12gb-vram

The 2026 VRAM-Smart Fine-Tuning Suite for SDXL and ANIMA on 12GB GPUs

A highly memory-efficient fine-tuning toolkit for SDXL and ANIMA, combining modern VRAM-saving techniques with custom optimizers to enable full-quality model training on GPUs with as little as 12 GB of VRAM.

Run Qwen3.6-35B-A3B full native 258K context on 12GB VRAM (llama.cpp): ncmoe cliff rule, q4_0 KV prefill fix, 4 tuned profiles with scripts

Consumer-GPU Vivijure backend: LTX-Video i2v on a 12GB card. Homelab motion for vivijure-cf or vivijure-local. AGPL.

Run Qwen3.6-35B LLM + ComfyUI SDXL/Pony image gen simultaneously on 12GB VRAM — measured config (36-37 tok/s during render), scripts included

Run full 258K native context of Qwen3.6-35B-A3B MoE on 12GB VRAM with llama.cpp; benchmarked profiles, scripts, and tuning guide included.