Can the RTX 5070 12 GB run Mage-Flow (Microsoft)?
Yes, but only just: 16-bit leaves 2.0 GB free on the RTX 5070 12 GB.
16-bit (8.2 GB) fits with only 2.0 GB to spare (about 10.0 GB of 12 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | mage_flow_bf16.safetensors 16-bit · Comfy-Org/Mage-Flow | models/diffusion_models | 8.2 GB | Download → |
| Text encoder | qwen3vl_4b_bf16.safetensors Qwen3-VL 4B BF16 · Comfy-Org/Mage-Flow | models/text_encoders | 8.9 GB | Download → |
| VAE | mage_flow_vae_bf16.safetensors Mage-Flow VAE · Comfy-Org/Mage-Flow | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 17.5 GB | |||
Sizes from Hugging Face, 2026-10-01.
02Every Mage-Flow file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 8.2 GB | 10.0 GB | fits · 2.0 GB spare | the original weights | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 4.2 GB | 6.0 GB | fits · 6.0 GB spare | practically identical to the original | Hugging Face → |
“Needed” adds 1 GB of working memory for Mage-Flow 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 Mage-Flow on a RTX 5070 12 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 5070 12 GB
The RTX 5070 12 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.
12 GB GDDR7 · 192-bit · 672 GB/s · Blackwell. Everything that runs on it →
05Questions
How much VRAM does Mage-Flow need?
Around 6.0 GB with the smallest file (INT8) and 6.0 GB with an 8-bit file (INT8). The full 16-bit file needs about 10.0 GB.
Which Mage-Flow file should I download for the RTX 5070 12 GB?
16-bit (8.2 GB) from Comfy-Org/Mage-Flow.
How much do I need to download for Mage-Flow on the RTX 5070 12 GB?
17.5 GB: mage_flow_bf16.safetensors, qwen3vl_4b_bf16.safetensors, mage_flow_vae_bf16.safetensors.