Can the RTX 3080 10 GB run HunyuanVideo (13B, original)?
Not entirely. Even Q3_K_M is 0.5 GB over 10 GB, so ComfyUI keeps part of it in system RAM.
Nothing fits entirely, but Q3_K_M (6.2 GB) overflows by only about 0.5 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.
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 →
01With more VRAM
With 20 GB you could run HunyuanVideo 13B at 8-bit or better (Q8_0, 14.0 GB) with no offloading.
What changes from the RTX 3080 10 GB to the RTX 3090 24 GB → · What changes from the RTX 3080 10 GB to the RTX 5070 Ti 16 GB →
02Every HunyuanVideo 13B file on 10 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 25.6 GB | 29.9 GB | 19.9 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · city96 | 14.0 GB | 18.3 GB | 8.3 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Kijai | 13.2 GB | 17.5 GB | 7.5 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 11.0 GB | 15.3 GB | 5.3 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · city96 | 9.4 GB | 13.7 GB | 3.7 GB too big | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · city96 | 7.9 GB | 12.2 GB | 2.2 GB too big | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M ← GGUF · city96 | 6.2 GB | 10.5 GB | spills 0.5 GB | 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.
03What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | hunyuan-video-t2v-720p-Q3_K_M.gguf Q3_K_M · city96/HunyuanVideo-gguf | models/unet | 6.2 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 | 16.1 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.
04Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run HunyuanVideo 13B on a RTX 3080 10 GB, send your time per image and peak VRAM and it will appear here, credited.
05About the RTX 3080 10 GB
The RTX 3080 10 GB (Ampere) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain - Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.
10 GB GDDR6X · 320-bit · 760 GB/s · Ampere. 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 3080 10 GB?
Q3_K_M (6.2 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 3080 10 GB?
Q8_0 (14.0 GB). The RTX 3080 10 GB has no FP8 maths, so FP8 (13.2 GB) only saves memory and is a step further from the original.
How much do I need to download for HunyuanVideo 13B on the RTX 3080 10 GB?
16.1 GB: hunyuan-video-t2v-720p-Q3_K_M.gguf, llava_llama3_fp8_scaled.safetensors, clip_l.safetensors, hunyuan_video_vae_bf16.safetensors.