Can the RX 7900 XTX 24 GB run HunyuanVideo 1.5?
Yes. 16-bit fits on the RX 7900 XTX 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 → |
| Q8_0 GGUF · jayn7 | 9.0 GB | 13.3 GB | fits · 10.7 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 8.3 GB | 12.6 GB | fits · 11.4 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
Nobody has sent measured numbers for this pair yet. If you run HunyuanVideo 1.5 on a RX 7900 XTX 24 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RX 7900 XTX 24 GB
ComfyUI supports AMD GPUs on Windows officially since v0.7.0 (January 2026), through ROCm. Memory works the same as on NVIDIA, so the fit verdicts apply. Some custom nodes are NVIDIA-only. RDNA 3 has no FP8 compute, so FP8 files save memory but give no speed-up.
24 GB GDDR6 · 384-bit · 960 GB/s · RDNA 3. 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 RX 7900 XTX 24 GB?
16-bit (16.7 GB) from Comfy-Org/HunyuanVideo_1.5_repackaged.
FP8 or Q8_0 for HunyuanVideo 1.5 on the RX 7900 XTX 24 GB?
Q8_0 (9.0 GB). The RX 7900 XTX 24 GB has no FP8 maths, so FP8 (8.3 GB) only saves memory and is a step further from the original.
How much do I need to download for HunyuanVideo 1.5 on the RX 7900 XTX 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.