Can the RTX 5070 Ti 16 GB run Krea 2 (Turbo)?
Yes, but only just: FP8 leaves 0.3 GB free on the RTX 5070 Ti 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
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| reported | Krea 2 Turbo (ComfyUI release, 17.8GB total download) · 1024x1024 · 8 steps “generating a 1024x1024 pixel image took 16-25 seconds when the prompts were rewritten, and approximately 9-15 seconds when the same prompts were reused” GIGAZINE review, ComfyUI; range only (9-15 s same prompt, 16-25 s new prompt incl. text encoding) | 9–15 s / image | — | 2026-06-24 | gigazine.net → |
Other people's numbers are copied as published, with a link. Send yours.
04About the RTX 5070 Ti 16 GB
The RTX 5070 Ti 16 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.
16 GB GDDR7 · 256-bit · 896 GB/s · Blackwell. 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 5070 Ti 16 GB?
FP8 (13.1 GB) from Comfy-Org/Krea-2.
FP8 or Q8_0 for Krea 2 on the RTX 5070 Ti 16 GB?
FP8 (13.1 GB): the RTX 5070 Ti 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 5070 Ti 16 GB?
18.6 GB: krea2_turbo_fp8_scaled.safetensors, qwen3vl_4b_fp8_scaled.safetensors, qwen_image_vae.safetensors.