Generate images with precise spatial control using ControlNet conditioning signals like edge maps, depth maps, and pose skeletons alongside text prompts. ControlNet is a technique for adding spatial ...
Depth-conditioned image generation using ControlNet-style spatial conditioning in PyTorch. Takes a depth map as input, generates a textured RGB image that respects the spatial structure of the scene.
That was fast—Flux now supports ControlNet Depth! 👏 Check out this 2-minute tutorial and my workflow to help you get started. Depth must be one of my favorite controlnets (CN's) It uses a depth map ...
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