ComfyUI beginner friendly Flux.2 Klein 9B GGUF In & Outpaint Workflows with Easy Prompt Saver by Sarcastic TOFU

This is a set of very simple In & Outpaint Workflows that helps you to save your Flux.2 Klein 9B GGUF Inpainting or Outpainting Generation Data based on only a single reference image into a human readable .txt file. This will automatically get and write your metadata to the .txt file. This workflow set has two files - FLUX2K_9B_Painting_v1.0 (Default Dimensions).json is your inpainting workflow and FLUX2K_9B_Painting_v1.0 (Custom Dimensions).json is your outpainting workflow. You will find all the saved prompt files that it generated with the images inside the Archive (.Zip) that has this workflow set. Also with the Image Saver Simple node used you may embed the workflow itself with each saved image or save the image and workflow for your work separately.The Flux.2 Klein 4B and 9B models are a new family of high-speed AI image generators that use a "rectified flow" architecture to unify image generation and professional-grade editing into a single, compact package. These models are significantly faster than older versions because they use "step-distillation," which allows them to create high-quality images in just 4 steps—achieving sub-second speeds on modern hardware—rather than the dozens of steps required by previous models. The 4B variant is released under a permissive Apache 2.0 License for both personal and commercial use, while the more powerful 9B variant uses a Non-Commercial License intended for research and personal projects. Both models support 11 native aspect ratios ranging from 1:1 square to 21:9 ultrawide and 9:21 vertical, and they can produce sharp images up to 4 megapixels (such as 2048x2048). To make them even more accessible, there are Q (Quantized) models like the FP8 (8-bit) and NVFP4 (4-bit) versions, which reduce the "brain size" of the model to save memory; specifically, the FP8 version is about 1.6x faster and uses 40% less VRAM, while the NVFP4 version is up to 2.7x faster and uses 55% less VRAM. While you can run the Flux.2 Klein 4B GGUF