RX 9060 XT 16 GB for local AI
Which image and video models run on the RX 9060 XT 16 GB, which file to download for each, and how much VRAM they need.
VRAM16 GB
MemoryGDDR6
Bus128-bit
Bandwidth320 GB/s
ArchitectureRDNA 4
Launched2025-06
Launch price$349
Runs well25 of 49
Specs: www.amd.com · launch: www.amd.com
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Runs well | FP8 | 11.9 GB | 14.2 GB |
| FLUX.1 [schnell] | Runs well | FP8 | 11.9 GB | 14.2 GB |
| FLUX.1 Kontext [dev] | Runs well | FP8 | 11.9 GB | 14.5 GB |
| FLUX.1 Krea [dev] | Runs well | FP8 | 11.9 GB | 14.2 GB |
| FLUX.1 Fill [dev] | Runs well | Q8_0 | 12.7 GB | 15.3 GB |
| FLUX.2 [dev] | Offload only | Q2_K | 12.9 GB | 16.2 GB |
| FLUX.2 [klein] 9B | Runs well | FP8 | 9.4 GB | 11.7 GB |
| FLUX.2 [klein] 4B | Runs well | 16-bit | 7.8 GB | 9.6 GB |
| Krea 2 (Turbo) | Runs well | FP8 | 13.1 GB | 15.7 GB |
| Qwen-Image | Runs | Q4_K_M | 13.1 GB | 15.9 GB |
| Qwen-Image-Edit (2511) | Tight | Q3_K_M | 9.9 GB | 12.9 GB |
| Qwen-Image 2.1 | Runs well | Q8_0 | 7.6 GB | 9.9 GB |
| Z-Image Turbo | Runs well | 16-bit | 12.3 GB | 14.3 GB |
| Z-Image (base) | Runs well | 16-bit | 12.3 GB | 14.3 GB |
| Ideogram 4 | Runs | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Runs well | FP8 | 10.3 GB | 12.9 GB |
| ERNIE-Image (Turbo) | Runs well | Q8_0 | 8.7 GB | 11.0 GB |
| HiDream-O1-Image | Runs well | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Runs well | 16-bit | 8.2 GB | 10.0 GB |
| Lumina Image 2.0 | Runs well | 16-bit | 5.2 GB | 7.0 GB |
| HiDream-I1 (Full) | Runs | Q5_K_M | 13.0 GB | 15.8 GB |
| HiDream-I1 (Dev) | Runs | Q5_K_M | 13.0 GB | 15.8 GB |
| Stable Diffusion 3.5 Large | Runs well | Q8_0 | 8.8 GB | 11.1 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs well | FP8 | 9.2 GB | 11.5 GB |
| SDXL 1.0 | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Illustrious XL / Pony (SDXL anime) | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Stable Diffusion 1.5 | Runs well | 16-bit | 2.1 GB | 3.3 GB |
| HunyuanImage 2.1 | Runs | Q4_K_M | 11.3 GB | 14.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Runs | Q5_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 T2V 1.3B | Runs well | 16-bit | 2.8 GB | 5.6 GB |
| Wan 2.1 I2V 14B 480P | Runs | Q4_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 I2V 14B 720P | Tight | Q3_K_M | 8.6 GB | 15.4 GB |
| Wan 2.1 VACE 14B | Tight | Q3_K_S | 7.8 GB | 12.6 GB |
| Wan 2.2 T2V A14B | Runs | Q5_K_M | 10.8 GB | 15.1 GB |
| Wan 2.2 I2V A14B | Runs | Q5_K_M | 10.8 GB | 15.1 GB |
| Wan 2.2 TI2V 5B | Runs well | 16-bit | 10.0 GB | 13.8 GB |
| Wan 2.2 Animate 14B | Tight | Q3_K_M | 8.6 GB | 13.9 GB |
| Wan Animate 2 (14B) | Tight | Q3_K_M | 8.6 GB | 13.9 GB |
| Wan 2.2 S2V 14B | Tight | Q2_K | 9.5 GB | 14.3 GB |
| SCAIL-2 (character animation) | Tight | Q3_K_M | 9.1 GB | 14.4 GB |
| HunyuanVideo (13B, original) | Runs | Q6_K | 11.0 GB | 15.3 GB |
| LTX-Video 13B (0.9.8) | Runs | Q6_K | 10.9 GB | 15.2 GB |
| HunyuanVideo 1.5 | Runs well | FP8 | 8.3 GB | 12.6 GB |
| LTX-2 (19B) | Tight | Q3_K_M | 10.1 GB | 14.9 GB |
| LTX-2.3 (22B) | Tight | Q3_K_M | 10.8 GB | 15.6 GB |
| LTX-2.5 (22B) | Tight | Q2_K | 8.8 GB | 13.6 GB |
| MiniMax H3 (33B) | Offload only | Q4_K_M | 19.9 GB | 25.7 GB |
| MiniMax H3 Pruned | Tight | Q3_K_M | 8.9 GB | 14.7 GB |
Calculated from real file sizes plus working memory. How the numbers work.
02Good to know
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. RX 9000 (RDNA 4) GPUs have FP8 hardware, and ComfyUI computes FP8 natively on them with PyTorch 2.7+ and ROCm 6.4+.
03Measured and reported results
No measured results yet. Send yours.