Can NVIDIA H100 80GB run FLUX.1 Dev?

12B parameter Image Gen model on 80GB HBM3

Yes — runs at full precision
~10.3-14.2 img/min
SpeedFastest possible inference
QualityMaximum quality, no degradation

VRAM Requirements

FLUX.1 Dev is a 12B parameter model. At full precision (FP16), it requires 32GB of VRAM. Your NVIDIA H100 80GB has 80GB — enough to run it without any quantization.

FP16 (Full Precision)32GB (48GB free)

Maximum quality, no quantization

Q8 (8-bit)16GB (64GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)10GB (70GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 80GB HBM3 at 3350 GB/s bandwidth
Recommended system RAM: 160GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA H100 80GB runs FLUX.1 Dev at full precision with room to spare. You can generate high-resolution images, use complex prompts, and batch multiple generations. Expect fast generation times at 1024x1024 and above.

How to Set It Up

Step 1: Install ComfyUI

git clone https://github.com/comfyanonymous/ComfyUI.git && cd ComfyUI && pip install -r requirements.txt

ComfyUI is the recommended UI for Stable Diffusion and FLUX models.

Step 2: Download the model

Download FLUX.1 Dev weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 32GB at full precision.

Step 3: Launch and generate

python main.py

Open http://localhost:8188 in your browser. You can use the full precision weights.

NVIDIA H100 80GB Specs

VRAM80GB HBM3
Memory Bandwidth3350 GB/s
TDP350W
CUDA Cores14,592
Street Price~$22000
AI Rating10/10

About FLUX.1 Dev

State-of-the-art image generation. 16GB comfortable at FP8.

Category: Image Gen · Parameters: 12B · CUDA required: Recommended