Welcome to my ๐ซ๐ Friendly Flux 2 Klein
โจ Less mess, more magic
The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second. Built for applications that require real-time image generation without sacrificing quality.
FLUX.2 [klein] 9B is a 9 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities.
Matches or exceeds models 5x its sizeโin under half a second. Built on a 9B flow model with 8B Qwen3 text embedder, step-distilled to 4 inference steps.
Generate 2048 x 2048 images even with 8GB VRAM!
I offer my workflow that requires at least 6GB of video memory and at least 32GB of RAM. No Tritons or SageAttention! Simply configure the required amount of video memory dumped to RAM in the "VRAM Optimizer+" node.
The latest version of ComfyUI is required.
๐ป System requirements:
Minimum system requirements:
RTX 3000-s, 6GB VRAM, 32GB+ RAM, 8-core processor, SSD, latest ComfyUI
๐ Detailed tips and links to models in the workflow
โจ Workflow features:
Extremely user-friendly interface
Maximum performance even on low-end systems with at least 6GB of VRAM
Enchance details parameter
Support for up to 3 Lora
Detailed tooltips, including recommended samplers for best quality
Manual random seed for complete control over generations
๐ค๐๐ผ Thanks to Black Forest Labs Team
Original repo โ GitHub
Description
Extremely user-friendly interface with VRAM optimization for systems with 6GB+ VRAM
Workflow based on Flux 2 Klein 9B (distilled) 4-steps model