Generate the best visual fidelity and longer video clips locally. Large models with cinematic motion, coherent scenes, and sharp detail.
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP16 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP16 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP16 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP8 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
RTX 4090 (24 GB)
FP16 · N/A per clip
A100 (80 GB)
FP16 · N/A per clip
Recommended runtime: ComfyUI or diffusers (Python)
Wan 14B and HunyuanVideo currently produce the highest quality video output with coherent motion and sharp detail. LTX Video 13B is a strong contender with excellent temporal consistency. All require 24 GB+ VRAM at FP16.
High-quality video models (14B+ params) need 24-48 GB VRAM at FP16. With FP8 quantization, you can run them on 24 GB GPUs like the RTX 4090. An A100 80 GB handles these models at full precision with room for longer clips.
On an RTX 4090, expect 2-10 minutes for a 3-5 second clip at 720p with a 14B model. Longer clips and higher resolutions scale generation time linearly. An A100 80 GB is roughly 2x faster for these workloads.
