Before you choose between LTX 2.3 and WAN 2.2, decide what the model needs to do. WAN 2.2 covers separate text-to-video, image-to-video, speech-to-video, and character-animation tasks. LTX 2.3 generates synchronized audio and video, with full and distilled 22B checkpoints.
Product documentation explains the variants and setup conditions, but does not provide a matched, controlled comparison of visual quality or speed. Use the specs to choose a workflow, then test the exact checkpoint and settings before deciding which one works better for your project.
Quick Verdict (one-line answer for each use case)
Pick LTX 2.3 if you need synchronized audio and video from one model. Before using the weights, confirm which LTX-2 license terms apply to LTX-2.3 after the date stated in Lightricks’ license index.
Pick a WAN 2.2 variant by task: TI2V-5B combines text-to-video and image-to-video at 720p; A14B variants serve separate text-to-video and image-to-video workflows; S2V-14B is for speech-driven video; Animate-14B is for character animation or replacement.
For motion quality, vertical delivery, speed or a specific GPU, test the exact checkpoint and settings you plan to use. Neither model has a universal win across those conditions.
Core Specs Comparison Table (resolution, fps, audio, VRAM, speed)
| Feature | LTX 2.3 | WAN 2.2 |
| Published variants | The LTX-2.3 model card lists ltx-2.3-22b-dev (BF16), ltx-2.3-22b-distilled and ltx-2.3-22b-distilled-1.1 (8 steps, CFG=1), plus LoRAs and upscalers | The WAN 2.2 repository lists T2V-A14B, I2V-A14B, TI2V-5B, S2V-14B and Animate-14B for different tasks |
| Video dimensions | The model card requires width and height divisible by 32 and a frame count one more than a multiple of 8 (for example, 9, 17 or 25). Pipeline and upscaler choices affect final output | Sizes vary by task. The WAN repository gives TI2V-5B 720p sizes of 1280×704 or 704×1280; A14B examples cover 480p and 720p |
| Audio | The LTX-2.3 model card describes synchronized audio and video from one model | S2V-14B is a separate speech-driven video model; it is not the same workflow as LTX audio-video generation |
| Checkpoint license | The model card labels LTX-2.3 with the LTX-2 Community License. The official index says the Jan. 5, 2026 agreement applied through Aug. 11, 2026; confirm the applicable terms after that date. That agreement required entities with annual revenue of at least $10 million to obtain a paid commercial-use license | The official WAN 2.2 T2V-A14B, I2V-A14B, TI2V-5B, S2V-14B and Animate-14B checkpoint cards list Apache 2.0; check the exact card for the variant you download |
| Inference code and components | For releases covered by the LTX agreement, its definition includes model code and inference-enabling code; check separately licensed encoders and dependencies | The WAN 2.2 inference repository is Apache 2.0; check separately licensed third-party components |
| Speed and VRAM | The LTX-2.3 model card gives no universal minimum or matched speed figure; check the exact checkpoint and pipeline | Official WAN examples are variant-specific: the 720p TI2V-5B command lists ≥24GB with --offload_model True --convert_model_dtype --t5_cpu; the 720p T2V-A14B command lists ≥80GB with --offload_model True --convert_model_dtype. The repo suggests --t5_cpu for T2V-A14B OOM issues |
These are local model and checkpoint details. Check inference code, encoders, upscalers and other dependencies separately. A weights license does not set the terms, region, price or data handling for a hosted API; check the current LTX API documentation or Alibaba Model Studio API reference for the service you plan to use.
Quality Comparison
Motion Realism
The product docs I checked do not provide a matched LTX-2.3-versus-WAN-2.2 motion benchmark. For a walking or camera-follow shot, give both models the same brief and input image where applicable. Then check foot contact, body movement, camera path and background drift across the first, middle and last frames. Repeat with the same settings and a few seeds before choosing one for a real job.
Face and Object Consistency
The official documentation does not establish a universal identity-consistency winner. In a local comparison, inspect the same person, clothing, props and background at the start, middle and end of each clip. Keep prompt, input, duration, dimensions and generation settings fixed, and note whether a change came from the model or from a different checkpoint or workflow.
Prompt Adherence
Treat prompt following as a task to check, not a settled ranking. Try one short prompt and one detailed prompt that name the subject, action, camera move and setting. Mark which requested elements appear and whether they stay consistent. The LTX-2.3 model card warns that prompt results may not match perfectly and depend on prompting style. For WAN, record whether prompt extension is on; the official repository offers both API-based and local extension paths.
Speed and VRAM
I do not have matched timing records for these exact checkpoints, so this article should not quote a speed multiplier. The official WAN 2.2 examples show how much the variant and settings matter: the 720p TI2V-5B command lists at least 24GB VRAM with--offload_model True --convert_model_dtype --t5_cpu, while the 720p T2V-A14B command lists at least 80GB with --offload_model True --convert_model_dtype. The repository suggests adding --t5_cpu if the T2V-A14B command runs out of memory. These are configuration-specific examples, not universal minimums or a comparison against LTX. The LTX-2.3 model card lists full BF16 and distilled checkpoints but gives no one-size-fits-all VRAM or render-time figure.
To compare your setup, fix the GPU, checkpoint, task, prompt, input image, output dimensions, frame count, precision, steps, scheduler, software versions and offload settings. Warm up each workflow, run several generations, then report median render time and peak VRAM. Include audio and any upscaling in the notes so the compared outputs represent the workflow you would actually use.
Audio Capability
The LTX-2.3 model card describes synchronized audio and video generation in one model. WAN 2.2 also has an S2V-14B speech-driven video variant, but that is a separate audio-conditioned workflow, not the same feature as generating a synchronized soundtrack with the video. If you use WAN’s standard text-to-video, image-to-video or TI2V path, plan for a separate audio step when sound is needed.
ComfyUI Setup Effort
Both models work in ComfyUI, but WAN 2.2 has had longer to mature there. The node ecosystem is more documented, the community workflows are more tested, and there are fewer surprises.
LTX 2.3 is newer, so the custom nodes are still catching up. NVIDIA published an official ComfyUI guide specifically for LTX 2.3 which is worth bookmarking — it covers quantization, frame count rules (the Nx8+1 thing will bite you if you skip it), and CFG settings. If you’re starting fresh with ComfyUI, both have learning curves. If you already have a WAN 2.2 setup, upgrading weights to 2.2 from 2.1 requires no infrastructure changes. For existing setups, the upgrade is a weight swap with no infrastructure changes required.
Best Use Cases: When to Pick LTX 2.3
- Synchronized audio and video — Choose LTX 2.3 when you want one model to produce both; check which LTX-2 license terms currently apply before using the weights.
- Local prototyping — The model card provides local full and distilled pipelines. Test your exact checkpoint and GPU before estimating iteration time.
- Vertical delivery — Set dimensions supported by your pipeline, then inspect the crop and safe area. WAN also has portrait configurations, so 9:16 alone is not a universal LTX advantage.
Best Use Cases: When to Pick WAN 2.2
- One 720p model for text-to-video and image-to-video — Evaluate TI2V-5B with the official 24GB single-GPU example and its stated offload settings.
- A task-specific graph — Select T2V-A14B, I2V-A14B, S2V-14B or Animate-14B according to the job and its documented requirements.
- An existing ComfyUI workflow — Reuse it after checking the exact nodes and checkpoint versions. Test motion realism on your own shot before choosing WAN for quality.
Decision Checklist
Ask yourself these before choosing:
- Need a vertical clip? → Check the exact variant’s supported dimensions; both families include portrait-capable configurations.
- Need synchronized generated audio and video? → LTX 2.3; WAN S2V-14B is a different, speech-driven video task.
- Need a specific motion or a stable face/object? → Compare the same prompt, input and duration across repeated runs; inspect the start, middle and end frames.
- Have under 16GB VRAM? → Do not pick from model size alone. Check the exact checkpoint, quantization, software path and offload requirements first; the documented WAN 720p TI2V-5B single-GPU example lists at least 24GB.
- Need many iterations? → Test the LTX distilled checkpoint against the exact WAN variant on your GPU; do not apply a published speed multiplier to a different setup.
- Already have a WAN ComfyUI graph? → Check node, model and encoder compatibility before reuse; do not assume a weight swap is enough.
- Need local-only processing? → Both offer local workflows. Check whether prompt extension, encoders or other nodes call a hosted service, and disable those routes if inputs must stay local.
Technical specifications are only one part of the decision. Creators also need to compare retry count, retake options, vertical delivery, editing time, and how reliably a clip survives final approval. Our creator-focused LTX 2.3 vs Wan 2.2 comparison looks at those workflow and delivery differences in more detail.
FAQ
Q: What is the main difference between LTX 2.3 and WAN 2.2?
The main practical difference is the job each family supports. LTX 2.3 generates synchronized audio and video in one model. WAN 2.2 is a family of task-specific releases, including text-to-video, image-to-video, TI2V-5B, speech-driven video and character animation. The LTX-2.3 model card still lists the LTX-2 Community License, while Lightricks’ index says the Jan. 5, 2026 agreement applied through Aug. 11, 2026; check which terms apply now. The WAN 2.2 checkpoint cards list Apache 2.0. Choose by task and license, then compare speed or visual quality on your own matched setup.
Q: Which model is better for short-form social media content like TikTok or Reels?
Either can fit a short-form workflow if the selected variant supports your target dimensions. WAN TI2V-5B documents a 720p portrait size of 704×1280; LTX dimensions must follow its pipeline constraints. Choose based on whether synchronized audio matters, available hardware and license, then preview the crop and motion before committing to a batch.
Q: Does either model support audio generation?
LTX-2.3 generates synchronized audio and video in one model. WAN 2.2 has an S2V-14B speech-driven video variant, but that is not the same as generating a soundtrack with the video. For the standard WAN text-to-video, image-to-video or TI2V workflow, plan a separate audio step if you need sound.
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