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AI Video Generation 2026 Complete Guide — Sora 2 · Veo 3 · Runway Gen-4 · Pika · Luma Dream Machine · Kling · Hailuo · Hunyuan Video Deep Dive

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Prologue — From Sora preview to Sora app, two years compressed

On 2024-02-15, when OpenAI unveiled the Sora preview, the video industry froze. 60 seconds of 1080p from a prompt alone was a shock. But that Sora stayed locked behind a research preview for a year.

Then on 2025-09-30, OpenAI announced Sora 2 and simultaneously launched an iOS-only Sora app. 4K, 25-second clips, native audio, Cameos (registering your own face/voice for the model), a social feed. ChatGPT Pro subscribers got a dedicated allowance. At the same time, Google rolled Veo 2 (2024-12) and Veo 3 (2025-05 I/O) into the Gemini app and Vertex AI, and Runway moved from Gen-3 Alpha to Gen-4 (2025-03), pushing deeper into film workflows.

In parallel, the Chinese side — Kuaishou Kling, MiniMax Hailuo, Tencent Hunyuan Video, Alibaba Wan 2.1 — closed the gap rapidly. And the open-source side — Genmo Mochi 1 (2024-10, Apache 2.0), Lightricks LTX-Video (2024-11, real-time 2B), CogVideoX (Tsinghua) — landed on top of ComfyUI workflows, making cinematic clips possible on a single RTX 4090.

This guide compresses those two years — closed and open, pricing and licensing, plus Korea and Japan — into one arc.


Chapter 1 · Text, image, and video — three input branches

The first question when picking an AI video model is "what does it take as input?" There are three branches.

Most pro workflows mix all three. T2V for the first pass, I2V to lock a character, V2V to unify style, lip-sync tools for mouth alignment. Then Premiere/DaVinci to cut and assemble.


Chapter 2 · OpenAI Sora 2 — 4K, 25 seconds, Cameos, iOS app

On 2025-09-30, OpenAI released two things at once: the model and the app.

Sora 2's real differentiators are two-fold. First, while other models output silent video and have you bolt on sound via ElevenLabs/Suno separately, Sora 2 generates synchronized audio natively. Second, the Cameos feature effectively standardized a "consent model for deepfakes" — only an explicitly registered face is usable, and only when the owner grants sharing rights to a friend.


Chapter 3 · Google Veo 2 · Veo 3 — Two channels via Gemini and Vertex AI

Google's video models consolidated into the Veo line.

Veo 3's strengths are Google infrastructure — native sound powered by DeepMind audio models — and the enterprise channel via Vertex AI. If Sora 2 is social-feed-first, Veo 3 sits closer to the production pipeline.


Chapter 4 · Runway Gen-4 — Penetrating film production workflows

Runway's path was clear from day one: "a film-editing company making an AI video tool."

Gen-4's References is the feature film-makers most wanted. Feed in character sheets, costume references, and environment moodboards, and you can produce multiple shots that hold that consistency.


Chapter 5 · Pika 2.2 · 2.5 — Pikadditions, Pikaffects, Pikaframes

Pika's strategy is to make feature names memorable.

Pika's appeal sits less in cinematic continuity and more in "effects you can explain in a line." Pikaffects is extremely powerful for ad and social creators.


Chapter 6 · Luma Dream Machine · Ray 2 — Fast and loopable

Luma AI's Dream Machine took the "fast and everyday" position.

Luma's strengths are two-fold. First, Image-to-Video quality is very good — it starts from a still and produces natural motion. Second, the Loop feature (seamlessly repeating clips) is potent for social GIFs and background loops.


Chapter 7 · Kling 1.6 · 2.0 — Kuaishou's global push

Kuaishou (the Chinese rival to TikTok) launched Kling in 2024-06, and it rapidly built a global user base.

Kling's differentiator is Motion Brush — you can paint a region of the frame and direct motion only there. Example: make only this character's hair flow in the wind.


Chapter 8 · MiniMax Hailuo — Fast text-to-video

MiniMax's Hailuo launched 2024-09. Initially free, later monetized.

Hailuo is very strong on English prompts, with fast inference (short clips in roughly 30s–1 minute) as a key advantage. The catch: clips are shorter compared to Sora 2's 25 seconds.


Chapter 9 · Tencent Hunyuan Video — The 13B open-source watershed

On 2024-12-03, Tencent released Hunyuan Video — 13B parameters, an effectively open license (commercial use allowed with some caveats). It reshaped the open-source video landscape.

Hunyuan Video pulled the open-source video camp into "practical" territory. Until then open models were demo-grade.


Chapter 10 · Alibaba Wan 2.1 — 14B with open licensing

In 2025-01, Alibaba released Wan 2.1.

Wan 2.1's real charm is the 1.3B variant. Pure Apache 2.0, runs on a single consumer GPU. Quality is below the 14B and Hunyuan, of course.


Chapter 11 · Genmo Mochi 1 — Apache 2.0 at 10B

In 2024-10, Genmo released Mochi 1 under Apache 2.0.

Mochi 1 was the first to fill the "fully free open video model" slot. License-wise, cleaner than Hunyuan.


Chapter 12 · Lightricks LTX-Video — A real-time 2B model

In 2024-11, Lightricks (the company behind Facetune and Videoleap) released LTX-Video.

LTX-Video moved the quality-vs-speed balance toward speed. Strong for rapid prototyping and iteration.


Chapter 13 · CogVideoX 5B — Tsinghua's open base

In 2024-09, Tsinghua KEG Lab and ZhipuAI released CogVideoX.

CogVideoX is on ModelScope and Hugging Face and was quickly wired into ComfyUI workflows.


Chapter 14 · Stable Video Diffusion · the prehistory

The "prehistory" of video models in one paragraph.

Without these, neither the ComfyUI ecosystem nor today's open-source video models would have taken root.


Chapter 15 · ComfyUI workflows — Wan, Hunyuan, Mochi in one place

ComfyUI is a node-based workflow editor and has become the standard interface for open video models.

Representative node packages:

A typical workflow flows like this:

[Text Prompt]
   |
   v
[CLIP/T5 Text Encoder] --+
                          |
[Empty Latent Video] -----+--> [Diffusion Model (Hunyuan/Wan/Mochi)] --> [Latent Video]
                          |                                                  |
[Negative Prompt] --------+                                                  v
                                                                    [VAE Decode]
                                                                              |
                                                                              v
                                                                       [Video Output]

I2V workflows add an Image Encoder node and a Conditioning node. V2V re-encodes the input video into latent space as the starting point.

ComfyUI's real strength is the ability to drop LoRA, ControlNet, IPAdapter, and upscalers in at the node level. Fine-grained control that closed models simply don't expose.


Chapter 16 · Lip sync — HeyGen, Synthesia, D-ID, Hedra

Video generation and lip sync are different problems. Lip-sync tools form a separate category.

Sora 2 and Veo 3 generate video and audio together, but swapping a new voice into existing footage still belongs to the tools above.


Chapter 17 · Storyboarding and longform — LTX Studio, Showrunner, Wonder

Tools that string 5–25 second clips into longer pieces are separate.

These tools make "sequences, not single clips," and many pull Sora 2, Veo 3, and Runway Gen-4 via API to do so.


Chapter 18 · Watermarks and C2PA — a new standard for provenance

The standard that took root fastest in 2024–2025 is C2PA (Coalition for Content Provenance and Authenticity).

State of play in 2026:

Watermarking is the last line of defense for content trust. But open-source-generated video does not carry C2PA, so the standard operates only inside the closed ecosystem.


Chapter 19 · Korea — VARCO, HyperCLOVA X video

Korea's situation in video is one beat behind text and image, but catching up fast.

The Korean market's particularity is K-content IP. Workflows that preserve character continuity for K-drama, K-pop, and webtoon characters (LoRA training + Runway References + lip sync) are being rapidly experimented with.


Chapter 20 · Japan — NTT Tsuzumi, Pikalmer, Sakana

Japan also has few direct video models, but adjacent fields are active.

Japan leans toward controllable open-source workflows over closed models, weighted by IP continuity and union concerns.


Chapter 21 · Cost — the real price of one clip

Comparable pricing in one summary.

Two paths to the cheapest price. One: open-source models on your own GPU. Two: low-tier Pika/Luma subscription with controlled volumes.


Chapter 22 · Limits — motion coherence, physics, text

Video models in 2026 are strong, but the weaknesses are also clear.

These limits decline at different rates per generation. Text rendering improved fast; physics is improving slowly.


Chapter 23 · Use cases — ads, social, storyboards, R&D

Four of the most active use cases in 2026:

Full feature-film and drama production isn't there yet, but short films, music videos, ads, and trailers already use these tools.


Chapter 24 · Decision tree — which model to use

Last, a one-page situational guide.

This tree is likely to be revised within six months. AI video is still one of the fastest-moving fields.


Epilogue — Questions for the next year

In two years we went from 60-second 1080p to 25-second 4K with synced audio. What does the 2027 model need to solve?

No one has the answers yet. But at the pace of 2024–2026, those answers are likely within another two years.


References

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