Can the RTX 4070 12 GB run Mage-Flow (Microsoft)?
Yes, but only just: 16-bit leaves 2.0 GB free on the RTX 4070 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 4070 12 GB, send your time per image and peak VRAM and it will appear here, credited.
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 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 4070 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 4070 12 GB?
17.5 GB: mage_flow_bf16.safetensors, qwen3vl_4b_bf16.safetensors, mage_flow_vae_bf16.safetensors.