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Stable Diffusion users seek better OpenPose and depth adherence for complex poses

A user on Reddit is seeking advice on achieving better results with Stable Diffusion's ControlNet for depth and OpenPose adherence, particularly for complex or non-upright poses. They have found that models like Zit and Flux2 Klein perform poorly with rotations and unusual orientations, leading them to question if all models share this limitation. The user is looking for recommendations on models, workflows, or setups that can handle a wider range of poses. AI

IMPACT Users are discussing limitations and seeking improvements for existing AI image generation tools.

RANK_REASON User is asking for advice on an existing product, not announcing a new release or significant development.

Read on r/StableDiffusion →

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  1. r/StableDiffusion TIER_2 English(EN) · /u/MD_Reptile ·

    The best model for openpose / depth adherence

    <!-- SC_OFF --><div class="md"><p>So I've been trying zit and flux2 Klein with control nets for depth and openpose and found the results pretty disappointing - they do alright with upright poses like a wave or walking from a side view, but when you try something more complex or u…