Can the RTX 4080 Super 16 GB run Krea 2 (Turbo)?
Yes, but only just: FP8 leaves 0.3 GB free on the RTX 4080 Super 16 GB.
FP8 (13.1 GB) fits with only 0.3 GB to spare (about 15.7 GB of 16 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | krea2_turbo_fp8_scaled.safetensors FP8 · Comfy-Org/Krea-2 | models/diffusion_models | 13.1 GB | Download → |
| Text encoder | qwen3vl_4b_fp8_scaled.safetensors Qwen3-VL 4B FP8 · Comfy-Org/Krea-2 | models/text_encoders | 5.2 GB | Download → |
| VAE | qwen_image_vae.safetensors Qwen-Image VAE · Comfy-Org/Krea-2 | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 18.6 GB | |||
Alternatives: Qwen3-VL 4B BF16 (8.9 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 Krea 2 file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 26.3 GB | 28.9 GB | 12.9 GB too big | the original weights | Hugging Face → |
| FP8 ← SAFETENSORS · Comfy-Org | 13.1 GB | 15.7 GB | fits · 0.3 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 13.5 GB | 16.1 GB | spills 0.1 GB | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · vantagewithai | 13.7 GB | 16.3 GB | spills 0.3 GB | practically identical to the original | Hugging Face → |
| Q6_K GGUF · vantagewithai | 10.6 GB | 13.2 GB | fits · 2.8 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · vantagewithai | 8.9 GB | 11.5 GB | fits · 4.5 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · vantagewithai | 7.5 GB | 10.1 GB | fits · 5.9 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · vantagewithai | 6.0 GB | 8.6 GB | fits · 7.4 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · vantagewithai | 4.9 GB | 7.5 GB | fits · 8.5 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 1.8 GB of working memory for Krea 2 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 Krea 2 on a RTX 4080 Super 16 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 4080 Super 16 GB
The RTX 4080 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 · 736 GB/s · Ada Lovelace. Everything that runs on it →
05Questions
How much VRAM does Krea 2 need?
Around 7.5 GB with the smallest file (Q2_K) and 15.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 28.9 GB.
Which Krea 2 file should I download for the RTX 4080 Super 16 GB?
FP8 (13.1 GB) from Comfy-Org/Krea-2.
FP8 or Q8_0 for Krea 2 on the RTX 4080 Super 16 GB?
FP8 (13.1 GB): the RTX 4080 Super 16 GB computes it natively, while Q8_0 (13.7 GB) is unpacked on the fly.
How much do I need to download for Krea 2 on the RTX 4080 Super 16 GB?
18.6 GB: krea2_turbo_fp8_scaled.safetensors, qwen3vl_4b_fp8_scaled.safetensors, qwen_image_vae.safetensors.