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Can the RTX 5090 32 GB run HunyuanVideo 1.5?

Yes. 16-bit fits on the RTX 5090 32 GB with 11.0 GB to spare.

Video model · 8.3B32 GB GDDR7 · 512-bit · 1792 GB/s · BlackwellData 2026-10-01
Runs well
Yes, with room to spare.

16-bit (16.7 GB) needs about 21.0 GB in use, so 11.0 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best file16-bit
File size16.7 GB
VRAM needed~21.0 GB
System RAM48 GB+
Memory map · RTX 5090 32 GB21.0 GB / 32 GB
016 GB32 GB
Weights 16-bit · 16.7 GBWorking memory · 3.5 GBReserve · 0.8 GBFree · 11.0 GB

01What to download

PartFileFolderSize
Modelhunyuanvideo1.5_720p_t2v_fp16.safetensors
16-bit · Comfy-Org/HunyuanVideo_1.5_repackaged
models/diffusion_models16.7 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 disk29.0 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 →

System RAM: 48 GB or more. These files take about 29.0 GB of RAM while loaded, 35.0 GB with Windows and ComfyUI. What happens with less. calculated

02Every HunyuanVideo 1.5 file on 32 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · Comfy-Org
16.7 GB21.0 GBfits · 11.0 GB sparethe original weightsHugging Face →
FP8
SAFETENSORS · Comfy-Org
8.3 GB12.6 GBfits · 19.4 GB sparepractically identical to the originalHugging Face →
Q8_0
GGUF · jayn7
9.0 GB13.3 GBfits · 18.7 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · jayn7
7.0 GB11.3 GBfits · 20.7 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · jayn7
6.1 GB10.4 GBfits · 21.6 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · jayn7
5.1 GB9.4 GBfits · 22.6 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

LabelSetupResultPeak VRAMDateSource
reported720p model · 848x480
“I was able to generate 5 seconds video in 284s at 24fps using the 720p model at 848*480”
ComfyUI; 5 s video at 24 fps; steps not stated
284 s / clip—2025-11-22huggingface.co →

Other people's numbers are copied as published, with a link. Send yours.

04About the RTX 5090 32 GB

The RTX 5090 32 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.

32 GB GDDR7 · 512-bit · 1792 GB/s · Blackwell. 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 5090 32 GB?

16-bit (16.7 GB) from Comfy-Org/HunyuanVideo_1.5_repackaged.

FP8 or Q8_0 for HunyuanVideo 1.5 on the RTX 5090 32 GB?

FP8 (8.3 GB): the RTX 5090 32 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 5090 32 GB?

29.0 GB: hunyuanvideo1.5_720p_t2v_fp16.safetensors, qwen_2.5_vl_7b_fp8_scaled.safetensors, byt5_small_glyphxl_fp16.safetensors, hunyuanvideo15_vae_fp16.safetensors.