Can NVIDIA GeForce RTX 4060 Ti 8GB run FLUX.1 Dev?
12B parameter Image Gen model on 8GB GDDR6
Barely — requires CPU/RAM offloading
~1-3 tok/s (offload)
SpeedVery slow — expect 1-3 tokens/sec
QualityQuality is fine but the speed makes it impractical for interactive use
VRAM Requirements
FLUX.1 Dev is a 12B parameter model. At full precision (FP16), it requires 32GB of VRAM. Your NVIDIA GeForce RTX 4060 Ti 8GB only has 8GB — not enough even at maximum compression.
FP16 (Full Precision)32GB (need 24GB more)
Maximum quality, no quantization
Q8 (8-bit)16GB (need 8GB more)
Near-lossless, ~50% size reduction
Q4 (4-bit)10GB (need 2GB more)
Good quality, ~75% size reduction
Your GPU VRAM: 8GB GDDR6 at 288 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
How to Set It Up
Step 1: Install ComfyUI
git clone https://github.com/comfyanonymous/ComfyUI.git && cd ComfyUI && pip install -r requirements.txtComfyUI 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.pyOpen http://localhost:8188 in your browser. You can use the full precision weights.
NVIDIA GeForce RTX 4060 Ti 8GB Specs
VRAM8GB GDDR6
Memory Bandwidth288 GB/s
TDP160W
CUDA Cores4,352
Street Price~$370
AI Rating3/10
Other GPUs That Run FLUX.1 Dev
Other Image Gen Models on NVIDIA GeForce RTX 4060 Ti 8GB
About FLUX.1 Dev
State-of-the-art image generation. 16GB comfortable at FP8.
Category: Image Gen · Parameters: 12B · CUDA required: Recommended