Can the RTX 4070 12 GB run HunyuanVideo (13B, original)?
Not at full quality. The 16-bit and 8-bit files are too big for the RTX 4070 12 GB; the largest that fits is Q3_K_M (6.2 GB).
Q3_K_M (6.2 GB) fits with only 1.5 GB to spare (about 10.5 GB of 12 GB). Quality: noticeable loss of detail. For better quality, Q4_K_M (7.9 GB) also runs, with about 0.2 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-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.
02Every HunyuanVideo 13B file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 25.6 GB | 29.9 GB | 17.9 GB too big | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Kijai | 13.2 GB | 17.5 GB | 5.5 GB too big | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · city96 | 14.0 GB | 18.3 GB | 6.3 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 11.0 GB | 15.3 GB | 3.3 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · city96 | 9.4 GB | 13.7 GB | spills 1.7 GB | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · city96 | 7.9 GB | 12.2 GB | spills 0.2 GB | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M ← GGUF · city96 | 6.2 GB | 10.5 GB | fits · 1.5 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 4070 12 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 4070 12 GB to the RTX 4070 Ti Super 16 GB → · What changes from the RTX 4070 12 GB to the RTX 3090 24 GB →
05About the RTX 4070 12 GB
The RTX 4070 12 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.)
12 GB GDDR6X · 192-bit · 504 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 4070 12 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 4070 12 GB?
FP8 (13.2 GB): the RTX 4070 12 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 4070 12 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.