hailuo-02/image-to-video
Produces crisp 1080p AI videos with smart motion logic and speed
Kling V3.0 4K Image-to-Video is Kuaishou's premium AI image animation model that turns a single reference image into a native 4K (3840×2160) cinematic video of 3–15 seconds, with optional start-to-end frame guidance and synchronized sound. Outputs are master-quality and need no upscaling — ready for editorial, color grading, or direct delivery.
| Attribute | Value |
|---|---|
| Native resolution | 3840×2160 (4K UHD) |
| Duration | 3–15 seconds |
| Aspect ratios | 16:9, 9:16, 1:1 |
| Audio | Optional synchronized sound |
| Frame guidance | Start image required, end image optional |
| Pricing | $0.42 per second (audio on or off) |
| Input formats | jpg, jpeg, png, bmp, webp |
Kling V3.0 4K Image-to-Video uses a single flat per-second rate regardless of whether audio is on or off:
| Billing Unit | Audio | Rate |
|---|---|---|
| Per generated second | Disabled | $0.42 per second |
| Per generated second | Enabled | $0.42 per second |
A 5-second clip costs $2.10. A 15-second clip costs $6.30. Enabling audio adds no surcharge.
Produces crisp 1080p AI videos with smart motion logic and speed
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Enhanced 1080p image motion conversion for expressive, fluid video creation
Kling V3.0 4K Image-to-Video renders directly at 3840×2160 in a single pass — no upscaling — while the Standard variant tops out at 1080p. The 4K tier adds optional start-end frame guidance for controlled two-frame transitions, and shares the same multi-prompt sequencing, element-based identity locking, and synchronized audio as the rest of the V3.0 image-to-video family. Choose 4K when the deliverable must be master-quality and the source image already contains the detail worth preserving.
Kling V3.0 4K Image-to-Video outputs natively at 3840×2160 (UHD 4K) and supports clip durations from 3 to 15 seconds. Because the model renders at full 4K resolution, expect noticeably longer generation latency than the 1080p Standard variant for the same duration.
Provide a start image via start_image_url and an optional ending image via end_image_url. The model will generate motion that smoothly transitions between the two frames, which is ideal for cinematic morphs, scene changes, before/after reveals, and shot-to-shot continuity. If end_image_url is omitted, motion is driven only by the start image and your prompt.
Yes. In addition to the start and optional end images, you can attach up to three element entries to lock identity, costume, or branding across the clip. Each element supports a frontal reference image, additional reference image URLs, and an optional short reference video for motion guidance. Going beyond the supported reference count can lead to prompt truncation or inconsistent motion.
Kling V3.0 4K Image-to-Video accepts standard image files (JPG, JPEG, PNG, BMP, WEBP) for both the start and end frames, plus optional text prompts, multi-prompt segments, and reference assets. For best 4K output, use high-resolution source images that match the target aspect ratio of your clip.
Yes. Set generate_audio to true and the model will synthesize ambient sound, dialogue, or effects directly during 4K image-to-video generation, aligned to the produced motion. Pricing is unchanged whether audio is enabled or not.
Kling V3.0 4K Image-to-Video is billed at a flat $0.42 per second whether or not audio is enabled, which makes budgeting predictable for 4K projects. By comparison, the Standard Image-to-Video tier is billed at $0.084 per second without audio and $0.126 per second with audio. The 4K rate reflects the higher per-frame compute required to render natively at 3840×2160.
After validating prompt and parameter behavior in the RunComfy Playground, generate an API key from your RunComfy Dashboard. The API mirrors all playground settings — including start/end image URLs, multi-prompt segments, element references, audio toggle, negative prompt, and CFG scale — and operates via authenticated REST endpoints. Allocate production usd credits and handle asynchronous video retrieval through RunComfy’s job queue.
Kling V3.0 4K Image-to-Video uses reference-image anchoring through the elements array — frontal images, additional reference images, and optional motion videos — combined with the start image (and optional end image) to keep identity, lighting, and color stable across frames. At native 4K, this consistency is especially important because flicker or drift becomes more visible at higher resolutions.
Yes. Kling V3.0 4K Image-to-Video outputs can be used commercially provided your usage complies with Kuaishou Technology’s license terms and RunComfy’s service agreement. For professional pipelines, the model integrates with RunComfy’s API for automated 4K image-to-video workflows, batch rendering, and direct delivery into editorial, color, and finishing tools.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.
