Can the RTX 5060 Ti 8 GB run Qwen-Image 2.1?
Not at full quality. The 16-bit and 8-bit files are too big for the RTX 5060 Ti 8 GB; the largest that fits is Q5_K_M (5.0 GB).
Q5_K_M (5.0 GB) fits with only 0.7 GB to spare (about 7.3 GB of 8 GB). Quality: close; small differences in fine detail. For better quality, Q6_K (5.9 GB) also runs, with about 0.2 GB spilling into system RAM - a little slower, still practical.
Also try the INT8 file (7.3 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | qwen_image_2.1_Q5_K_M.gguf Q5_K_M · Abiray/Qwen-Image-2.1-GGUF | models/unet | 5.0 GB | Download → |
| Text encoder | qwen3vl_8b_int8_convrot.safetensors Qwen3-VL 8B INT8 · Comfy-Org/Qwen-Image-2.1 | models/text_encoders | 9.4 GB | Download → |
| VAE | qwen_image_2.1_vae_bf16.safetensors Qwen-Image 2.1 VAE · Comfy-Org/Qwen-Image-2.1 | models/vae | 0.7 GB | Download → |
| Total download · keep about the same free on disk | 15.0 GB | |||
Alternatives: Qwen3-VL 8B BF16 (17.5 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: INT8 workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Qwen-Image 2.1 file on 8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 14.2 GB | 16.5 GB | 8.5 GB too big | the original weights | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 7.3 GB | 9.6 GB | spills 1.6 GB | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · Abiray | 7.6 GB | 9.9 GB | spills 1.9 GB | practically identical to the original | Hugging Face → |
| Q6_K GGUF · Abiray | 5.9 GB | 8.2 GB | spills 0.2 GB | very close to the original | Hugging Face → |
| Q5_K_M ← GGUF · Abiray | 5.0 GB | 7.3 GB | fits · 0.7 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · Abiray | 4.2 GB | 6.5 GB | fits · 1.5 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · Abiray | 3.2 GB | 5.5 GB | fits · 2.5 GB spare | noticeable loss of detail | Hugging Face → |
“Needed” adds 1.5 GB of working memory for Qwen-Image 2.1 and a 0.8 GB reserve. Sizes 2026-10-01.
03The text encoder
At 9.4 GB even the smallest Qwen3-VL 8B file is too big for 8 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 17.5 GB, INT8 9.4 GB. Why the encoder does not count against VRAM →
04Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Qwen-Image 2.1 on a RTX 5060 Ti 8 GB, send your time per image and peak VRAM and it will appear here, credited.
05With more VRAM
With 10 GB you could run Qwen-Image 2.1 at 8-bit or better (INT8, 7.3 GB) with no offloading: for example on the RTX 3080 10 GB.
What changes from the RTX 5060 Ti 8 GB to the RTX 5060 Ti 16 GB →
06About the RTX 5060 Ti 8 GB
The RTX 5060 Ti 8 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.
8 GB GDDR7 · 128-bit · 448 GB/s · Blackwell. Everything that runs on it →
07Questions
How much VRAM does Qwen-Image 2.1 need?
Around 5.5 GB with the smallest file (Q3_K_M) and 9.6 GB with an 8-bit file (INT8). The full 16-bit file needs about 16.5 GB.
Which Qwen-Image 2.1 file should I download for the RTX 5060 Ti 8 GB?
Q5_K_M (5.0 GB) from Abiray/Qwen-Image-2.1-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
How much do I need to download for Qwen-Image 2.1 on the RTX 5060 Ti 8 GB?
15.0 GB: qwen_image_2.1_Q5_K_M.gguf, qwen3vl_8b_int8_convrot.safetensors, qwen_image_2.1_vae_bf16.safetensors.