Can the RTX 4070 Ti Super 16 GB run Qwen-Image 2.1?
Yes. INT8 fits on the RTX 4070 Ti Super 16 GB with 6.4 GB to spare.
INT8 (7.3 GB) needs about 9.6 GB in use, so 6.4 GB of the 16 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_int8_convrot.safetensors INT8 · Comfy-Org/Qwen-Image-2.1 | models/diffusion_models | 7.3 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 | 17.3 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 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 14.2 GB | 16.5 GB | spills 0.5 GB | the original weights | Hugging Face → |
| INT8 ← SAFETENSORS · Comfy-Org | 7.3 GB | 9.6 GB | fits · 6.4 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · Abiray | 7.6 GB | 9.9 GB | fits · 6.1 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · Abiray | 5.9 GB | 8.2 GB | fits · 7.8 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · Abiray | 5.0 GB | 7.3 GB | fits · 8.7 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · Abiray | 4.2 GB | 6.5 GB | fits · 9.5 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · Abiray | 3.2 GB | 5.5 GB | fits · 10.5 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 4070 Ti Super 16 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 4070 Ti Super 16 GB
The RTX 4070 Ti Super 16 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)
16 GB GDDR6X · 256-bit · 672 GB/s · Ada Lovelace. 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 4070 Ti Super 16 GB?
INT8 (7.3 GB) from Comfy-Org/Qwen-Image-2.1.
How much do I need to download for Qwen-Image 2.1 on the RTX 4070 Ti Super 16 GB?
17.3 GB: qwen_image_2.1_int8_convrot.safetensors, qwen3vl_8b_int8_convrot.safetensors, qwen_image_2.1_vae_bf16.safetensors.