What GPU do I need to run Qwen/Qwen-Image-Edit-2511?
20.4B parameters, published in BF16. View on Hugging Face
Set up Qwen-Image-Edit-2511Qwen-Image-Edit-2511 is published by Qwen on Hugging Face, with 264,885 downloads and 1,321 likes to date. It's a unlisted-architecture model built for image-to-image, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision times a flat 1.2 overhead for activations and fragmentation. The KV-cache grows with context and is not in that factor; it is listed per model below where the architecture is published. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 38.1 GB | 45.7 GB | RTX A6000 | 1 | $0.363/hr |
| cheaper alt. | RTX A5000 | 2 | $0.352/hr | ||
| FP8 (quantized) | 19.0 GB | 22.8 GB | RTX 4090 | 1 | $0.374/hr |
| cheaper alt. | RTX 4070 Super | 2 | $0.242/hr | ||
| INT4 (quantized) | 9.5 GB | 11.4 GB | RTX 3060 | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Qwen-Image-Edit-2511 at its published (BF16) precision: 1× RTX A6000, at $0.363/hr per GPU ($0.363/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Qwen-Image-Edit-2511: common questions
Can Qwen-Image-Edit-2511 run on a single GPU?
Yes, but not on a desktop card. At BF16 it needs 45.7 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 48.0 GB RTX A6000 at $0.363/hr.
What is the least VRAM Qwen-Image-Edit-2511 can run in?
11.4 GB, at INT4 (quantized), which fits a 12 GB card, against 45.7 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Does quantizing Qwen-Image-Edit-2511 lower the GPU bill?
Yes. At BF16 the cheapest live fit is one RTX A6000 at $0.363/hr. At INT4 (quantized) it drops to one RTX 3060 at $0.110/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More Qwen-Image models
- Qwen-Image (20.4B, BF16)
- Qwen-Image-2512 (20.4B, BF16)
- Qwen-Image-Bench (27.4B, BF16)
- Qwen-Image-2.1-viggle-turbo (7.1B, BF16)
- Qwen-Image-2.1 (7.1B, BF16)
More on Qwen-Image-Edit-2511
Fits on a 48 GB GPU at BF16: every model that fits in 48 GB.
Fits on a 24 GB GPU at FP8: every model that fits in 24 GB.
Fits on a 12 GB GPU at INT4: every model that fits in 12 GB.
Related reading: RTX A6000 pricing and specs, Fast diffusion inference on GPU VMs, and What AI inference is.
