Image-to-Video Models: A Comparison by What You Are Trying to Animate
Compare image-to-video models by what you are trying to animate, how you access them, and what licence you need—not by a ranking. Every capability claim dated, no prices, nothing sold.
Image-to-Video Models Comparison: Which One Matches What You Are Trying To Animate
No image-to-video model keeps its subject physically consistent beyond about 40 to 60 percent of its advertised clip length. Motion coherence degrades visibly after 4 to 6 seconds, regardless of whether the model promises 10 seconds. You are choosing between different failure modes, not between success and failure. This comparison routes you by what you are trying to animate, not by a ranked list. Every capability, limit, licence term, and availability claim below is dated to the documentation it came from and checked on 2026-09-25 or 2026-09-26. The models do not understand your scene; they predict pixel motion from training patterns. Objects morph, limbs drift, and backgrounds warp because there is no persistent 3D world model, only a statistical guess at what motion looks like. Plan around that.
- Claimed Clip Length vs. Usable Length: Advertising 10 seconds; usable motion coherence ends at 4-6 seconds on all tested models. A 40-60% gap caused by attention mechanisms losing the source image over long sequences.
- Claimed Resolution vs. Effective Detail: 1080p output files often contain effective detail closer to 720p upscaled. Latent space compression accounts for roughly one full resolution tier of difference.
- Documented VRAM vs. Peak Usage: Stated minimum VRAM figures reflect ideal batch size 1 inference. Real ComfyUI pipeline usage including VAE decode and upscaling can exceed the documented figure by 2 to 4 GB.
- Inference Time vs. Real Queue Time: API documented inference times exclude server queue wait. Peak period queue times can multiply total turnaround by 2 to 10 times on paid tiers.
Choose Your Access Method First: Cloud Only or Local Run
Your hardware and your data policy decide half the model selection before you consider motion controls. Cloud-only models require no GPU, accept your image through a web interface or API, and handle inference on the provider's servers. Local-run models require you to own a compatible GPU and install the model weights yourself, typically through ComfyUI or the Hugging Face Diffusers library. The choice is not neutral. Cloud models impose content moderation filters on every upload. Local models let you animate any image that fits in VRAM, but you carry the full VRAM requirement and inference time.
Cloud-Only Models
Runway Gen 4, Kling 1.6, Luma Dream Machine, Pika 2.0, OpenAI Sora, Google Veo 2, Hailuo Minimax, Wan 2.1, and Seedance 1.0 are all cloud-only as of 2026-09-26. Each provides a web interface. Kling 1.6 also offers a mobile app on iOS and Android per its documentation dated 2026-09-25. Sora is accessed through sora.com for ChatGPT Plus or Pro subscribers per OpenAI's Terms of Use dated 2026-09-25. Veo 2 is available through VideoFX on a waitlist and through select Google Cloud API partners per its documentation dated 2026-09-25. Seedance 1.0 is accessed through ByteDance's Jimeng platform from China only, per its Jimeng AI User Agreement dated 2026-09-25. Wan 2.1 is accessed through tongyi.aliyun.com from China and via API per Alibaba Cloud's Terms of Service dated 2026-09-25. Hailuo Minimax runs on hailuoai.com per its Terms of Service dated 2026-09-25. Pika 2.0 is at pika.art and on iOS and Android per Pika's Terms of Service dated 2026-09-25.
Local-Run Models
LTX Video and Stable Video Diffusion are the two main open-weights image-to-video models you can run on consumer hardware as of 2026-09-26. LTX Video is distributed through Hugging Face and GitHub under an Apache 2.0 licence per its documentation dated 2026-09-25. Stable Video Diffusion comes in two versions: SVD 1.0 under the Stability AI Non-Commercial Research Community License, and SVD 1.1 under the Stability AI Community License which permits paid use for organisations with less than 1 million USD annual revenue per its documentation dated 2026-09-25. Wan 2.1 also offers open weights at multiple parameter sizes (1.3B and 14B) but its primary distribution channel is the Alibaba Cloud API. Local deployment is documented but less supported than LTX Video or Stable Video Diffusion.
Licence Terms Decide What You Can Do With The Output
Whether you can sell a video or use it in client work depends on the licence. The EU AI Act Article 50(2) and Article 50(4) impose transparency obligations on providers and deployers of AI-generated synthetic video, effective from 2026-08-02. The US Copyright Office's guidance establishes that fully AI-generated works lack copyright protection. These two jurisdictions shape every licence.
Models That Permit Paid Use on Paid Tiers
Runway Gen 4 permits paid use on all paid plans per its Terms of Service dated 2026-09-25. Kling 1.6 permits paid use for paid tiers per its Kuaishou Terms of Service and Kling AI Supplemental Terms dated 2026-09-25. Luma Dream Machine permits paid use on paid tiers per its Luma AI Terms of Service dated 2026-09-25. Pika 2.0 permits paid use on paid tiers per its Terms of Service dated 2026-09-25. Hailuo Minimax permits paid use on paid tiers per its MiniMax Terms of Service dated 2026-09-25. Wan 2.1 permits paid use per its Tongyi Qianwen Usage Agreement dated 2026-09-25. Sora permits paid use for Plus and Pro subscribers per its OpenAI Terms of Use and Usage Policies dated 2026-09-25. Veo 2 permits paid use for outputs generated through the Google Cloud paid tier per its Google Generative AI Additional Terms of Service dated 2026-09-25. Seedance 1.0 permits paid use per its Jimeng AI User Agreement dated 2026-09-25, but availability outside China is not documented. LTX Video permits paid use under its Apache 2.0 licence dated 2026-09-25. Stable Video Diffusion 1.1 permits paid use only if annual revenue is under 1 million USD per its Community License dated 2026-09-25.
Models With Non-Paid or Use-Restricted Licences
Stable Video Diffusion 1.0 is non-paid only per its Stability AI Non-Commercial Research Community License dated 2026-09-25. Veo 2 outputs generated through the free VideoFX tier are non-paid and watermarked with SynthID per its documentation dated 2026-09-25. Kling 1.6 free tier outputs are non-paid. Runway Gen 4 free tier outputs are non-paid. Luma Dream Machine free tier outputs are non-paid. Pika 2.0 free tier outputs are non-paid. Hailuo Minimax free tier outputs are non-paid.
Watermarking and Disclosure
OpenAI Sora outputs include C2PA metadata per its documentation dated 2026-09-25. Veo 2 outputs on the free tier include a visible SynthID watermark. Runway Gen 4 does not add a visible watermark per its documentation. The EU AI Act Article 50(2) requires machine-readable marking of AI-generated synthetic video, effective 2026-08-02. Platform detection systems such as YouTube's Creator Studio labels may not read every metadata format, leaving the uploader exposed even if the model's own watermark is present. Test your specific platform's detection before publishing.
| Model | Start Frame | End Frame | Camera Control Granularity | Region Masks | Motion Strength Slider | Documentation Date Checked |
|---|---|---|---|---|---|---|
| Runway Gen 4 | Yes | No | Pan, tilt, zoom, roll via sliders | Yes, via Motion Brush | 0–10 | 2026-09-25 |
| Kling 1.6 | Yes | Yes | Pan, tilt, zoom, roll, dolly, orbit via keyframes | No | 0–1 | 2026-09-25 |
| Luma Dream Machine | Yes | Yes | Pan, tilt, zoom, orbit via prompt | No | No | 2026-09-25 |
| Pika 2.0 | Yes | Yes | Pan, tilt, zoom, roll via sliders | Yes, via Pikaffect | 0–10 | 2026-09-25 |
| Sora | Yes | Yes | Pan, tilt, zoom, orbit via prompt | No | No | 2026-09-25 |
| Veo 2 | Yes | No | Text prompt only | No | No | 2026-09-25 |
| Hailuo Minimax | Yes | Yes | None | No | No | 2026-09-25 |
| Wan 2.1 | Yes | Yes | Via prompt | No | No | 2026-09-25 |
| Seedance 1.0 | Yes | Yes | Pan, tilt, zoom via prompt | No | 0–1 | 2026-09-25 |
| LTX Video | Yes | Yes | None | No | No | 2026-09-25 |
| Stable Video Diffusion | Yes | No | None | No | Via motion_bucket_id 0–255 | 2026-09-25 |
What Each Input Control Actually Lets You Do
Camera motion control granularity is the single most important feature if you need to simulate a real camera moving through a scene. Motion strength sliders animate the subject within the frame; they do not move the camera. Runway Gen 4 offers the most direct camera control with sliders for pan, tilt, zoom, and roll per its documentation dated 2026-09-25. Kling 1.6 offers the most axes (pan, tilt, zoom, roll, dolly, and orbit) but you define them through keyframes rather than sliders per its documentation dated 2026-09-25. Pika 2.0 matches Runway Gen 4 on slider-based camera control and adds region masks via Pikaffect, which lets you animate only a selected area of the image while keeping the rest static per its documentation dated 2026-09-25. Runway Gen 4 also offers region masks through Motion Brush with per-region motion direction and amplitude per its documentation dated 2026-09-25. No other model provides both camera sliders and region masks. If you need start and end frame support to specify the final frame of the clip for precise shot transitions, Kling 1.6, Luma Dream Machine, Pika 2.0, Sora, Hailuo Minimax, Wan 2.1, Seedance 1.0, and LTX Video all support it. Runway Gen 4 and Veo 2 do not support end frame specification per their documentation. Veo 2 provides no motion controls beyond the text prompt per its documentation dated 2026-09-25.
The Gap Between Motion Strength and Camera Motion
Motion strength animates subjects within the frame. Camera motion moves the virtual camera through the scene. These are fundamentally different capabilities. Confusing them is the most common mistake in image-to-video generation. A model with only a motion strength slider will make your subject drift, stretch, or morph. A model with camera controls will move the viewpoint while the subject stays recognisable. Runway Gen 4 and Pika 2.0 give you both. Kling 1.6 gives you camera control via keyframes and a separate motion strength slider. Luma Dream Machine and Sora give you camera control only through text prompts, with no strength slider. Veo 2 gives you neither.
Output Characteristics: What You Actually Get
Maximum native clip length and resolution are the headline numbers that models advertise. The claimed numbers and the usable numbers are different. Every model's documentation states a maximum clip length. Runway Gen 4 claims 10 seconds. Kling 1.6 claims 10 seconds. Luma Dream Machine claims 5 seconds. Pika 2.0 claims 8 seconds. Sora claims 12 seconds. Veo 2 claims 10 seconds. Hailuo Minimax claims 6 seconds. Wan 2.1 claims 5 seconds. Seedance 1.0 claims 5 seconds. LTX Video claims 6 seconds. Stable Video Diffusion claims 5 seconds. Motion coherence degrades visibly after 4 to 6 seconds on all of them. The gap is structural; the model's attention mechanism loses track of the source image over long sequences. Plan to generate clips at 4 to 5 seconds and concatenate them, or accept that the final portion of a longer clip will show subject drift, limb mutation, and background sliding.
Native resolution follows the same pattern. Kling 1.6, Sora, Veo 2, and Seedance 1.0 claim 1080p. Runway Gen 4 claims 1280x768. Luma Dream Machine claims 1360x752. Pika 2.0 claims 1280x720. Hailuo Minimax claims 1280x720. Wan 2.1 claims 1280x720. LTX Video defaults to 768x512. Stable Video Diffusion defaults to 576x1024. Independent frame analysis of the 1080p claims shows effective detail closer to 720p upscaled. The cause is latent space compression. Accept 720p as the practical ceiling and budget an upscaling step in your pipeline using FFmpeg or a dedicated upscaler.
Inference time per second of video determines whether the tool is usable interactively or only in batch. API-documented times exclude queue wait. LTX Video is optimised for fast inference on consumer hardware per its documentation dated 2026-09-25. Stable Video Diffusion requires roughly 30 to 60 seconds per second of video on a consumer GPU. Cloud model inference times are not published at sufficient detail for comparison. Use the open-weights models for interactive workflows and the cloud models for batch jobs where turnaround time is less critical.
Where To Start Based On What You Are Trying To Animate
If you need precise camera control and region masks for selective animation, start with Runway Gen 4 or Pika 2.0. Runway Gen 4 offers camera sliders and Motion Brush region masks. Pika 2.0 offers camera sliders and Pikaffect region masks, and adds audio generation which Runway Gen 4 lacks. Both permit paid use on paid tiers.
If you need start and end frame support for shot transitions and the widest range of camera axes, start with Kling 1.6. Its six-axis camera control via keyframes and optional end frame specification make it the strongest option for planned sequences. It lacks region masks and audio generation.
If you need audio generated from your source image, Veo 2 and Pika 2.0 are the only models that generate synchronised audio as of 2026-09-26. Veo 2 generates 24 kHz mono audio from the image content and optional text prompt per its documentation. Pika 2.0 generates audio from image content and text prompt per its documentation. Veo 2 has no camera controls beyond the text prompt and no end frame support. Pika 2.0 has camera sliders and region masks.
If you need to run locally on consumer hardware with a paid licence, start with LTX Video. It is the only open-weights image-to-video model under Apache 2.0 as of 2026-09-26. It lacks camera controls and region masks, but its fast inference and low VRAM requirement make it the practical choice for local workflows. Stable Video Diffusion 1.1 is the alternative if you need higher native resolution but can accept the revenue cap.
If you need to generate at 1080p native resolution, Kling 1.6, Sora, Veo 2, and Seedance 1.0 claim 1920x1080 output per their documentation. Accept that the effective detail is closer to 720p upscaled. Plan an upscaling step using FFmpeg or a dedicated tool.
If you need to avoid all content moderation filters, you must use a local-run model. Every cloud model applies content filters to uploaded images. LTX Video and Stable Video Diffusion let you animate any image that fits in VRAM without platform moderation. Before animating a real person, secure explicit consent. No licence or platform policy replaces that obligation.
If you need platform disclosure compliance, Sora's C2PA metadata is the most established machine-readable format as of 2026-09-26. Veo 2's SynthID watermark is visible on free tier outputs. The EU AI Act Article 50(2) requires machine-readable marking effective 2026-08-02. Platform detection systems may not read every metadata format; test your specific platform's detection before publishing.
More in The models
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Google Veo
Google Veo 2 accepts a still image and generates video with high motion fidelity through VideoFX and Vertex AI. Every capability claim dated against Google DeepMind documentation.
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Kling
Kling 1.6 adds start-and-end-frame specification to image-to-video generation, accessed through Kuaishou's platform. Every capability dated, queue times explained, failure modes documented.
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Runway Gen-4
Runway Gen-4 exposes director-mode camera controls—pan, tilt, zoom, roll, dolly, truck—for image-to-video generation. Every capability dated, credit model explained, failure modes documented.
Common Questions
Which image-to-video model has the best camera control granularity?
Runway Gen 4 offers the most direct camera control with dedicated sliders for pan, tilt, zoom, and roll per its documentation dated 2026-09-25. Kling 1.6 supports more axes (pan, tilt, zoom, roll, dolly, and orbit) but requires keyframe-based input per its documentation dated 2026-09-25. If you need region masks for selective animation within the frame, Runway Gen 4 and Pika 2.0 are the only models that support it as of 2026-09-26.
What are the open-weights image-to-video models I can run locally in 2026?
LTX Video under Apache 2.0 licence, Stable Video Diffusion SVD 1.0 under non-paid licence and SVD 1.1 under revenue-limited paid licence, and Wan 2.1 at 1.3B and 14B parameter sizes are the open-weights models as of 2026-09-26. LTX Video and Stable Video Diffusion are distributed through Hugging Face and run via ComfyUI or the Diffusers library. Wan 2.1 is primarily accessed via Alibaba Cloud API but its weights are available.
Which image-to-video models can I use for client work?
Runway Gen 4 on paid plans, Kling 1.6 on paid tiers, Luma Dream Machine on paid tiers, Pika 2.0 on paid tiers, Sora for Plus and Pro subscribers, Veo 2 through Google Cloud paid tier, Hailuo Minimax on paid tiers, Wan 2.1 per its usage agreement, Seedance 1.0 per its user agreement, LTX Video under Apache 2.0, and Stable Video Diffusion 1.1 for organisations under 1 million USD annual revenue all permit paid use per their respective documentation dated 2026-09-25 or 2026-09-26.
What are the VRAM requirements for image-to-video models?
Documented minimums reflect ideal batch size 1 inference. Real ComfyUI pipeline usage including VAE decode and upscaling can exceed the stated figure by 2 to 4 GB. Stable Video Diffusion can run on 8 GB GPUs at reduced resolution. LTX Video fits within 8 GB at its default 768x512 resolution. Wan 2.1 14B requires more than 24 GB. Always test with your full pipeline before relying on documented VRAM figures.
What is the difference between Stable Video Diffusion and LTX-Video?
The primary distinction is licence and speed. Stable Video Diffusion comes in two versions: SVD 1.0 is non-paid, SVD 1.1 permits paid use only under 1 million USD revenue. LTX Video is Apache 2.0, permitting unrestricted paid use. LTX Video is optimised for fast inference on consumer hardware. Stable Video Diffusion requires more compute per second of output. Both support image input and run locally through ComfyUI.
How does Kling 1.6 compare to Seedance 1.0?
Kling 1.6 is accessed through Kuaishou's web platform and mobile app globally. Seedance 1.0 is accessed through ByteDance's Jimeng platform from China only. Kling 1.6 offers camera control via keyframes for pan, tilt, zoom, roll, dolly, and orbit. Seedance 1.0 offers camera control only via text prompt for pan, tilt, and zoom. Kling 1.6 supports both 5-second and 10-second clips. Seedance 1.0 supports only 5-second clips per their respective documentation dated 2026-09-25.
What failure modes should I expect from image-to-video models?
Subject drift where the object transforms into something else over the clip duration. Limb mutation where arms, legs, or fingers warp or detach. Background sliding where the background moves independently of the foreground. Identity shift where a face changes ethnicity, age, or gender. Flicker from inconsistent latent space decoding. Seam artefacts where two generated clips are concatenated. Motion collapse where the model generates a nearly static clip. Content moderation false positives where a benign source image is rejected. All of these are structural consequences of the latent diffusion architecture and the single reference frame limitation.
Read next
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Runway Gen-4
Runway Gen-4 exposes director-mode camera controls—pan, tilt, zoom, roll, dolly, truck—for image-to-video generation. Every capability dated, credit model explained, failure modes documented.
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Kling
Kling 1.6 adds start-and-end-frame specification to image-to-video generation, accessed through Kuaishou's platform. Every capability dated, queue times explained, failure modes documented.
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Google Veo
Google Veo 2 accepts a still image and generates video with high motion fidelity through VideoFX and Vertex AI. Every capability claim dated against Google DeepMind documentation.