Realistic, cinematic image generation using Flux Dev / Schnell / Kontext on a 4 GB VRAM laptop. Two samplers + Torch TeaCache for speed. Semi-realistic results in ~30 steps.

Model Downloads

Flux models (not VAE/CLIP):

Model	Link
FLUX.1 Dev	https://huggingface.co/city96/FLUX.1-dev-gguf
FLUX.1 Schnell	https://huggingface.co/city96/FLUX.1-schnell-gguf
FLUX.1 Kontext	https://huggingface.co/QuantStack/FLUX.1-Kontext-dev-GGUF
PixelWave	https://huggingface.co/mikeyandfriends/PixelWave_FLUX.1-dev_03

VAE: https://huggingface.co/ffxvs/vae-flux/blob/main/ae.safetensors

CLIP:

Model Guide

Model	Best for
Kontext	Quality + image editing
Dev	Quality generation
Schnell	Speed, fewer steps
PixelWave	Best realism

Quantisation

Quant	Notes
q8	Best quality
q5	Best quality/speed trade-off
Below q5	Less VRAM, lower quality

Changelog

Version	Notes
v2.2	Fixed settings, Torch Compile
v2.0	Two-pass setup
v1.0	Initial release

The-frizzy1/Flux-Kontext-GGUF-4GB

Flux Kontext GGUF — 4GB VRAM, 2-Pass + LoRA

What This Is

Model Downloads

Model Guide

Quantisation

Changelog

The-frizzy1/
Flux-Kontext-GGUF-4GB