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Finally Kling 3.0! THE AI model that understands framing, pacing, and transitions in one clean generation, reading your prompt like a real screenplay and building proper scene coverage automatically. Everyone a Director. It’s Time.

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Chidanand Tripathi

101,216 subscribers

79,561 Aufrufe • vor 5 Monaten •via X (Twitter)

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As an AI consultant who tests models daily, I find Kling 3.0 to be the first model that truly and precisely understands multi‑person dialogue. Its native audio can clearly and unambiguously reference specific characters in complex scenes, eliminating any confusion between characters and voices, making narrative logic reliable for the first time.

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> he turned himself into Tom Holland's Spider-Man > and it reads as real because of one prompt line 1. higgsfield → create image (nano banana pro) 2. upload your normal photo 3. the prompt does the work: > "ultra-realistic, no smoothing, no CGI look" > "looks like real behind-the-scenes footage" 4. that image → kling motion control 5. your video left, the face right → generate 6. the character copies your every move > everyone chases the model > the realism lives in the prompt
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> he turned himself into Tom Holland's Spider-Man > and it reads as real because of one prompt line 1. higgsfield → create image (nano banana pro) 2. upload your normal photo 3. the prompt does the work: > "ultra-realistic, no smoothing, no CGI look" > "looks like real behind-the-scenes footage" 4. that image → kling motion control 5. your video left, the face right → generate 6. the character copies your every move > everyone chases the model > the realism lives in the prompt

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Everyone directing isn’t a dream anymore: it’s happening now. Kling 3.0 just arrived! Up to 15 seconds per generation, with flexible, user-defined duration control. The upgrade now supports more languages (Chinese, English, Japanese, Korean, Spanish) and the rendition of authentic dialects and accents, and even dialogues in different languages in the same scene. Whether it’s a bilingual conversation for work, or daily-life scene with multiple dialects, the lip movements and facial expressions are natural and coherent.

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154,466 Aufrufe • vor 5 Monaten

kling 3.0 is crazy... this model works very different than any other model this is from giving it just 2 images and a multi prompt then it handled all the scenes by itself... now imagine what it could do if you gave it more references and an even more detailed multi prompt going to test this a lot more but kling definetly cooked on this one
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kling 3.0 is crazy... this model works very different than any other model this is from giving it just 2 images and a multi prompt then it handled all the scenes by itself... now imagine what it could do if you gave it more references and an even more detailed multi prompt going to test this a lot more but kling definetly cooked on this one

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currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan
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currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

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