Best AI tools for generate video
Local & cloud video diffusion: Wan, Hunyuan, CogVideoX, LTX.
The decision that matters
Start from the model and output workload. Workflow interfaces do not erase the memory cost of resolution, frame count, conditioning models, or upscaling.
Check these constraints
- Largest graph you will run weekly
- Required extensions and model ecosystem
- Offload behavior and platform support
Compare the catalogue
Runway Gen-4
Cinematic-quality cloud video generation.
Hunyuan3D-2
Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.
KJNodes for ComfyUI
Cutting-edge video & advanced sampling nodes by Kijai.
Mochi 1
Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.
Kling 2.1
Cloud video gen with strong motion control.
LTX-Video
Real-time-ish open video diffusion from Lightricks.
Pika 2.2
Cloud video generation with Pikaffects and Scenes.
Diffusers
Hugging Face's go-to library for every diffusion model.
TRELLIS
Microsoft Research's structured 3D representation model.
Luma AI
Phone-scan to NeRF, Genie text-to-3D, and Dream Machine video.
AnimateDiff
Add motion to any SD checkpoint via a motion module.
ComfyUI-AnimateDiff-Evolved
Animation motion modules for ComfyUI.
Pyramid Flow
Memory-efficient T2V via pyramidal flow matching.
Stable Zero123
Novel-view synthesis — generate any angle from a single image.
Stable Video Diffusion
Image-to-video diffusion — 25 frames, 14 or 25 steps.


