Updated: Jan 30, 2026
toolVerified: 13 days ago
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The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
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A compact and streamlined workflow for Flux2 Klein that allows for the use of upto 5 input images.
The first input tends to hold the most strength in the output, and controls the output aspect ratio and resolution. So it's best to consider the first image as the image you're editing with the rest being conditioning inputs, although they can overpower the first image entirely, depending on a variety of factors.
Basically, this configuration can be used to create results you might not otherwise be able to get or get as easily in one go, but also may not give you the result you're looking for at all. It can act somewhat like Instant-ID or Face-ID controlnets or like a concept lora when it comes to people and objects, but it's probably more useful when the inputs are used as a reference for different elements. Even different orders of the same inputs can affect the result, so it's more tinkering and randomness than an exact process, due to the increased variables.
So who is this workflow for? People who want to experiment with randomness, or people who are willing to put in the effort to be very intentful with every aspect of their generations to get the results they want. For most tasks though, 2 image inputs will be more controllable and useful.
The multiple "Megapixels" settings are for each input image. The behavior is that the input image will be scaled to 1 megapixel and then processed, which also affects output quality and size, so it's like an input/output resolution slider. I generally keep them all the same number, but different megapixel numbers for inputs can have an effect.