RTX 2080 Ti 11 GB for local AI
Which image and video models run on the RTX 2080 Ti 11 GB, which file to download for each, and how much VRAM they need.
VRAM11 GB
MemoryGDDR6
Bus352-bit
Bandwidth616 GB/s
ArchitectureTuring
Launched2018-09
Launch price$999
Runs well14 of 49
Specs: www.gigabyte.com · launch: www.nvidia.com
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Runs | Q5_K_S | 8.3 GB | 10.6 GB |
| FLUX.1 [schnell] | Runs | Q5_K_S | 8.3 GB | 10.6 GB |
| FLUX.1 Kontext [dev] | Runs | Q4_K_M | 6.9 GB | 9.5 GB |
| FLUX.1 Krea [dev] | Runs | Q5_K_M | 8.4 GB | 10.7 GB |
| FLUX.1 Fill [dev] | Runs | Q5_K_S | 8.3 GB | 10.9 GB |
| FLUX.2 [dev] | Offload only | Q4_K_M | 20.1 GB | 23.4 GB |
| FLUX.2 [klein] 9B | Runs | Q6_K | 7.9 GB | 10.2 GB |
| FLUX.2 [klein] 4B | Runs well | 16-bit | 7.8 GB | 9.6 GB |
| Krea 2 (Turbo) | Runs | Q4_K_M | 7.5 GB | 10.1 GB |
| Qwen-Image | Tight | Q2_K | 7.1 GB | 9.9 GB |
| Qwen-Image-Edit (2511) | Tight | Q2_K | 7.5 GB | 10.5 GB |
| Qwen-Image 2.1 | Runs well | Q8_0 | 7.6 GB | 9.9 GB |
| Z-Image Turbo | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Z-Image (base) | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Ideogram 4 | Offload only | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Runs | Q4_1 | 7.4 GB | 10.0 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) | Tight | Q2_K | 6.6 GB | 9.4 GB |
| HiDream-I1 (Dev) | Tight | Q2_K | 6.6 GB | 9.4 GB |
| Stable Diffusion 3.5 Large | Runs | Q5_1 | 6.3 GB | 8.6 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs | Q6_K | 7.7 GB | 10.0 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 | Tight | Q2_K | 7.3 GB | 10.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Offload only | Q3_K_M | 7.6 GB | 11.9 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 | Q3_K_M | 8.6 GB | 12.9 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 | Q3_K_S | 7.8 GB | 12.6 GB |
| Wan 2.2 T2V A14B | Tight | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 I2V A14B | Tight | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 TI2V 5B | Runs well | Q8_0 | 5.4 GB | 9.2 GB |
| Wan 2.2 Animate 14B | Offload only | Q2_K | 6.5 GB | 11.8 GB |
| Wan Animate 2 (14B) | Offload only | Q2_K | 6.5 GB | 11.8 GB |
| Wan 2.2 S2V 14B | Offload only | Q4_K_M | 13.9 GB | 18.7 GB |
| SCAIL-2 (character animation) | Offload only | Q2_K | 7.3 GB | 12.6 GB |
| HunyuanVideo (13B, original) | Tight | Q3_K_M | 6.2 GB | 10.5 GB |
| LTX-Video 13B (0.9.8) | Tight | Q3_K_M | 6.5 GB | 10.8 GB |
| HunyuanVideo 1.5 | Runs | Q5_K_M | 6.1 GB | 10.4 GB |
| LTX-2 (19B) | Offload only | Q2_K | 8.1 GB | 12.9 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) | Offload only | Q4_K_M | 19.9 GB | 25.7 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
The RTX 2080 Ti 11 GB (Turing) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain — Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.
03Measured and reported results
No measured results yet. Send yours.