A user has successfully reduced the size of the FLUX.2-9B-klein model's text encoder by 38%, resulting in a 5.1B parameter version. This optimization allows the entire fp8 model to fit within 16GB of VRAM for 768x768 image generation without requiring text encoder offloading. The pruned model maintains a high embedding fidelity of 0.975, with detailed technical steps including layer merging, FFN width reduction, and KV group optimization. AI
IMPACT Enables lower-resource hardware to run advanced image generation models.
RANK_REASON User-driven optimization of an existing open-source model's components. [lever_c_demoted from research: ic=1 ai=1.0]
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