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This repository was archived by the owner on Jun 25, 2026. It is now read-only.
Portable Diffusion becomes very sluggish on a laptop with a 4GB NVIDIA GPU. During generation, the whole Windows system slows down badly enough that it feels practically unusable for normal laptop work.
Hardware / environment
OS: Windows 11 laptop
GPU: NVIDIA GeForce GTX 1650, 4GB VRAM
Driver/CUDA shown locally: NVIDIA driver 596.36, CUDA 13.2
Backend used: CUDA
CPU threads tried: 4
Model tested: CyberRealistic_V8_FP16.safetensors
Command used
C:\Users\Srika\OneDrive\Documents\Portable-Diffusion\app\backend\win\cuda\sd-cuda.exe--listen-port 8080--model "C:\Users\Srika\OneDrive\Documents\Portable-Diffusion\app\models\CyberRealistic_V8_FP16.safetensors"--steps 20--cfg-scale 7--sampling-method euler_a --threads 4--backend cuda0 --params-backend cpu --rng cuda --sampler-rng cuda
Actual behavior
Generation starts, but the laptop becomes extremely sluggish.
The UI/system responsiveness drops heavily.
On a 4GB GPU laptop, the app does not feel practically usable.
Expected behavior
It would be helpful if Portable Diffusion either:
Provides a lower-memory / low-VRAM preset for 4GB GPUs, or
Warns users that 4GB GPUs may cause system-wide slowdown, or
This may not be a bug in the CUDA backend itself, but it would be useful to document recommended settings or minimum practical hardware requirements for 4GB GPU laptops.
Summary
Portable Diffusion becomes very sluggish on a laptop with a 4GB NVIDIA GPU. During generation, the whole Windows system slows down badly enough that it feels practically unusable for normal laptop work.
Hardware / environment
CyberRealistic_V8_FP16.safetensorsCommand used
Actual behavior
Expected behavior
It would be helpful if Portable Diffusion either:
Notes
This may not be a bug in the CUDA backend itself, but it would be useful to document recommended settings or minimum practical hardware requirements for 4GB GPU laptops.