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Qwen-Image-2.1 is an open-weights image model from Alibaba's Qwen team that handles text-to-image generation and image editing in one model. Its visual generation component has 7B parameters across 32 Single-Stream DiT layers. It generates regular and transparent RGBA images, accepts up to 10 reference images for editing, and outputs up to 2752x1536. It is released under the Qwen Research License Agreement.
A strong 7.12B-parameter dense image generator from Qwen. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Newly released, so production-readiness is still being shaken out.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
Access model weights, configuration files, and documentation.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 4.9 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 4.9 GB |
| AMD Instinct MI300XAMD | SS | 4.9 GB |
| AMD Instinct MI325XAMD | SS | 4.9 GB |
| AMD Instinct MI355XAMD | SS | 4.9 GB |
Cheapest current cloud rentals with at least 5 GB VRAM, refreshed hourly.
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| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 2080 TiVast.ai · Spot · 11 GB VRAM | $0.04 |
NVIDIA GeForce RTX 4060Vast.ai · Spot · 8 GB VRAM | $0.04 |
NVIDIA GeForce RTX 3060Vast.ai · Spot · 12 GB VRAM | $0.05 |
NVIDIA GeForce RTX 3080 TiVast.ai · Spot · 12 GB VRAM | $0.05 |
NVIDIA GeForce RTX 3060 TiVast.ai · Spot · 8 GB VRAM | $0.05 |
Per-GPU rate across RunPod, the Vast.ai marketplace, DigitalOcean, and Vultr.
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