Open-weight text-to-image model from Qwen (Alibaba), released 2026-09-20, with a 7.1B visual-generation backbone under the Qwen Research licence (non-commercial research and evaluation only). It unifies text-to-image and image editing: a 32-layer single-stream DiT, native RGBA-transparent generation and editing, up to 10 reference images, native 2K output; community GGUF / INT8 builds are available for local use.
8
Quantized builds
2
Benchmark records
Quantized builds
Community and official quantized releases; "linked records" counts only benchmarks tied to that exact release.
| Publisher / repo | Revision | Format · quant | Total size | Linked records | Updated | Details |
|---|---|---|---|---|---|---|
| ViggleRepository | bb26a0f38e5fe6c124aaccc9187a87eed5d9ed13 | LoRA · v0.2.1-6step-r128 | 648.1 MB | No linked records | 2026-09-29 | View build |
| ViggleRepository | bb26a0f38e5fe6c124aaccc9187a87eed5d9ed13 | LoRA · v0.2.1-6step-r256 | 3.8 GB | No linked records | 2026-09-29 | View build |
| MesmerTechRepository | 868fc8b147de20f2c6e6835b694b2c4d9de9b5a6 | Safetensors · NVFP4 | 4.54 GB | 1 records | 2026-09-26 | View build |
| ViggleRepository | b77064be8b3f0b1a13c6a212067cb3d281c60c84 | LoRA · BF16 | 324.1 MB | No linked records | 2026-09-25 | View build |
| abenzerpsRepository | 40319fb15542f0ad22921e0124a191a8a935a60a | GGUF · Q4_K_M | 4.29 GB | No linked records | 2026-09-25 | View build |
| unslothRepository | 2c31ccd392b367a6637841a143813320a02dff55 | GGUF · Q4_K_M | 3.91 GB | No linked records | 2026-09-25 | View build |
| Comfy-OrgRepository | 9a44dbdb47cefd046be9c0a13476192f34c8db8e | safetensors · INT8 | 16.1 GB | 1 records | 2026-09-25 | View build |
| QwenRepository | 790c92633540aa0cb11d9abf19eb46d861714758 | safetensors · BF16 | 30.84 GB | No linked records | 2026-09-25 | View build |
Benchmark data
2 configurations
| Hardware | Framework | Quant | Gen time | VRAM used | Samples | Evidence |
|---|---|---|---|---|---|---|
| NVIDIA RTX 5090 | Nunchaku | NVFP4 rank-128 | 4.8 s | 18.74 GB | 1 | L0 Self-reported |
| NVIDIA RTX 5060 Ti 16GB | ComfyUI | INT8 ConvRot | 18.5 s | 15.44 GB | 1 | L0 Self-reported |
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