Can the RTX 4090 24 GB run HunyuanVideo 1.5?
Yes. 16-bit fits on the RTX 4090 24 GB with 3.0 GB to spare.
Take 16-bit (16.7 GB). In use it comes to about 21.0 GB, with 3.0 GB left over on 24 GB.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | hunyuanvideo1.5_720p_t2v_fp16.safetensors 16-bit · Comfy-Org/HunyuanVideo_1.5_repackaged | models/diffusion_models | 16.7 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 | 29.0 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 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 16.7 GB | 21.0 GB | fits · 3.0 GB spare | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 8.3 GB | 12.6 GB | fits · 11.4 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · jayn7 | 9.0 GB | 13.3 GB | fits · 10.7 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · jayn7 | 7.0 GB | 11.3 GB | fits · 12.7 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · jayn7 | 6.1 GB | 10.4 GB | fits · 13.6 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · jayn7 | 5.1 GB | 9.4 GB | fits · 14.6 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
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| reported | 720p model · 848x480 “The 5 seconds video took 297s to generate so barely longer than on your end” Replicated the 5090 poster's ComfyUI workflow (720p model at 848x480, 5 s @24fps); card undervolted (~5% slower per poster) | 297 s / clip | — | 2025-12-05 | huggingface.co → |
Other people's numbers are copied as published, with a link. Send yours.
04About the RTX 4090 24 GB
The RTX 4090 24 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.)
24 GB GDDR6X · 384-bit · 1008 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 4090 24 GB?
16-bit (16.7 GB) from Comfy-Org/HunyuanVideo_1.5_repackaged.
FP8 or Q8_0 for HunyuanVideo 1.5 on the RTX 4090 24 GB?
FP8 (8.3 GB): the RTX 4090 24 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 4090 24 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.