Can the RTX 5080 16 GB run Z-Image Turbo?
Yes, but only just: 16-bit leaves 1.7 GB free on the RTX 5080 16 GB.
16-bit (12.3 GB) fits with only 1.7 GB to spare (about 14.3 GB of 16 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | z_image_turbo_bf16.safetensors 16-bit · Comfy-Org/z_image_turbo | models/diffusion_models | 12.3 GB | Download → |
| Text encoder | qwen_3_4b_fp8_mixed.safetensors Qwen3 4B FP8 · Comfy-Org/z_image_turbo | models/text_encoders | 5.6 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · Comfy-Org/z_image_turbo | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 18.3 GB | |||
Alternatives: Qwen3 4B BF16 (8.0 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: 16-bit workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Z-Image Turbo file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 12.3 GB | 14.3 GB | fits · 1.7 GB spare | the original weights | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 6.2 GB | 8.2 GB | fits · 7.8 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · unsloth | 7.2 GB | 9.2 GB | fits · 6.8 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · unsloth | 5.9 GB | 7.9 GB | fits · 8.1 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · unsloth | 5.6 GB | 7.6 GB | fits · 8.4 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · unsloth | 5.0 GB | 7.0 GB | fits · 9.0 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · unsloth | 4.2 GB | 6.2 GB | fits · 9.8 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · unsloth | 3.6 GB | 5.6 GB | fits · 10.4 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 1.2 GB of working memory for Z-Image Turbo 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 Z-Image Turbo on a RTX 5080 16 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 5080 16 GB
The RTX 5080 16 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.
16 GB GDDR7 · 256-bit · 960 GB/s · Blackwell. Everything that runs on it →
05Questions
How much VRAM does Z-Image Turbo need?
Around 5.6 GB with the smallest file (Q2_K) and 8.2 GB with an 8-bit file (INT8). The full 16-bit file needs about 14.3 GB.
Which Z-Image Turbo file should I download for the RTX 5080 16 GB?
16-bit (12.3 GB) from Comfy-Org/z_image_turbo.
How much do I need to download for Z-Image Turbo on the RTX 5080 16 GB?
18.3 GB: z_image_turbo_bf16.safetensors, qwen_3_4b_fp8_mixed.safetensors, ae.safetensors.