Kling 2.6 generates video and sound together in one pass. A single prompt returns a clip with dialogue, sound effects and room tone already in it. There is a catch worth knowing first. The default settings produce a silent video, because sound arrives only at 1080p and the model starts at 720p with audio off.<\/p>\n
The audio is the part everyone talks about. Control is the more interesting part. Kling 2.6 lets you pick which voice comes out of which character, and drive a character with movement taken from a real video. Most of this guide is about using those two well.<\/p>\n
The model handles a wider range of sound than most descriptions suggest, and it layers them, so one scene can carry a voice, a room and an effect at once.<\/p>\n
The basics are quick to state. Clips run 5 or 10 seconds, at 720p or 1080p, in 16:9, 9:16 or 1:1. Prompts stretch to 2,500 characters, far more room than most people use. Pick 10 seconds for singing or a back-and-forth, since a conversation rarely resolves in five.<\/p>\n
There are two routes in. Text to video builds the whole scene from a description and offers the square format. Image to video animates a still you supply, takes its shape from that image, and accepts a specific voice.<\/p>\n
Sound and resolution are linked, and this trips up nearly everyone. Native audio works at 1080p and nowhere else. Asking for audio at 720p is not a lower-quality version of the feature. It is an invalid combination, and since generation starts at 720p with audio off, both settings need changing before anything makes a sound.<\/p>\n Sound has to be written, not assumed. Five things go in order, and leaving the audio out is the most common reason a clip comes back flat. The model fills that gap with whatever the scene implies, rather than with what you had in mind.<\/p>\n Drop one and it shows. Skip the movement and the frame goes static. Skip the style note and the model picks a look for you.<\/p>\n Swapping a vague word for a precise one changes the output more than adding another sentence does. Most prompts describe speech and ignore everything else, and that is why so many clips sound like a voice recorded in a vacuum.<\/p>\n Space is the group most often skipped, and it sells a shot. A library reads as a library because of the silence and one dropped book. Naming the reverb helps too, since a hall and a small room carry a voice very differently.<\/p>\n Conversations are where prompts fall apart, and the failure mode is always the same. Both lines come out in one voice, or the wrong character speaks, because the model could not tell who was who. Four habits remove that ambiguity.<\/p>\n Keep the cast small. Two speakers is where the model is reliable, and quality drops once a third voice enters. A crowded exchange works better split across two clips than forced into one.<\/p>\n Voices come from three places, and only one needs a recording.<\/p>\n That third option is the interesting one. A recurring host, a brand mascot or a series character stays recognisable across a whole run of videos. A saved voice also performs in English and Chinese without being set up twice. That takes most of the work out of a localised version.<\/p>\n Binding is where mistakes cluster. Attach the voice to a character, never to a voice name standing alone, and never to an object or a sound effect. Put the tag beside the character rather than inside the quoted line, since a tag left trailing at the end attaches to the wrong person. Give each character its own voice, and never bind one to someone who does not speak.<\/p>\n Two limits are worth planning around. Two voices per clip is a hard cap, and 200 saved voices is the ceiling. A voice that contradicts the character will also fight the model, so a tall adult paired with a small child’s voice is really an instruction to resolve a conflict. Singing holds a voice less reliably than speech.<\/p>\n Motion control gets the least attention and solves the hardest problem. Supply a picture of a character and a video of someone moving, and the model transfers that movement onto the character. Choreography, gesture and timing come from real footage instead of a written description, and that is the part text prompting struggles with most.<\/p>\n The source video decides the result, so it needs to meet a few conditions.<\/p>\n Realistic and stylised characters both work, including humanoid animals and figures with roughly human proportions. One setting controls the ceiling: orienting the character to the reference video allows a source up to 30 seconds, while orienting to the still image caps it at 10. That 30 second route is the longest output Kling 2.6 produces. Motion control keeps the source video’s original sound rather than generating new audio, so treat it as a separate tool.<\/p>\n Sound does not always need a video attached. Kling can produce audio by itself, either from a written description or by generating effects to match a video you upload. That earns its place when the video already exists. Phone footage, an older clip with unusable audio, or an animation needing a foley pass can all take generated sound without regenerating the footage, and it sidesteps the 1080p rule entirely.<\/p>\n Results also improve when a prompt does one thing well. Pick a single core idea, use a reference image that matches the description instead of contradicting it, and choose settings deliberately. Stacking three ambient layers and a two-hander into five seconds is the most reliable way to get a muddle back.<\/p>\n\n\n
\n \nWhat you want<\/th>\n Settings<\/th>\n Worth knowing<\/th>\n<\/tr>\n<\/thead>\n \n Video with sound<\/td>\n Audio on, 1080p<\/td>\n 720p is silent, and both defaults have to be changed<\/td>\n<\/tr>\n \n A specific voice<\/td>\n Image to video, audio on, 1080p<\/td>\n Two voices maximum per clip. Audio cannot be off<\/td>\n<\/tr>\n \n A start and end frame<\/td>\n Image to video, 1080p<\/td>\n Produces a silent clip. Sound is not available here<\/td>\n<\/tr>\n \n Movement from a real clip<\/td>\n Motion control<\/td>\n Keeps the source clip’s real sound. Reaches 30 seconds<\/td>\n<\/tr>\n \n Dialogue or singing<\/td>\n 10 seconds<\/td>\n Five seconds rarely completes an exchange<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n What you can make with Kling 2.6<\/span><\/h2>\n
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The prompt formula that works<\/span><\/h2>\n
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A vocabulary for directing sound<\/span><\/h2>\n
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Writing dialogue between characters<\/span><\/h2>\n
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\n \nHabit<\/th>\n Do this<\/th>\n Not this<\/th>\n<\/tr>\n<\/thead>\n \n Naming<\/td>\n The same unique label every time<\/td>\n Switching to he, she, or a synonym<\/td>\n<\/tr>\n \n Anchoring<\/td>\n Action first, then the line<\/td>\n A line with no action attached to it<\/td>\n<\/tr>\n \n Voice<\/td>\n A distinct tone and emotion per character<\/td>\n A man says, a woman replies<\/td>\n<\/tr>\n \n Order<\/td>\n Linking words, plus a note that the speaker changes<\/td>\n Two quoted lines stacked with nothing between<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n Choosing a voice for a character<\/span><\/h2>\n
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Kling motion control, explained<\/span><\/h2>\n
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Generating sound on its own<\/span><\/h2>\n
Limits worth knowing before you start<\/span><\/h2>\n
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How to use Kling 2.6 in Picsart<\/span><\/h2>\n