RTX 3050 Ti Laptop 4 GB for local AI
Which image and video models run on the RTX 3050 Ti Laptop 4 GB, which file to download for each, and how much VRAM they need.
Specs: www.notebookcheck.net · launch: www.notebookcheck.net
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Offload only | Q4_K_S | 6.8 GB | 9.1 GB |
| FLUX.1 [schnell] | Offload only | Q4_K_S | 6.8 GB | 9.1 GB |
| FLUX.1 Kontext [dev] | Offload only | Q4_K_M | 6.9 GB | 9.5 GB |
| FLUX.1 Krea [dev] | Offload only | Q4_K_M | 6.9 GB | 9.2 GB |
| FLUX.1 Fill [dev] | Offload only | Q4_K_S | 6.8 GB | 9.4 GB |
| FLUX.2 [dev] | Not practical | Q2_K | 12.9 GB | 16.2 GB |
| FLUX.2 [klein] 9B | Offload only | Q4_K_M | 5.9 GB | 8.2 GB |
| FLUX.2 [klein] 4B | Tight | Q3_K_M | 2.1 GB | 3.9 GB |
| Krea 2 (Turbo) | Offload only | Q4_K_M | 7.5 GB | 10.1 GB |
| Qwen-Image | Not practical | Q2_K | 7.1 GB | 9.9 GB |
| Qwen-Image-Edit (2511) | Not practical | Q2_K | 7.5 GB | 10.5 GB |
| Qwen-Image 2.1 | Offload only | Q3_K_M | 3.2 GB | 5.5 GB |
| Z-Image Turbo | Offload only | Q2_K | 3.6 GB | 5.6 GB |
| Z-Image (base) | Offload only | Q4_K_M | 5.1 GB | 7.1 GB |
| Ideogram 4 | Not practical | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Offload only | Q4_1 | 7.4 GB | 10.0 GB |
| ERNIE-Image (Turbo) | Offload only | Q2_K | 3.2 GB | 5.5 GB |
| HiDream-O1-Image | Not practical | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Offload only | INT8 | 4.2 GB | 6.0 GB |
| Lumina Image 2.0 | Runs | Q6_K | 2.1 GB | 3.9 GB |
| HiDream-I1 (Full) | Not practical | Q2_K | 6.6 GB | 9.4 GB |
| HiDream-I1 (Dev) | Not practical | Q2_K | 6.6 GB | 9.4 GB |
| Stable Diffusion 3.5 Large | Offload only | Q4_1 | 5.3 GB | 7.6 GB |
| Stable Diffusion 3.5 Medium | Runs | Q5_K_M | 2.1 GB | 3.9 GB |
| Chroma1-HD | Offload only | Q2_K | 3.4 GB | 5.7 GB |
| SDXL 1.0 | Offload only | 16-bit | 6.9 GB | 7.1 GB |
| Illustrious XL / Pony (SDXL anime) | Runs | Q5_K_M | 1.8 GB | 3.8 GB |
| Stable Diffusion 1.5 | Runs well | 16-bit | 2.1 GB | 3.3 GB |
| HunyuanImage 2.1 | Not practical | Q2_K | 7.3 GB | 10.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Not practical | Q3_K_M | 7.6 GB | 11.9 GB |
| Wan 2.1 T2V 1.3B | Runs | Q6_K | 1.2 GB | 4.0 GB |
| Wan 2.1 I2V 14B 480P | Not practical | Q3_K_M | 8.6 GB | 12.9 GB |
| Wan 2.1 I2V 14B 720P | Not practical | Q3_K_M | 8.6 GB | 15.4 GB |
| Wan 2.1 VACE 14B | Not practical | Q3_K_S | 7.8 GB | 12.6 GB |
| Wan 2.2 T2V A14B | Not practical | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 I2V A14B | Not practical | Q2_K | 5.3 GB | 9.6 GB |
| Wan 2.2 TI2V 5B | Offload only | Q2_K | 1.9 GB | 5.7 GB |
| Wan 2.2 Animate 14B | Not practical | Q2_K | 6.5 GB | 11.8 GB |
| Wan Animate 2 (14B) | Not practical | Q2_K | 6.5 GB | 11.8 GB |
| Wan 2.2 S2V 14B | Not practical | Q2_K | 9.5 GB | 14.3 GB |
| SCAIL-2 (character animation) | Not practical | Q2_K | 7.3 GB | 12.6 GB |
| HunyuanVideo (13B, original) | Offload only | Q4_K_M | 7.9 GB | 12.2 GB |
| LTX-Video 13B (0.9.8) | Not practical | 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) | Not practical | Q2_K | 8.1 GB | 12.9 GB |
| LTX-2.3 (22B) | Not practical | Q2_K | 8.3 GB | 13.1 GB |
| LTX-2.5 (22B) | Not practical | Q2_K | 8.8 GB | 13.6 GB |
| MiniMax H3 (33B) | Not practical | Q3_K_M | 15.6 GB | 21.4 GB |
| MiniMax H3 Pruned | Not practical | Q3_K_M | 8.9 GB | 14.7 GB |
Calculated from real file sizes plus working memory. How the numbers work.
02Good to know
The RTX 3050 Ti Laptop 4 GB (Ampere) 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. As a laptop GPU it runs at a lower power limit than desktop cards (35–80 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.
03Measured and reported results
No measured results yet. Send yours.