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FLUX.2 Klein 9B LoRAs trained for CV tasks show mixed results

A user has trained LoRAs for the FLUX.2 Klein 9B model to perform computer vision tasks by treating them as image editing problems. The trained LoRAs aim to generate outputs for relative depth, surface normal, body pose, and various segmentation tasks. While depth and normal estimations showed promising results, pose and segmentation tasks were less stable and not yet suitable for practical use. AI

IMPACT Demonstrates novel applications of image editing models for computer vision tasks, though current results are not yet practical.

RANK_REASON This is a research project where a user trained LoRAs for an existing model to perform computer vision tasks, with mixed results and not yet ready for practical use. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

FLUX.2 Klein 9B LoRAs trained for CV tasks show mixed results

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This is a research project where a user trained LoRAs for an existing model to perform computer vision tasks, with mixed results and not yet ready for practical use. [lever_c_demoted from research:…
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117 days old
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COVERAGE [1]

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

    FLUX.2 Klein 9B Schematic LoRA - Depth, Normal, Pose, and Segmentation

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1ttpbl3/flux2_klein_9b_schematic_lora_depth_normal_pose/"> <img alt="FLUX.2 Klein 9B Schematic LoRA - Depth, Normal, Pose, and Segmentation" src="https://preview.redd.it/qux4m90onn4h1.png?width=140&amp;he…