FLUX.2-klein-4B (commit e7b7dc27f91d) with the transformer quantized to bitsandbytes NF4. Loads with Flux2KleinPipeline.frompretrained. Image editing with 1-3 reference images, and text-to-image. Text encoder (Qwen3-4B) not included. Load it from the base repo, or pass promptembeds. - kept in bf16 (~0.37 GB): xembedder, contextembedder, timeguidanceembed, doublestreammodulationimg, doublestreammodulationtxt, singlestreammodulation, normout, projout klein-quantize.py re-shards the single 7.75 GB file into 1 GB shards before quantizing, so peak memory stays around 2.2 GB. Runs on an 8 GB Jetson. Rendered with the same seed, initial noise and prompt embeddings in NF4 and bf16. 4 steps…