Video Generation in ComfyUI: The Landscape and VRAM Reality

Local Video Generation Is Now Practical

In 2025 and early 2026, AI video generation crossed a threshold: several open-source models became good enough to use in real creative work, and they all support ComfyUI. You can now generate 5–20 second clips locally — from a text prompt, from a still image, or from existing footage — without a subscription to a cloud service.

The trade-off is VRAM. Video generation is computationally much heavier than image generation because it must produce dozens of temporally coherent frames at once rather than a single image. This lesson maps out the four main video models supported in ComfyUI as of mid-2026, their hardware requirements, and which one to start with for your setup.

The Four Models You Need to Know

These are the video generation models with active ComfyUI support in 2026:

• AnimateDiff: works on top of any SD 1.5 checkpoint; generates short animated clips (8–32 frames). Uses your existing image generation workflow and adds motion. VRAM requirement is similar to the base SD 1.5 workflow plus some overhead — 6–8 GB. Produces lower quality than dedicated video models but is highly controllable and integrates with every SD 1.5 technique you already know (LoRA, ControlNet, IPAdapter).
• Wan 2.2: a dedicated text-to-video and image-to-video model from Alibaba. The 1.3B variant runs on 8 GB VRAM. The 14B model requires 14–16 GB at FP8 precision and produces significantly better quality. Wan 2.2 is natively supported in ComfyUI (no custom node needed) and is the current best-quality option at the 14B scale for users with 16+ GB VRAM.
• HunyuanVideo 1.5: a high-quality video model from Tencent with 8.3 billion parameters. Despite having fewer parameters than Wan 14B, it produces very competitive video quality. The 1.5 version runs on consumer GPUs starting at 8 GB VRAM (heavily quantized). Full quality requires 24 GB+. Best for cinematic quality and longer clips.
• LTX-Video (LTX-2.3): from Lightricks. The fastest local video model available in 2026 and the only open model with synchronized audio generation. 19 billion parameters but optimized for speed; can generate 4K clips at 50 FPS for up to 20 seconds. Requires a modern NVIDIA GPU for best performance.

CogVideoX: A Fifth Option for Lower VRAM

CogVideoX-5B-Lite is worth knowing as an alternative if your GPU has less than 12 GB VRAM. It generates 6-second clips at 480p and is one of the most accessible local video models. Quality is lower than Wan 2.2 or HunyuanVideo, but it runs on hardware that the other models cannot. Install via ComfyUI-Manager (search "CogVideoX").

VRAM Management for Video

Video models occupy VRAM for longer than image models because each denoising step processes all frames in the clip simultaneously. If you run out of VRAM mid-generation, the process crashes or, worse, silently produces corrupted output.

Strategies for lower VRAM:

• GGUF quantized models: Quantized versions of Wan and HunyuanVideo reduce VRAM usage by 30–50% with modest quality loss. The ComfyUI-GGUF custom node supports these. Download Q4_K_M or Q8_0 GGUF versions from Hugging Face.
• Attention slicing: splits the attention computation into smaller chunks. Enable in ComfyUI settings or via the --lowvram or --medvram launch argument.
• Reduce resolution: a 480p clip uses roughly 4x less VRAM than a 1080p clip of the same length. Generate small, then upscale in post-processing (covered in Lesson 10).
• Shorter clips: reduce frame count to stay within VRAM. A 2-second clip at 24 FPS (48 frames) uses significantly less VRAM than a 10-second clip (240 frames).

If local video generation is not viable on your hardware, RunPod remains the recommended cloud option (covered in the Foundations track). Choose a GPU with 24 GB VRAM (RTX 3090, RTX 4090, or A10G) for comfortable Wan 2.2 and HunyuanVideo work.

Choosing Your Starting Point

If you have 8 GB VRAM: start with AnimateDiff or CogVideoX-5B-Lite. AnimateDiff lets you use your existing SD 1.5 checkpoints and workflows.

If you have 12–16 GB VRAM: Wan 2.2 with the 14B FP8 model or HunyuanVideo 1.5 with quantization. This is where video quality becomes genuinely production-usable.

If you have 24 GB VRAM: all models are available at full quality. HunyuanVideo full model and Wan 2.2 14B in BF16 give the best output.