JSON.
• For i2v and s2v, assume one primary image unless live model metadata says otherwise.
• Multi-person lip-sync in one image is not a simple API submit; use the web Free Mode workflow if role-track pairing is required.
• For i2av multi-keyframe, use one wrapper: {"input_image":{"type":"base64"|"url","data":[...]}} plus image_keyframe_times and image_strength. Do not send an array of mixed media wrapper objects unless the live API explicitly supports it.

Troubleshooting

• 401: API key missing, expired, or route not allowed. Re-run lightx2v login or check LIGHTX2V_API_KEY.
• Local 127.0.0.1 request goes through a proxy: set NO_PROXY=127.0.0.1,localhost no_proxy=127.0.0.1,localhost.
• Public/community workflow cannot be run with the account API key: copy or recreate it in the authenticated account first.
• Workflow run returns before final output: query lightx2v workflow status WORKFLOW_ID RUN_ID --json, then workflow outputs.
• TTS fails with a built-in voice: confirm the voice's paired resource_id from lightx2v voices; see references/voice-tts.md.
• Model name fails: refresh with lightx2v models --json; model display names and model_cls are not interchangeable.