Can the RTX 4070 12 GB run HunyuanVideo 1.5?
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 Q6_K (7.0 GB).
Q6_K (7.0 GB) fits with only 0.7 GB to spare (about 11.3 GB of 12 GB). Quality: very close to the original. For better quality, FP8 (8.3 GB) also runs, with about 0.6 GB spilling into system RAM - a little slower, still practical.
Also try the FP8 file (8.3 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 | hunyuanvideo1.5_720p_t2v-Q6_K.gguf Q6_K · jayn7/HunyuanVideo-1.5_T2V_720p-GGUF | models/unet | 7.0 GB | Download → |
| Text encoder | qwen_2.5_vl_7b_fp8_scaled.safetensors Qwen2.5-VL 7B FP8 (scaled) · Comfy-Org/HunyuanVideo_1.5_repackaged | models/text_encoders | 9.4 GB | Download → |
| Text encoder | byt5_small_glyphxl_fp16.safetensors ByT5 small GlyphXL FP16 · Comfy-Org/HunyuanVideo_1.5_repackaged | models/text_encoders | 0.4 GB | Download → |
| VAE | hunyuanvideo15_vae_fp16.safetensors HunyuanVideo 1.5 VAE FP16 · Comfy-Org/HunyuanVideo_1.5_repackaged | models/vae | 2.5 GB | Download → |
| Total download · keep about the same free on disk | 19.4 GB | |||
Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Only for some workflows: SigCLIP vision patch14 384 (0.9 GB, I2V only). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: 480p text to video, FP8 workflow (.json). Drag the file into ComfyUI. All workflows →
02Every HunyuanVideo 1.5 file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 16.7 GB | 21.0 GB | 9.0 GB too big | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 8.3 GB | 12.6 GB | spills 0.6 GB | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · jayn7 | 9.0 GB | 13.3 GB | spills 1.3 GB | practically identical to the original | Hugging Face → |
| Q6_K ← GGUF · jayn7 | 7.0 GB | 11.3 GB | fits · 0.7 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · jayn7 | 6.1 GB | 10.4 GB | fits · 1.6 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · jayn7 | 5.1 GB | 9.4 GB | fits · 2.6 GB spare | good; some loss in fine detail and text | Hugging Face → |
“Needed” adds 3.5 GB of working memory for HunyuanVideo 1.5 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 1.5 on a RTX 4070 12 GB, send your time per image and peak VRAM and it will appear here, credited.
04With more VRAM
With 16 GB you could run HunyuanVideo 1.5 at 8-bit or better (FP8, 8.3 GB) with no offloading: for example on the RTX 5080 16 GB, RTX 5070 Ti 16 GB, RTX 5060 Ti 16 GB.
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 1.5 need?
Around 9.4 GB with the smallest file (Q4_K_M) and 12.6 GB with an 8-bit file (FP8). The full 16-bit file needs about 21.0 GB.
Which HunyuanVideo 1.5 file should I download for the RTX 4070 12 GB?
Q6_K (7.0 GB) from jayn7/HunyuanVideo-1.5_T2V_720p-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for HunyuanVideo 1.5 on the RTX 4070 12 GB?
FP8 (8.3 GB): the RTX 4070 12 GB computes it natively, while Q8_0 (9.0 GB) is unpacked on the fly.
How much do I need to download for HunyuanVideo 1.5 on the RTX 4070 12 GB?
19.4 GB: hunyuanvideo1.5_720p_t2v-Q6_K.gguf, qwen_2.5_vl_7b_fp8_scaled.safetensors, byt5_small_glyphxl_fp16.safetensors, hunyuanvideo15_vae_fp16.safetensors.