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Can the RTX 4060 Ti 16 GB run HunyuanVideo 1.5?

Yes. FP8 fits on the RTX 4060 Ti 16 GB with 3.4 GB to spare.

Video model · 8.3B16 GB GDDR6 · 128-bit · 288 GB/s · Ada LovelaceData 2026-10-01
Runs well
Yes.

Take FP8 (8.3 GB). In use it comes to about 12.6 GB, with 3.4 GB left over on 16 GB.

Best fileFP8
File size8.3 GB
VRAM needed~12.6 GB
System RAM32 GB+
Memory map · RTX 4060 Ti 16 GB12.6 GB / 16 GB
08 GB16 GB
Weights FP8 · 8.3 GBWorking memory · 3.5 GBReserve · 0.8 GBFree · 3.4 GB

01What to download

PartFileFolderSize
Modelhunyuanvideo1.5_480p_t2v_cfg_distilled_fp8_scaled.safetensors
FP8 · Comfy-Org/HunyuanVideo_1.5_repackaged
models/diffusion_models8.3 GBDownload →
Text encoderqwen_2.5_vl_7b_fp8_scaled.safetensors
Qwen2.5-VL 7B FP8 (scaled) · Comfy-Org/HunyuanVideo_1.5_repackaged
models/text_encoders9.4 GBDownload →
Text encoderbyt5_small_glyphxl_fp16.safetensors
ByT5 small GlyphXL FP16 · Comfy-Org/HunyuanVideo_1.5_repackaged
models/text_encoders0.4 GBDownload →
VAEhunyuanvideo15_vae_fp16.safetensors
HunyuanVideo 1.5 VAE FP16 · Comfy-Org/HunyuanVideo_1.5_repackaged
models/vae2.5 GBDownload →
Total download · keep about the same free on disk20.7 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 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
16.7 GB21.0 GB5.0 GB too bigthe original weightsHugging Face →
FP8 ←
SAFETENSORS · Comfy-Org
8.3 GB12.6 GBfits · 3.4 GB sparepractically identical to the originalHugging Face →
Q8_0
GGUF · jayn7
9.0 GB13.3 GBfits · 2.7 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · jayn7
7.0 GB11.3 GBfits · 4.7 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · jayn7
6.1 GB10.4 GBfits · 5.6 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · jayn7
5.1 GB9.4 GBfits · 6.6 GB sparegood; some loss in fine detail and textHugging 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 4060 Ti 16 GB, send your time per image and peak VRAM and it will appear here, credited.

04About the RTX 4060 Ti 16 GB

The RTX 4060 Ti 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 GDDR6 · 128-bit · 288 GB/s · Ada Lovelace. Everything that runs on it →

05Questions

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 4060 Ti 16 GB?

FP8 (8.3 GB) from Comfy-Org/HunyuanVideo_1.5_repackaged.

FP8 or Q8_0 for HunyuanVideo 1.5 on the RTX 4060 Ti 16 GB?

FP8 (8.3 GB): the RTX 4060 Ti 16 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 4060 Ti 16 GB?

20.7 GB: hunyuanvideo1.5_480p_t2v_cfg_distilled_fp8_scaled.safetensors, qwen_2.5_vl_7b_fp8_scaled.safetensors, byt5_small_glyphxl_fp16.safetensors, hunyuanvideo15_vae_fp16.safetensors.