Can the RTX 5090 32 GB run Qwen-Image 2.1?
Yes. 16-bit fits on the RTX 5090 32 GB with 15.5 GB to spare.
16-bit (14.2 GB) needs about 16.5 GB in use, so 15.5 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | qwen_image_2.1_bf16.safetensors 16-bit · Comfy-Org/Qwen-Image-2.1 | models/diffusion_models | 14.2 GB | Download → |
| Text encoder | qwen3vl_8b_int8_convrot.safetensors Qwen3-VL 8B INT8 · Comfy-Org/Qwen-Image-2.1 | models/text_encoders | 9.4 GB | Download → |
| VAE | qwen_image_2.1_vae_bf16.safetensors Qwen-Image 2.1 VAE · Comfy-Org/Qwen-Image-2.1 | models/vae | 0.7 GB | Download → |
| Total download · keep about the same free on disk | 24.3 GB | |||
Alternatives: Qwen3-VL 8B BF16 (17.5 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: INT8 workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Qwen-Image 2.1 file on 32 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 14.2 GB | 16.5 GB | fits · 15.5 GB spare | the original weights | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 7.3 GB | 9.6 GB | fits · 22.4 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · Abiray | 7.6 GB | 9.9 GB | fits · 22.1 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · Abiray | 5.9 GB | 8.2 GB | fits · 23.8 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · Abiray | 5.0 GB | 7.3 GB | fits · 24.7 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · Abiray | 4.2 GB | 6.5 GB | fits · 25.5 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · Abiray | 3.2 GB | 5.5 GB | fits · 26.5 GB spare | noticeable loss of detail | Hugging Face → |
“Needed” adds 1.5 GB of working memory for Qwen-Image 2.1 and a 0.8 GB reserve. Sizes 2026-10-01.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Qwen-Image 2.1 on a RTX 5090 32 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 5090 32 GB
The RTX 5090 32 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.
32 GB GDDR7 · 512-bit · 1792 GB/s · Blackwell. Everything that runs on it →
05Questions
How much VRAM does Qwen-Image 2.1 need?
Around 5.5 GB with the smallest file (Q3_K_M) and 9.6 GB with an 8-bit file (INT8). The full 16-bit file needs about 16.5 GB.
Which Qwen-Image 2.1 file should I download for the RTX 5090 32 GB?
16-bit (14.2 GB) from Comfy-Org/Qwen-Image-2.1.
How much do I need to download for Qwen-Image 2.1 on the RTX 5090 32 GB?
24.3 GB: qwen_image_2.1_bf16.safetensors, qwen3vl_8b_int8_convrot.safetensors, qwen_image_2.1_vae_bf16.safetensors.