omnihuman-1.5-subject-detection API
Use omnihuman-1.5-subject-detection from the OmniHuman family via RunAPI. Per-call pricing, no subscription, and failed generations are never charged.
curl -X POST https://runapi.ai/api/v1/omnihuman/subject_detection \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "omnihuman-1.5-subject-detection",
"prompt": "Generate a 720p talking-head video from this portrait and voiceover, using a subject mask to keep the speaker isolated."
}'import { OmnihumanClient } from "@runapi.ai/omnihuman";
const client = new OmnihumanClient();
const result = await client.subjectDetection.run({
model: "omnihuman-1.5-subject-detection",
prompt: "Generate a 720p talking-head video from this portrait and voiceover, using a subject mask to keep the speaker isolated.",
});require "runapi/omnihuman"
client = RunApi::Omnihuman::Client.new
result = client.subject_detection.run(
model: "omnihuman-1.5-subject-detection",
prompt: "Generate a 720p talking-head video from this portrait and voiceover, using a subject mask to keep the speaker isolated."
)npx skills add runapi-ai/omnihuman -g# Claude Code
claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
# Codex
codex plugin install runapi-mcp@agents
# Cursor / Windsurf / VS Code
npx @runapi.ai/mcp init cursoromnihuman-1.5-subject-detection targets the sweet spot of quality and cost within the OmniHuman family. It shares the same API key, request shape, and async task lifecycle as every other RunAPI model — switch to this variant by changing one model ID parameter. Install the OmniHuman skill to load docs, typed schemas, pricing notes, and setup steps into your coding workspace. Billing is metered per completed request in USD with no subscription or minimum spend, and failed generations are never charged.
- Pay-per-call pricing in USD with no subscription
- Failed generations are never charged
- Streaming when supported by the model
- Schema-validated parameters and tool calls
- Switch variant by changing one model ID parameter
- Unified billing across all models and providers
Pricing
Technical details
| Model ID | omnihuman-1.5-subject-detection |
| Provider | Bytedance |
| Modality | utility |
| Task type | asynchronous |
| Billing unit | call |
| API endpoint | /api/v1/omnihuman/subject_detection |
| Commercial license | Yes — included via API |
| Catalog status | Operational |
Model skill — omnihuman-1.5-subject-detection
Install the skill once, then use the variant ID from this page while building.
# Install the model skill for app development workflows
npx skills add runapi-ai/omnihuman -gInstall the OmniHuman skill for this app: 1. Add runapi-ai/omnihuman with the skills installer. 2. Load SKILL.md in this workspace. 3. Use its docs, schemas, pricing notes, and setup steps when adding model features. 4. Confirm the install path when done.
Use omnihuman-1.5-subject-detection with a model skill
Install
Install the model skill for the OmniHuman line. The skill loads docs, typed schemas, pricing notes, and setup steps into your coding workspace so your agent has the right context.
Configure
Set the model field to the full model ID shown on this page and configure your RunAPI API key as an environment variable. The same key works across all models and providers.
Call
Use the skill instructions while adding prompt, input, and callback handling to your application. RunAPI routes the request to the provider, manages the async lifecycle, and returns structured JSON.
Receive
Read the task response by polling the task ID, streaming when supported, or handling the webhook callback at your configured URL. Generated outputs are stored and retrievable by task ID.
What's different about omnihuman-1.5-subject-detection
Helper task that returns subject masks for OmniHuman generation
Audio-driven talking-head video from a portrait and driving audio
Helper task that returns subject masks for OmniHuman generation
Helper task that identifies human regions in a source image
Best for
Photo enhancement
Upscale archival photos to print-quality resolution for brochures and catalogs.
Video restoration
Restore and upscale SD footage to 4K for catalog rereleases.
Background removal
Remove image backgrounds at bulk to normalize product photos from thousands of sellers.
Frequently asked questions about omnihuman-1.5-subject-detection
Is the model ID stable across versions?
Yes. RunAPI keeps the model ID stable and handles compatible version refreshes without changing your request shape. You do not need to update your code when the provider releases a new compatible version.
What's the rate limit on this variant?
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Can I switch variants later?
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Does it stream?
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Where do I report quality issues?
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
Do I need a separate provider account?
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
