Can the RTX 4080 Super 16 GB run HunyuanVideo (13B, original)?
Not at full quality. The 16-bit and 8-bit files are too big for the RTX 4080 Super 16 GB; the largest that fits is Q6_K (11.0 GB).
Q6_K (11.0 GB) fits with only 0.7 GB to spare (about 15.3 GB of 16 GB). Quality: very close to the original. For better quality, FP8 (13.2 GB) also runs, with about 1.5 GB spilling into system RAM - a little slower, still practical.
Also try the FP8 file (13.2 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | hunyuan-video-t2v-720p-Q6_K.gguf Q6_K · city96/HunyuanVideo-gguf | models/unet | 11.0 GB | Download → |
| Text encoder | llava_llama3_fp8_scaled.safetensors LLaVA-Llama3 FP8 (scaled) · Comfy-Org/HunyuanVideo_repackaged | models/text_encoders | 9.1 GB | Download → |
| Text encoder | clip_l.safetensors CLIP-L · Comfy-Org/HunyuanVideo_repackaged | models/text_encoders | 0.2 GB | Download → |
| VAE | hunyuan_video_vae_bf16.safetensors HunyuanVideo VAE BF16 · Comfy-Org/HunyuanVideo_repackaged | models/vae | 0.5 GB | Download → |
| Total download · keep about the same free on disk | 20.8 GB | |||
Alternatives: LLaVA-Llama3 FP16 (16.1 GB). Only for some workflows: LLaVA-Llama3 vision (0.6 GB, I2V only). Sizes from Hugging Face, 2026-10-01.
02Every HunyuanVideo 13B file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 25.6 GB | 29.9 GB | 13.9 GB too big | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Kijai | 13.2 GB | 17.5 GB | spills 1.5 GB | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · city96 | 14.0 GB | 18.3 GB | 2.3 GB too big | practically identical to the original | Hugging Face → |
| Q6_K ← GGUF · city96 | 11.0 GB | 15.3 GB | fits · 0.7 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · city96 | 9.4 GB | 13.7 GB | fits · 2.3 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · city96 | 7.9 GB | 12.2 GB | fits · 3.8 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · city96 | 6.2 GB | 10.5 GB | fits · 5.5 GB spare | noticeable loss of detail | Hugging Face → |
“Needed” adds 3.5 GB of working memory for HunyuanVideo 13B and a 0.8 GB reserve. Sizes 2026-10-01.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run HunyuanVideo 13B on a RTX 4080 Super 16 GB, send your time per image and peak VRAM and it will appear here, credited.
04With more VRAM
With 20 GB you could run HunyuanVideo 13B at 8-bit or better (FP8, 13.2 GB) with no offloading.
What changes from the RTX 4080 Super 16 GB to the RTX 5090 32 GB →
05About the RTX 4080 Super 16 GB
The RTX 4080 Super 16 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)
16 GB GDDR6X · 256-bit · 736 GB/s · Ada Lovelace. Everything that runs on it →
06Questions
How much VRAM does HunyuanVideo 13B need?
Around 10.5 GB with the smallest file (Q3_K_M) and 17.5 GB with an 8-bit file (FP8). The full 16-bit file needs about 29.9 GB.
Which HunyuanVideo 13B file should I download for the RTX 4080 Super 16 GB?
Q6_K (11.0 GB) from city96/HunyuanVideo-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for HunyuanVideo 13B on the RTX 4080 Super 16 GB?
FP8 (13.2 GB): the RTX 4080 Super 16 GB computes it natively, while Q8_0 (14.0 GB) is unpacked on the fly.
How much do I need to download for HunyuanVideo 13B on the RTX 4080 Super 16 GB?
20.8 GB: hunyuan-video-t2v-720p-Q6_K.gguf, llava_llama3_fp8_scaled.safetensors, clip_l.safetensors, hunyuan_video_vae_bf16.safetensors.