Can the RTX 4070 12 GB run Qwen-Image 2.1?
Yes, but only just: INT8 leaves 2.4 GB free on the RTX 4070 12 GB.
Take INT8 (7.3 GB). In use it comes to about 9.6 GB, with 2.4 GB left over on 12 GB.
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 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 14.2 GB | 16.5 GB | 4.5 GB too big | the original weights | Hugging Face → |
| INT8 ← SAFETENSORS · Comfy-Org | 7.3 GB | 9.6 GB | fits · 2.4 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · Abiray | 7.6 GB | 9.9 GB | fits · 2.1 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · Abiray | 5.9 GB | 8.2 GB | fits · 3.8 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · Abiray | 5.0 GB | 7.3 GB | fits · 4.7 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · Abiray | 4.2 GB | 6.5 GB | fits · 5.5 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · Abiray | 3.2 GB | 5.5 GB | fits · 6.5 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
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| reported | Qwen-Image-2.1 int8 convrot + qwen3vl_8b_int8 convrot TE + VAE bf16 · 1024x1024 · 25 steps “1024x1024・25ステップ（公式ワークフロー相当） | 14.0 秒” ComfyUI, RTX 4070 12GB with partial offload (17GB weights); same table: 12 steps 9.6 s, 2048x2048 20 steps 90.5 s; repo date not shown (Qwen-Image 2.1 era, 2026) | 14 s / image | — | — | github.com → |
| reported | Qwen Image 2.1 INT8 ConvRot · 832x1248 · 25 steps “「全体の所要時間」で見ると、平均で32.63秒から19.83秒へ（約39.2%短縮）… GPU全体のVRAMピーク：11.19 GiB → 11.28 GiB” ComfyUI, RTX 4070 12GB, Euler/simple CFG 1; 32.63 s = standard total time (19.83 s with Spectrum speedup node); VRAM in GiB | 32.63 s / image | 11.19 GB | 2026-09-24 | note.com → |
Other people's numbers are copied as published, with a link. Send yours.
04About the RTX 4070 12 GB
The RTX 4070 12 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.)
12 GB GDDR6X · 192-bit · 504 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 12 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 12 GB?
17.3 GB: qwen_image_2.1_int8_convrot.safetensors, qwen3vl_8b_int8_convrot.safetensors, qwen_image_2.1_vae_bf16.safetensors.