Unverified60% confidenceFactExact time
Video generation models in their original FP16 format may require more than 20GB of VRAM, which can be compressed to under 5GB after Q4 quantization.
2
Sources
60%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Runs on Low VRAM! A Hands-On Look at the ID LoRA Face-to-Video Workflow
redditr/comfyui7/9/2026
Related Claims
VerifiedA raw video of 512×512 resolution and 24 frames has a data volume of approximately 18 MB, which is reduced to approximately 1/96 of the original after VAE compression into the 64×64×4 latent variable space.81% similarVerifiedUnder certain configurations, graphics cards with 16GB of VRAM can also complete video generation with the Wan model at lower resolutions.79% similarUnverifiedDuring text-to-video generation, the system performs video dimension alignment—for example, aligning 400×400 to a multiple of 32 to meet the input requirements of the generation model.79% similarUnverifiedFull-precision video diffusion model inference typically requires a GPU with more than 24 GB of VRAM, whereas 0.4MP with 10-step Turbo acceleration may reduce VRAM requirements to the 12–16 GB level.78% similar
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