YouTube: https://youtu.be/SvCRl1P11mY Learn how inpainting with the Flux 2 Klein model works—what it is, when you need a mask, and why masking can dramatically improve placement, blending, and final image quality. In this walkthrough, we test prompt-only edits vs. masked inpainting by: - Adding/removing sunglasses (and seeing how the model can target the wrong subject) - Inserting a dog into a group photo (better placement + natural lighting with masking) - Adding a cat without a mask (and why resolution can drop when repainting large images) 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