Can My GPU Run Z-Image Turbo?
Text to Image · VRAM requirements and compatibility for 78 GPUs
Home › AI Models › Z-Image Turbo
Fast image generation and inpainting. Z-Image Turbo is a text to image model — developed by Tongyi-MAI (Alibaba), released 2025-11, 6B parameters, 8.0 GB download, license: open.
Short answer: you need at least 4 GB of VRAM (6 GB recommended). 78 of 78 GPUs can run it; the smallest NVIDIA card that can is the GTX 1060 6GB (6 GB).
Check Z-Image Turbo on your GPUZ-Image Turbo VRAM requirements
| Format | VRAM |
|---|---|
| FP16 (full precision) | 10 GB |
| FP8 | 6 GB |
| GGUF Q4 | 5 GB |
| GGUF Q3 | 4 GB |
| Minimum | 4 GB |
| Recommended | 6 GB |
| Optimal | 10 GB |
Tip: Fast T2I and inpainting. GGUF Q4_K_M ~5GB. Good for quick iterations.
Available as: ComfyUI, Diffusers, GGUF quantized versions, FP8 versions, CPU offloading.
Official pages: Hugging Face · GitHub
Which GPUs can run Z-Image Turbo?
Ratings go from S (perfect) to F (can't run) and use the best format that fits in each card's VRAM. How ratings work.
NVIDIA
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| RTX 5090 | 32 GB | Perfect | FP16 | Fast | Details |
| RTX 5080 | 16 GB | Great | FP16 | Fast | Details |
| RTX 5070 Ti | 16 GB | Great | FP16 | Fast | Details |
| RTX 5070 | 12 GB | Good | FP16 | Fast | Details |
| RTX 5060 Ti 16GB | 16 GB | Good | FP16 | Fast | Details |
| RTX 5060 Ti 8GB | 8 GB | Good | FP8 | Moderate | Details |
| RTX 5060 | 8 GB | Good | FP8 | Moderate | Details |
| RTX 4090 | 24 GB | Perfect | FP16 | Fast | Details |
| RTX 4080 Super | 16 GB | Great | FP16 | Fast | Details |
| RTX 4080 | 16 GB | Great | FP16 | Fast | Details |
| RTX 4070 Ti Super | 16 GB | Great | FP16 | Fast | Details |
| RTX 4070 Ti | 12 GB | Good | FP16 | Fast | Details |
| RTX 4070 Super | 12 GB | Good | FP16 | Fast | Details |
| RTX 4070 | 12 GB | Good | FP16 | Moderate | Details |
| RTX 4060 Ti 16GB | 16 GB | Good | FP16 | Moderate | Details |
| RTX 4060 Ti 8GB | 8 GB | Good | FP8 | Moderate | Details |
| RTX 4060 | 8 GB | Good | FP8 | Moderate | Details |
| RTX 3090 Ti | 24 GB | Great | FP16 | Fast | Details |
| RTX 3090 | 24 GB | Great | FP16 | Fast | Details |
| RTX 3080 Ti | 12 GB | Good | FP16 | Fast | Details |
| RTX 3080 12GB | 12 GB | Good | FP16 | Fast | Details |
| RTX 3080 10GB | 10 GB | Usable | FP16 | Moderate | Details |
| RTX 3070 Ti | 8 GB | Good | GGUF Q4 | Moderate | Details |
| RTX 3070 | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 3060 Ti | 8 GB | Good | GGUF Q4 | Slow | Details |
| RTX 5050 | 8 GB | Good | FP8 | Moderate | Details |
| RTX 3060 | 12 GB | Good | FP16 | Moderate | Details |
| RTX 2080 Ti | 11 GB | Usable | FP16 | Moderate | Details |
| RTX 2080 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2080 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2070 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2070 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2060 Super | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RTX 2060 | 6 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1080 Ti | 11 GB | Usable | FP16 | Moderate | Details |
| GTX 1080 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1070 Ti | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1070 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| GTX 1060 6GB | 6 GB | Usable | GGUF Q4 | Slow | Details |
AMD
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| RX 9070 XT | 16 GB | Great | FP16 | Fast | Details |
| RX 9070 | 16 GB | Good | FP16 | Fast | Details |
| RX 7900 XTX | 24 GB | Great | FP16 | Fast | Details |
| RX 9070 GRE | 12 GB | Good | FP16 | Moderate | Details |
| RX 7900 XT | 20 GB | Great | FP16 | Fast | Details |
| RX 9060 XT 16GB | 16 GB | Good | FP16 | Moderate | Details |
| RX 9060 XT 8GB | 8 GB | Good | FP8 | Moderate | Details |
| RX 7900 GRE | 16 GB | Good | FP16 | Moderate | Details |
| RX 7800 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 7700 XT | 12 GB | Good | FP16 | Moderate | Details |
| RX 7600 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 7600 | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RX 6950 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 6900 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 6800 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 6800 | 16 GB | Good | FP16 | Moderate | Details |
| RX 6700 XT | 12 GB | Usable | FP16 | Moderate | Details |
| RX 6600 XT | 8 GB | Usable | GGUF Q4 | Slow | Details |
| RX 6600 | 8 GB | Usable | GGUF Q4 | Slow | Details |
Apple
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| M5 Ultra | 96 GB | Usable | FP16 | Fast | Details |
| M3 Ultra | 96 GB | Usable | FP16 | Fast | Details |
| M4 Max | 48 GB | Usable | FP16 | Fast | Details |
| M5 Max | 48 GB | Usable | FP16 | Fast | Details |
| M4 Pro | 24 GB | Barely | FP16 | Moderate | Details |
| M5 Pro | 24 GB | Barely | FP16 | Moderate | Details |
| M4 | 16 GB | Barely | FP16 | Slow | Details |
| M3 Max | 36 GB | Usable | FP16 | Fast | Details |
| M3 Pro | 18 GB | Barely | FP16 | Moderate | Details |
| M5 | 16 GB | Barely | FP16 | Slow | Details |
| M6 | 16 GB | Barely | FP16 | Moderate | Details |
| M3 | 16 GB | Barely | FP16 | Slow | Details |
| M2 Ultra | 192 GB | Usable | FP16 | Fast | Details |
| M2 Max | 96 GB | Usable | FP16 | Fast | Details |
| M2 Pro | 32 GB | Barely | FP16 | Moderate | Details |
| M2 | 24 GB | Barely | FP16 | Moderate | Details |
| M1 Ultra | 128 GB | Usable | FP16 | Fast | Details |
| M1 Max | 64 GB | Usable | FP16 | Fast | Details |
| M1 Pro | 32 GB | Barely | FP16 | Moderate | Details |
| M1 | 16 GB | Barely | FP16 | Slow | Details |
Frequently asked questions
How much VRAM does Z-Image Turbo need?
Z-Image Turbo needs at least 4 GB of VRAM, 6 GB recommended, and 10 GB to run at full FP16 precision.
Can Z-Image Turbo run on 8 GB of VRAM (e.g. NVIDIA RTX 4060)?
On the NVIDIA RTX 4060: yes, in FP8 (rating B, good).
Can Z-Image Turbo run on the NVIDIA RTX 3060 (12 GB)?
Yes, in FP16 (rating B, good).
Which GPUs can run Z-Image Turbo?
78 of the 78 GPUs we track can run it, and 41 run it well (rating B or better). The cheapest one that runs it well is the NVIDIA RTX 5050 (8 GB, about $249).
Does Z-Image Turbo work on AMD or Apple Silicon?
19 AMD Radeon and 20 Apple Silicon chips in our list can run it. There is no MPS backend, so it may not work on Apple Silicon.