Check my GPU →

HunyuanVideo 1.5 on 6 GB of VRAM

Not entirely. Even Q4_K_M is 3.4 GB over 6 GB, so ComfyUI keeps part of it in system RAM. Tencent's 8.3B video model from late 2025, much lighter than the original 13B HunyuanVideo. The FP8 file is the cfg-distilled variant.

Video model · 8.3BAny 6 GB GPUData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

The smallest sensible file, Q4_K_M (5.1 GB), needs about 9.4 GB - 3.4 GB more than 6 GB GPU has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link - see the note below.

Best fileQ4_K_M
File size5.1 GB
VRAM needed~9.4 GB
System RAM32 GB+
Memory map · 6 GB GPU9.4 GB needed · 3.4 GB over 6 GB
05 GB9 GB
Weights Q4_K_M · 5.1 GBWorking memory · 3.5 GBReserve · 0.8 GBSpills to system RAM · 3.4 GB

Also try the FP8 file (8.3 GB) on NVIDIA GPUs. 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 →

02Every file, on 6 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
16.7 GB21.0 GB15.0 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · jayn7
9.0 GB13.3 GB7.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
8.3 GB12.6 GB6.6 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · jayn7
7.0 GB11.3 GB5.3 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · jayn7
6.1 GB10.4 GB4.4 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M ←
GGUF · jayn7
5.1 GB9.4 GB3.4 GB too biggood; 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.

03What to download

PartFileFolderSize
Modelhunyuanvideo1.5_720p_t2v-Q4_K_M.gguf
Q4_K_M · jayn7/HunyuanVideo-1.5_T2V_720p-GGUF
models/unet5.1 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 disk17.4 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 →

04The text encoder

At 9.4 GB even the smallest Qwen2.5-VL 7B + glyph encoder file is too big for 6 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 16.6 GB, FP8 9.4 GB. Why the encoder does not count against VRAM →