YouTube: https://youtu.be/A6ZlNu9O_oI Learn how to get more consistent (and more creative) Flux.2 Klein results in ComfyUI using a few simple nodes. In this video, we start with an image edit goal (long hair, one hand touching hair, sunrise mountaintop vibe) and compare the standard ComfyUI workflow vs. the Flux2 Klein Enhancer node pack. You’ll see how Ref Latent Controller and Text/Ref Balance can improve pose/identity consistency without relying on luck-based seed rerolls, plus how Detail Controller lets you “weight” different parts of your prompt (Front/Middle) to dial in specific changes. ✅ Free workflow download in the attachment 💡For more premium workflows, try our paid group and enjoy 7-days free trial: https://myaiforce.com/pg

YouTube: https://youtu.be/QHn6Qg59e8Y Discover how Flux 2 Klein can add realistic, fine-grain detail while upscaling images—without that “AI plastic” look. In this video, I walk through a two-stage ComfyUI workflow: - Stage 1: Flux 2 Klein upscales to 2048×2048 while keeping the image consistent (using Basic Scheduler + lower denoise). - Stage 2: SeedVR2 tiles and upscales to a crisp 4096×4096 for maximum texture detail. You’ll learn the key settings that matter most (denoise range 0.75–0.85, sampler choice, prompt phrases for sharper results) and how to adjust tiling for different aspect ratios. 💡Join our paid group to get the workflow: https://myaiforce.com/pg

YouTube: https://youtu.be/b0LXyla0fuc Flux 2 Klein is here — and it’s a major upgrade for AI clothes swapping in ComfyUI. In this video, I compare Flux 2 Klein vs Qwen Edit 2511 side-by-side and zoom in on the things that actually matter: fabric texture (like lace), hair detail, and how well lighting and shadows match the scene. In many cases, Klein not only looks sharper, but also generates faster and handles large 2048×2048 outputs more reliably than older Qwen Edit workflows. After the comparison, I jump into ComfyUI and walk through the workflow. We’ll do real examples like swapping a trench coat onto a target photo, removing unwanted accessories (without messing up coat accuracy like button count), and fixing tricky cases where pose differences can cause issues like extra hands. I’ll also show the optional high-res fix node group for a final upscale pass to squeeze out a bit more detail. Join our paid group to get the workflow: https://myaiforce.com/pg

Meet Flux 2 Klein, Black Forest Labs’ newest (and fastest) image model—built for text-to-image + image editing, and able to run on consumer GPUs with ~13GB VRAM. In this video, I break down why Klein can be amazing but also prone to classic anatomy fails (extra fingers, weird hands, etc.). After generating hundreds of test images on RunningHub, I’ll show you the best ComfyUI settings I found to reduce those mistakes—plus how samplers, step counts, and CFG change the final look. You’ll also see a quick head-to-head vs Z Image Turbo (prompt-following, skin texture, speed, and batch variety). YouTube: https://youtu.be/xgbCRQuxUMk ✅ Free workflow download below Welcome to join our paid group: https://myaiforce.com/pg

YouTube: https://youtu.be/ZphPp-9ou34 Learn how to do high–success-rate pose transfer with Qwen Edit in ComfyUI—even for tricky poses. I’ll walk through my full workflow (hosted on RunningHub), starting with the basic setup and then upgrading it with DWPose skeleton refs, two HuggingFace LoRAs (base + helper), and smart masking to protect face/hair consistency. Finally, we’ll polish the result using Face Detailer for better gaze + identity match. Join our paid group to get the workflow: https://myaiforce.com/pg