{"id":11,"date":"2026-10-16T01:04:43","date_gmt":"2026-10-16T01:04:43","guid":{"rendered":"https:\/\/omnihuman2.net\/blog\/?p=11"},"modified":"2026-10-16T02:33:55","modified_gmt":"2026-10-16T02:33:55","slug":"what-is-omnihuman-2","status":"publish","type":"post","link":"https:\/\/omnihuman2.net\/blog\/what-is-omnihuman-2","title":{"rendered":"What Is OmniHuman 2.0? Features, Limits and Price"},"content":{"rendered":"

OmniHuman 2.0 turns a still image and an audio track into a moving performance; an optional text prompt steers motion and camera behavior. BytePlus describes native 720p output, plus separate film-grade and lip-sync-focused avatar prices. It’s a video-generation service, not a one-click replacement for recording a reliable human presenter.<\/p>\n

The input is a photograph, not a filmed actor<\/h2>\n

The basic idea is easy to picture: take one portrait, supply a voice recording, and ask for a video in which the subject performs to that sound. BytePlus calls the inputs a single image and multimodal prompts (audio and text). The text part gives you a way to ask for action instead of leaving every movement to the model.<\/p>\n

The photograph anchors the look. Audio drives timing. No footage needed. The prompt can specify an action, such as a small hand gesture during a line or a slow camera move. BytePlus explicitly advertises gesture control and camera movement; it does not promise that every instruction will be followed exactly. Think stage direction, not locked keyframes. A prompt won’t replace the edit.<\/p>\n

For a first attempt, I’d choose a clear chest-up image with the subject facing roughly forward and a single, clean spoken passage. That’s an editorial starting point, not a published input requirement. A cluttered group portrait gives you more decisions to make before you’ve even heard the finished voice track. If you’re choosing a source photo, the separate reference-image guide<\/a> goes into framing choices.<\/p>\n

What the two published tiers emphasize<\/h2>\n

The BytePlus product page describes a film-grade option that emphasizes camera and body movement. It also lists multi-person scenes and video output from 30 to 300 seconds. It also lists an avatar option focused on lip sync and expression from one image plus an audio file. The page’s headline says output is native 720p. Those are claims about the product’s offered features, not a guarantee that a particular photograph will produce a convincing close-up.<\/p>\n

There is a useful distinction here. A straight-to-camera explainer puts the mouth under scrutiny; an expressive shot with a pullback asks for movement across more of the frame. Pick the tier around the shot you need to deliver, not a vague promise of \u201cbetter AI.\u201d BytePlus labels the avatar tier \u201cSOTA Lip Sync,\u201d while the film-grade tier specifically highlights camera and body motion. Read those labels closely. They matter more than a glossy demo when you have a specific shot to deliver.<\/p>\n

The subject doesn’t have to be a conventional human headshot. BytePlus lists animals such as cats and dogs, and its use-case section includes cartoon and anime characters alongside pixel-style visuals. That makes it interesting for a pet bit or a stylized narrator. It says nothing about how well your particular drawing’s mouth will read. Watch the actual clip before booking a whole series.<\/p>\n

How the workflow fits a real edit<\/h2>\n
    \n
  1. Decide what the shot has to do.<\/strong> Write down the deliverable before touching the image: a speaking avatar, a wider performance, or a music-driven beat. Choose the product tier with that goal in mind; BytePlus publishes the two tier descriptions on the same page.<\/li>\n
  2. Prepare the picture and audio.<\/strong> Use an image you have permission to animate and audio you have permission to use. Keep the first script short enough to inspect every line for timing and pronunciation. Don’t assume a file-format or upload-size limit from a reseller’s guide: consult the current BytePlus OmniHuman documentation before submitting files.<\/li>\n
  3. Write one motion request.<\/strong> State the shot, the action, and the camera move in ordinary language. For example: \u201cChest-up speaker, one small nod after the first sentence, camera stays steady.\u201d This is a suggested direction, not a claimed tested prompt. The camera and gesture prompt examples<\/a> offer more patterns without pretending they’re deterministic controls.<\/li>\n
  4. Generate, then inspect the cut.<\/strong> Watch the mouth at the start and end of phrases, look at identity consistency around turns, and check where a gesture lands. If the first clip misses the intent, change one thing at a time: either the picture, the audio, or the motion instruction. Otherwise you won’t know which change helped.<\/li>\n<\/ol>\n

    The independent site overview<\/a> is useful for orienting yourself; the official product page and linked API documentation are where you should confirm current access and input rules. Screens change. API fields do too. Don’t build a production checklist around a menu label copied from an old tutorial.<\/p>\n

    The per-second bill, in plain numbers<\/h2>\n

    BytePlus currently lists film-grade at $0.07 per second and avatar at $0.12 per second<\/a>. For a 90-second film-grade piece, 90 s \u00d7 $0.07\/s = $6.30. A 90-second avatar clip at the published avatar rate is 90 s \u00d7 $0.12\/s = $10.80. That’s generation-price arithmetic, not a quote for an entire finished campaign with editing or repeated takes.<\/p>\n

    BytePlus specifies 30 to 300 seconds on the film-grade listing. At its published 30-second lower bound, 30 s \u00d7 $0.07\/s = $2.10 for a film-grade generation at the stated rate. I wouldn’t plan a tiny paid social cut around a five-second film-grade request when that listing starts at 30 seconds. Make the longer shot and cut it down if the output suits your edit, but budget the generated duration rather than the final trimmed duration. Billing edge cases deserve a separate check. The product page doesn’t spell them all out; read the current terms before committing to a batch.<\/p>\n

    The page also says \u201c40% lower cost\u201d for film-grade, but doesn’t state a comparison baseline beside that claim<\/a>. I wouldn’t put the percentage in a budget spreadsheet. Use the per-second rates and your expected number of attempts instead: three 90-second film-grade generations at the listed rate would be 3 \u00d7 90 s \u00d7 $0.07\/s = $18.90, assuming each is billed at that rate.<\/p>\n

    Boundaries worth checking before a client project<\/h2>\n

    BytePlus’s public product page doesn’t give a supported-language list, an OmniHuman-specific free-trial promise, regional eligibility, or a clear commercial-use grant. Absence from that page isn’t proof that none exists. It means you should ask BytePlus or consult the applicable current terms rather than promising a client multilingual output or licensed advertising rights on the basis of a promotional page.<\/p>\n

    There are two different kinds of risk in this workflow. One is craft: a mouth close-up can draw attention to a single odd syllable. The other is consent: the source image and voice may belong to someone who never agreed to an animated performance. Get permission for both assets, document the intended use, and review the finished clip with the person or rights holder when a real identity is involved. No permission? Use an original fictional character instead.<\/p>\n

    BytePlus positions e-commerce and advertising, plus short video, film, and AI music videos<\/a> as possible uses. That is a menu of examples, not evidence that the same setup works for every shot. For a talking product introduction, I’d start with a single speaker and clear spoken audio. For a music clip, I’d storyboard the visual beat first and keep the motion instruction tied to a particular phrase or musical change. Need exact lip timing? Inspect the video frame by frame at the cut points before you buy another run.<\/p>\n","protected":false},"excerpt":{"rendered":"

    What is OmniHuman 2.0? Learn how image-and-audio video generation works, what BytePlus lists for each tier, and what a 90-second clip costs.<\/p>\n","protected":false},"author":2,"featured_media":13,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[12,11,6],"class_list":["post-11","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guides","tag-byteplus","tag-image-to-video","tag-omnihuman-2"],"markdown":"OmniHuman 2.0 turns a still image and an audio track into a moving performance; an optional text prompt steers motion and camera behavior. BytePlus describes native 720p output, plus separate film-grade and lip-sync-focused avatar prices. It's a video-generation service, not a one-click replacement for recording a reliable human presenter.\n\n## The input is a photograph, not a filmed actor\n\nThe basic idea is easy to picture: take one portrait, supply a voice recording, and ask for a video in which the subject performs to that sound. BytePlus calls the inputs a single image and multimodal prompts (audio and text). The text part gives you a way to ask for action instead of leaving every movement to the model.\n\nThe photograph anchors the look. Audio drives timing. No footage needed. The prompt can specify an action, such as a small hand gesture during a line or a slow camera move. BytePlus explicitly advertises gesture control and camera movement; it does not promise that every instruction will be followed exactly. Think stage direction, not locked keyframes. A prompt won't replace the edit.\n\nFor a first attempt, I'd choose a clear chest-up image with the subject facing roughly forward and a single, clean spoken passage. That's an editorial starting point, not a published input requirement. A cluttered group portrait gives you more decisions to make before you've even heard the finished voice track. If you're choosing a source photo, the separate [reference-image guide](https:\/\/omnihuman2.net\/blog\/omnihuman-2-reference-image-tips) goes into framing choices.\n\n## What the two published tiers emphasize\n\nThe BytePlus product page describes a film-grade option that emphasizes camera and body movement. It also lists multi-person scenes and video output from 30 to 300 seconds. It also lists an avatar option focused on lip sync and expression from one image plus an audio file. The page's headline says output is native 720p. Those are claims about the product's offered features, not a guarantee that a particular photograph will produce a convincing close-up.\n\nThere is a useful distinction here. A straight-to-camera explainer puts the mouth under scrutiny; an expressive shot with a pullback asks for movement across more of the frame. Pick the tier around the shot you need to deliver, not a vague promise of \u201cbetter AI.\u201d BytePlus labels the avatar tier \u201cSOTA Lip Sync,\u201d while the film-grade tier specifically highlights camera and body motion. Read those labels closely. They matter more than a glossy demo when you have a specific shot to deliver.\n\nThe subject doesn't have to be a conventional human headshot. BytePlus lists animals such as cats and dogs, and its use-case section includes cartoon and anime characters alongside pixel-style visuals. That makes it interesting for a pet bit or a stylized narrator. It says nothing about how well your particular drawing's mouth will read. Watch the actual clip before booking a whole series.\n\n## How the workflow fits a real edit\n\n1. **Decide what the shot has to do.** Write down the deliverable before touching the image: a speaking avatar, a wider performance, or a music-driven beat. Choose the product tier with that goal in mind; BytePlus publishes the two tier descriptions on the same page.\n2. **Prepare the picture and audio.** Use an image you have permission to animate and audio you have permission to use. Keep the first script short enough to inspect every line for timing and pronunciation. Don't assume a file-format or upload-size limit from a reseller's guide: consult the current BytePlus OmniHuman documentation before submitting files.\n3. **Write one motion request.** State the shot, the action, and the camera move in ordinary language. For example: \u201cChest-up speaker, one small nod after the first sentence, camera stays steady.\u201d This is a suggested direction, not a claimed tested prompt. The [camera and gesture prompt examples](https:\/\/omnihuman2.net\/blog\/omnihuman-2-camera-gesture-prompts) offer more patterns without pretending they're deterministic controls.\n4. **Generate, then inspect the cut.** Watch the mouth at the start and end of phrases, look at identity consistency around turns, and check where a gesture lands. If the first clip misses the intent, change one thing at a time: either the picture, the audio, or the motion instruction. Otherwise you won't know which change helped.\n\nThe [independent site overview](https:\/\/omnihuman2.net) is useful for orienting yourself; the official product page and linked API documentation are where you should confirm current access and input rules. Screens change. API fields do too. Don't build a production checklist around a menu label copied from an old tutorial.\n\n## The per-second bill, in plain numbers\n\nBytePlus currently lists [film-grade at $0.07 per second and avatar at $0.12 per second](https:\/\/omnihuman2.net\/blog\/omnihuman-2-pricing-video-cost). For a 90-second film-grade piece, 90 s \u00d7 $0.07\/s = $6.30. A 90-second avatar clip at the published avatar rate is 90 s \u00d7 $0.12\/s = $10.80. That's generation-price arithmetic, not a quote for an entire finished campaign with editing or repeated takes.\n\nBytePlus specifies 30 to 300 seconds on the film-grade listing. At its published 30-second lower bound, 30 s \u00d7 $0.07\/s = $2.10 for a film-grade generation at the stated rate. I wouldn't plan a tiny paid social cut around a five-second film-grade request when that listing starts at 30 seconds. Make the longer shot and cut it down if the output suits your edit, but budget the generated duration rather than the final trimmed duration. Billing edge cases deserve a separate check. The product page doesn't spell them all out; read the current terms before committing to a batch.\n\nThe page also says \u201c40% lower cost\u201d for film-grade, but [doesn't state a comparison baseline beside that claim](https:\/\/omnihuman2.net). I wouldn't put the percentage in a budget spreadsheet. Use the per-second rates and your expected number of attempts instead: three 90-second film-grade generations at the listed rate would be 3 \u00d7 90 s \u00d7 $0.07\/s = $18.90, assuming each is billed at that rate.\n\n## Boundaries worth checking before a client project\n\nBytePlus's public product page doesn't give a supported-language list, an OmniHuman-specific free-trial promise, regional eligibility, or a clear commercial-use grant. Absence from that page isn't proof that none exists. It means you should ask BytePlus or consult the applicable current terms rather than promising a client multilingual output or licensed advertising rights on the basis of a promotional page.\n\nThere are two different kinds of risk in this workflow. One is craft: a mouth close-up can draw attention to a single odd syllable. The other is consent: the source image and voice may belong to someone who never agreed to an animated performance. Get permission for both assets, document the intended use, and review the finished clip with the person or rights holder when a real identity is involved. No permission? Use an original fictional character instead.\n\nBytePlus positions [e-commerce and advertising, plus short video, film, and AI music videos](https:\/\/omnihuman2.net) as possible uses. That is a menu of examples, not evidence that the same setup works for every shot. For a talking product introduction, I'd start with a single speaker and clear spoken audio. For a music clip, I'd storyboard the visual beat first and keep the motion instruction tied to a particular phrase or musical change. Need exact lip timing? Inspect the video frame by frame at the cut points before you buy another run.\n","_links":{"self":[{"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/posts\/11","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/comments?post=11"}],"version-history":[{"count":2,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/posts\/11\/revisions"}],"predecessor-version":[{"id":52,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/posts\/11\/revisions\/52"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/media\/13"}],"wp:attachment":[{"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/media?parent=11"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/categories?post=11"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/omnihuman2.net\/blog\/wp-json\/wp\/v2\/tags?post=11"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}