Can the RTX 3060 Laptop 6 GB run Qwen-Image-Edit (2511)?
Not realistically: the smallest Qwen-Image-Edit file still needs about 10 GB.
Even the smallest file (Q2_K, 7.5 GB) needs about 10.5 GB, far beyond 6 GB. It may start with heavy offloading, but this is not a realistic everyday setup. Pick a smaller model or a GPU with more memory.
Also try the FP8 file (20.5 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 →
01With more VRAM
With 24 GB you could run Qwen-Image-Edit at 8-bit or better (FP8, 20.5 GB) with no offloading: for example on the RTX 4090 24 GB, RTX 3090 24 GB, RX 7900 XTX 24 GB.
What changes from the RTX 3060 Laptop 6 GB to the RTX 5060 Ti 16 GB →
02Every Qwen-Image-Edit file on 6 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 40.9 GB | 43.9 GB | 37.9 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · unsloth | 21.8 GB | 24.8 GB | 18.8 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 20.5 GB | 23.5 GB | 17.5 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · unsloth | 16.9 GB | 19.9 GB | 13.9 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · unsloth | 15.0 GB | 18.0 GB | 12.0 GB too big | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · unsloth | 13.2 GB | 16.2 GB | 10.2 GB too big | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · unsloth | 9.9 GB | 12.9 GB | 6.9 GB too big | noticeable loss of detail | Hugging Face → |
| Q2_K ← GGUF · unsloth | 7.5 GB | 10.5 GB | 4.5 GB too big | heavy loss; a last resort | Hugging Face → |
“Needed” adds 2.2 GB of working memory for Qwen-Image-Edit and a 0.8 GB reserve. Sizes 2026-10-01.
03What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | qwen-image-edit-2511-Q2_K.gguf Q2_K · unsloth/Qwen-Image-Edit-2511-GGUF | models/unet | 7.5 GB | Download → |
| Text encoder | qwen_2.5_vl_7b_fp8_scaled.safetensors Qwen2.5-VL 7B FP8 · Comfy-Org/Qwen-Image_ComfyUI | models/text_encoders | 9.4 GB | Download → |
| VAE | qwen_image_vae.safetensors Qwen-Image VAE · Comfy-Org/Qwen-Image_ComfyUI | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 17.1 GB | |||
Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q4_K_M + 4-step LoRA workflow (.json). Drag the file into ComfyUI. All workflows →
04The text encoder
At 9.4 GB even the smallest Qwen2.5-VL 7B file is too big for 6 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 16.6 GB, FP8 9.4 GB. Why the encoder does not count against VRAM →
05Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Qwen-Image-Edit on a RTX 3060 Laptop 6 GB, send your time per image and peak VRAM and it will appear here, credited.
06About the RTX 3060 Laptop 6 GB
The RTX 3060 Laptop 6 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 (60–115 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.
6 GB GDDR6 · 192-bit · Ampere · 60–115 W. Everything that runs on it →
07Questions
How much VRAM does Qwen-Image-Edit need?
Around 10.5 GB with the smallest file (Q2_K) and 23.5 GB with an 8-bit file (FP8). The full 16-bit file needs about 43.9 GB.
Which Qwen-Image-Edit file should I download for the RTX 3060 Laptop 6 GB?
Q2_K (7.5 GB) from unsloth/Qwen-Image-Edit-2511-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Qwen-Image-Edit on the RTX 3060 Laptop 6 GB?
Q8_0 (21.8 GB). The RTX 3060 Laptop 6 GB has no FP8 maths, so FP8 (20.5 GB) only saves memory and is a step further from the original.
How much do I need to download for Qwen-Image-Edit on the RTX 3060 Laptop 6 GB?
17.1 GB: qwen-image-edit-2511-Q2_K.gguf, qwen_2.5_vl_7b_fp8_scaled.safetensors, qwen_image_vae.safetensors.