ComfyUI beginner friendly Flux.2 Klein 4B ALL-in-One Text-to-Image Workflow with Easy Prompt Saver by Sarcastic TOFU
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This workflow helps you to save your Text to Image Generation Data into a human readable .txt file. This will automatically get and write your metadata to the .txt file. This is modified version of my earlier published Flux.2 Klein 4B GGUF Text-to-Image Workflow, this uses a neat Flux.2 Klein 4B ALL-in-One safetensor model to swap out the GGUF model but still can perform well on 8GB VRAM GPU (the publisher that published this also have a smaller AIO safetensor version that may run 4 to 6GB VRAM machines if you wanna try, also they published a AIO version aimed for 16 GB VRAM machines). If you know how to modify workflows you can also implement this human readable easy prompt saver trick to other workflows as well (not limited to just Flux.2 Klein). You will find all the saved prompt files that it generated with the images inside the Archive (.Zip) that has the workflow. Also with the Image Saver Simple node used you may embed the metadata with workflow itself or save the workflow for your work seperately.
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. Because of these optimizations, the 4B model can run on systems with as little as 8GB to 12GB of VRAM and can even operate (with the lowest Flux.2 Klein 4B Q2 or Q3 GGUFs) on very low grade 6GB, 4GB, 2GB VRAM GPUs or even on modern integrated graphics (iGPUs) from the latest laptop or mini PC chips.
You can download your necessary AIO model and LORA used from CivitAI (Details are mentioned below). Make sure you have latest enough ComfyUI installation that supports Flux.2 Klein and install any necessary nodes for for this workflow using ComfyUI manager and place the correct files (AIO model, LORAs etc) in correct places. Also check out my other workflows for SD 1.5 + SDXL 1.0, WAN 2.1, WAN 2.2, MagicWAN Image v2, QWEN, HunyuanImage-2.1, HiDream, KREA, Chroma, AuraFlow, Z-Image Turbo and Flux. Feel free to toss some yellow Buzz on stuffs you like.
How to use this -
#1. Just select your desired Flux.2 Klein 4B ALL-in-One model first and now
#2. set your desired image dimensions to start
#3. then input your desired image prompt.
#4. select how many images you want (Change the number besides the "Run" button)
#5. select image sampling methods, CFG, steps etc. settings
#6. finally press the run button to generate. That's it..
** LORA usage for this workflow is optional you can use it without any LORAs, use with 1 or 2 or any other number of LORAs, too add new LORAs press the L button on top to lunch LORA Manager on a new tab find your LORA and if you want to use that LORA just click the upward Kite button
Required Files
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Flux.2 Klein 4B AIO Model used -
### Download Link for Flux.2 Klein 4B ALL-in-One Model
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https://civitai.com/models/2327389/flux2-klein-aio
LORA used -
RebelMidjourney LORA
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