Can My GPU Run T2I-Adapter SDXL?
ControlNet · VRAM requirements and compatibility for 78 GPUs
Home › AI Models › T2I-Adapter SDXL
Lightweight structural guidance, less VRAM than ControlNet. T2I-Adapter SDXL is a controlnet model — developed by TencentARC, released 2023-10, 80M parameters, 300 MB download, license: apache-2.0.
Short answer: you need at least 5 GB of VRAM (8 GB recommended). 78 of 78 GPUs can run it; the smallest NVIDIA card that can is the GTX 1060 6GB (6 GB).
Check T2I-Adapter SDXL on your GPUT2I-Adapter SDXL VRAM requirements
| Format | VRAM |
|---|---|
| FP16 (full precision) | 8 GB |
| Minimum | 5 GB |
| Recommended | 8 GB |
| Optimal | 12 GB |
Tip: Lighter than ControlNet. Adds ~0.5-1GB to base model.
Available as: ComfyUI, Diffusers, CPU offloading.
Official pages: Hugging Face
Which GPUs can run T2I-Adapter SDXL?
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 | Usable | FP16 | Moderate | Details |
| RTX 5060 | 8 GB | Usable | FP16 | 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 | Great | FP16 | Fast | Details |
| RTX 4070 Super | 12 GB | Good | FP16 | Fast | Details |
| RTX 4070 | 12 GB | Good | FP16 | Fast | Details |
| RTX 4060 Ti 16GB | 16 GB | Good | FP16 | Fast | Details |
| RTX 4060 Ti 8GB | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 4060 | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 3090 Ti | 24 GB | Great | FP16 | Fast | Details |
| RTX 3090 | 24 GB | Great | FP16 | Fast | Details |
| RTX 3080 Ti | 12 GB | Great | FP16 | Fast | Details |
| RTX 3080 12GB | 12 GB | Good | FP16 | Fast | Details |
| RTX 3080 10GB | 10 GB | Good | FP16 | Fast | Details |
| RTX 3070 Ti | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 3070 | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 3060 Ti | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 5050 | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 3060 | 12 GB | Good | FP16 | Moderate | Details |
| RTX 2080 Ti | 11 GB | Good | FP16 | Moderate | Details |
| RTX 2080 Super | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 2080 | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 2070 Super | 8 GB | Usable | FP16 | Moderate | Details |
| RTX 2070 | 8 GB | Usable | FP16 | Slow | Details |
| RTX 2060 Super | 8 GB | Usable | FP16 | Slow | Details |
| RTX 2060 | 6 GB | Barely | Offload | Very Slow | Details |
| GTX 1080 Ti | 11 GB | Good | FP16 | Moderate | Details |
| GTX 1080 | 8 GB | Usable | FP16 | Slow | Details |
| GTX 1070 Ti | 8 GB | Usable | FP16 | Slow | Details |
| GTX 1070 | 8 GB | Usable | FP16 | Slow | Details |
| GTX 1060 6GB | 6 GB | Barely | Offload | Very Slow | Details |
AMD
| GPU | VRAM | Rating | Runs as | Speed | |
|---|---|---|---|---|---|
| RX 9070 XT | 16 GB | Great | FP16 | Fast | Details |
| RX 9070 | 16 GB | Great | FP16 | Fast | Details |
| RX 7900 XTX | 24 GB | Great | FP16 | Fast | Details |
| RX 9070 GRE | 12 GB | Good | FP16 | Fast | Details |
| RX 7900 XT | 20 GB | Great | FP16 | Fast | Details |
| RX 9060 XT 16GB | 16 GB | Good | FP16 | Fast | Details |
| RX 9060 XT 8GB | 8 GB | Usable | FP16 | Moderate | Details |
| RX 7900 GRE | 16 GB | Good | FP16 | Fast | Details |
| RX 7800 XT | 16 GB | Good | FP16 | Fast | Details |
| RX 7700 XT | 12 GB | Good | FP16 | Moderate | Details |
| RX 7600 XT | 16 GB | Good | FP16 | Moderate | Details |
| RX 7600 | 8 GB | Usable | FP16 | Moderate | 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 | Good | FP16 | Moderate | Details |
| RX 6600 XT | 8 GB | Usable | FP16 | Slow | Details |
| RX 6600 | 8 GB | Barely | FP16 | 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 | Moderate | Details |
| M3 Max | 36 GB | Usable | FP16 | Fast | Details |
| M3 Pro | 18 GB | Barely | FP16 | Moderate | Details |
| M5 | 16 GB | Barely | FP16 | Moderate | 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 T2I-Adapter SDXL need?
T2I-Adapter SDXL needs at least 5 GB of VRAM, 8 GB recommended, and 8 GB to run at full FP16 precision.
Can T2I-Adapter SDXL run on 8 GB of VRAM (e.g. NVIDIA RTX 4060)?
On the NVIDIA RTX 4060: yes, in FP16 (rating C, usable).
Can T2I-Adapter SDXL run on the NVIDIA RTX 3060 (12 GB)?
Yes, in FP16 (rating B, good).
Which GPUs can run T2I-Adapter SDXL?
78 of the 78 GPUs we track can run it, and 36 run it well (rating B or better). The cheapest one that runs it well is the NVIDIA RTX 3060 (12 GB, about $329).
Does T2I-Adapter SDXL 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.