Home/GPUs/NVIDIA GeForce RTX 5090 32GB/ComfyUI
GPU × ComfyUI compatibility

Can NVIDIA GeForce RTX 5090 32GB run ComfyUI?

Compare verified SDXL and FLUX workflow data against this GPU's VRAM and see when memory pressure or offloading may matter.

VRAM

32 GB

Architecture

Blackwell

Acceleration

CUDA

Windows 11

Supported

Interactive check

Try a ComfyUI workflow on this GPU

Compare the current verified image workflows against this GPU's recorded VRAM. Model file size is not treated as an official VRAM requirement.

Memory signal

Comfortable planning headroom

GPU VRAM

32 GB

Core model file

6.94 GB

Precision

fp16

What this means

The core model file is smaller than this GPU's VRAM with the planning buffer used by this tool.

Actual memory use changes with resolution, batch size, VAE, ControlNet, other nodes, loaded models, and ComfyUI's memory management.

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Recorded workflows

ComfyUI workflow fit on 32 GB VRAM

The core model file is only one memory signal. It is not an official ComfyUI VRAM minimum, because workflow memory use can change substantially.

SDXL Base

1024 × 1024 reference workflow

Comfortable planning headroom

Core model file

6.94 GB

Precision

fp16

Reference size

1024 × 1024

  • The official ComfyUI SDXL example recommends 1024×1024 or a similar total pixel count.
  • The model file size is not an official VRAM requirement.
  • Actual memory use depends on workflow nodes, resolution, batch size, VAE, ControlNet, and other loaded models.

FLUX.1 Dev FP8

reference workflow

Comfortable planning headroom

Core model file

17.2 GB

Precision

fp8

Reference size

  • The official ComfyUI FLUX example provides an FP8 option specifically to reduce memory use.
  • FP8 can reduce memory use compared with the full-precision workflow, with a possible small quality tradeoff.
  • The core model file size is not an official VRAM requirement because ComfyUI can dynamically manage and offload model components.

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Also using local LLMs?

Check Ollama on this GPU

Compare Qwen and Gemma model fit against the same GPU.

Open Ollama compatibility

Evidence

Sources used for this page