Model: Qwen-Image (family: qwen)
Parameters: 20B
Mixture-of-experts: no
Released: 2025-08
Modality: image
License: Apache-2.0 (commercial use: yes)
Architecture: mmdit
Backbone parameters: 20B
Backbone size (GB by quant): fp16: 40.9
fp8: 20.4
q8: 21.8
q4: 13.1
q2: 7.06
Components:
name: Qwen2.5-VL 7B text encoder
fp16_gb: 16.6
fp8_gb: 9.38
offloaded: yes
VAE size: 0.25 GB
Native resolution: 1328×1328
Sampling steps: 20-50
Recommended memory: gb: 14
quant: Q4_K_M GGUF
No-offload memory: 57 GB
Offload floor: 3 GB
Device classes: mac
nvidia
amd
Tools: ComfyUI
Nunchaku (SVDQuant 4-bit)
Notes: 20B MMDiT with a 7B Qwen2.5-VL text encoder. The encoder is offloaded after prompt-encoding, so the Q4_K_M GGUF backbone (13.1GB) sustains ~14GB during denoising, validated on a 16GB RTX A4000. Full bf16 with the encoder resident is ~57GB (multi-GPU). Nunchaku SVDQuant 4-bit can offload to ~3GB VRAM, slowly. Apache-2.0. Sources: Qwen-Image HF card, city96 Qwen-Image GGUF, ComfyUI Qwen-Image tutorial, sandner.art GGUF benchmark.