RX 9060 XT 8 GB for local AI
Which image and video models run on the RX 9060 XT 8 GB, which file to download for each, and how much VRAM they need.
VRAM8 GB
MemoryGDDR6
Bus128-bit
Bandwidth320 GB/s
ArchitectureRDNA 4
Launched2025-06
Launch price$299
Runs well8 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] | Tight | Q3_K_S | 5.2 GB | 7.5 GB |
| FLUX.1 [schnell] | Tight | Q3_K_S | 5.2 GB | 7.5 GB |
| FLUX.1 Kontext [dev] | Tight | Q3_K_M | 5.4 GB | 8.0 GB |
| FLUX.1 Krea [dev] | Tight | Q3_K_M | 5.4 GB | 7.7 GB |
| FLUX.1 Fill [dev] | Tight | Q3_K_S | 5.2 GB | 7.8 GB |
| FLUX.2 [dev] | Not practical | Q2_K | 12.9 GB | 16.2 GB |
| FLUX.2 [klein] 9B | Tight | Q3_K_M | 4.8 GB | 7.1 GB |
| FLUX.2 [klein] 4B | Runs well | FP8 | 4.1 GB | 5.9 GB |
| Krea 2 (Turbo) | Tight | Q2_K | 4.9 GB | 7.5 GB |
| Qwen-Image | Offload only | Q2_K | 7.1 GB | 9.9 GB |
| Qwen-Image-Edit (2511) | Offload only | Q4_K_M | 13.2 GB | 16.2 GB |
| Qwen-Image 2.1 | Runs | Q5_K_M | 5.0 GB | 7.3 GB |
| Z-Image Turbo | Runs | Q6_K | 5.9 GB | 7.9 GB |
| Z-Image (base) | Runs | Q5_K_M | 5.6 GB | 7.6 GB |
| Ideogram 4 | Offload only | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Offload only | Q4_1 | 7.4 GB | 10.0 GB |
| ERNIE-Image (Turbo) | Runs | Q4_K_M | 5.0 GB | 7.3 GB |
| HiDream-O1-Image | Offload only | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Runs well | INT8 | 4.2 GB | 6.0 GB |
| Lumina Image 2.0 | Runs well | 16-bit | 5.2 GB | 7.0 GB |
| HiDream-I1 (Full) | Offload only | Q2_K | 6.6 GB | 9.4 GB |
| HiDream-I1 (Dev) | Offload only | Q2_K | 6.6 GB | 9.4 GB |
| Stable Diffusion 3.5 Large | Runs | Q4_1 | 5.3 GB | 7.6 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs | Q4_K_M | 5.6 GB | 7.9 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 | Offload only | Q4_K_M | 11.3 GB | 14.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Offload only | Q4_K_M | 10.1 GB | 14.4 GB |
| Wan 2.1 T2V 1.3B | Runs well | 16-bit | 2.8 GB | 5.6 GB |
| Wan 2.1 I2V 14B 480P | Offload only | Q4_K_M | 11.3 GB | 15.6 GB |
| Wan 2.1 I2V 14B 720P | Offload only | Q4_K_M | 11.3 GB | 18.1 GB |
| Wan 2.1 VACE 14B | Offload only | Q4_K_M | 11.6 GB | 16.4 GB |
| Wan 2.2 T2V A14B | Offload only | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 I2V A14B | Offload only | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 TI2V 5B | Runs | Q5_K_M | 3.8 GB | 7.6 GB |
| Wan 2.2 Animate 14B | Offload only | Q4_K_M | 11.5 GB | 16.8 GB |
| Wan Animate 2 (14B) | Offload only | Q4_K_M | 11.3 GB | 16.6 GB |
| Wan 2.2 S2V 14B | Offload only | Q4_K_M | 13.9 GB | 18.7 GB |
| SCAIL-2 (character animation) | Offload only | Q4_K_M | 11.5 GB | 16.8 GB |
| HunyuanVideo (13B, original) | Offload only | Q4_K_M | 7.9 GB | 12.2 GB |
| LTX-Video 13B (0.9.8) | Offload only | Q2_K | 4.7 GB | 9.0 GB |
| HunyuanVideo 1.5 | Offload only | Q4_K_M | 5.1 GB | 9.4 GB |
| LTX-2 (19B) | Offload only | Q4_K_M | 12.8 GB | 17.6 GB |
| LTX-2.3 (22B) | Offload only | Q4_K_M | 14.3 GB | 19.1 GB |
| LTX-2.5 (22B) | Offload only | Q4_K_M | 15.1 GB | 19.9 GB |
| MiniMax H3 (33B) | Not practical | Q3_K_M | 15.6 GB | 21.4 GB |
| MiniMax H3 Pruned | Offload only | Q4_K_M | 11.6 GB | 17.4 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.