MiniMax H3 多模态 LoRA 训练、审计与交付技能:Ref2VA、联合音视频、低显存后端与十步证据链。
-
Updated
Aug 26, 2026 - Python
MiniMax H3 多模态 LoRA 训练、审计与交付技能:Ref2VA、联合音视频、低显存后端与十步证据链。
Train a Qwen-Image-2.1 LoRA on a 12 GB GPU and 32 GB of RAM — NF4 weights kept in VRAM, no CPU offload, 500 steps in 12 minutes. Unofficial — not affiliated with Alibaba or Tongyi.
Cog Single GPU Quantized Implementation of Step-Video-T2V
Single-GPU full fine-tuning & LoRA of Krea 2 Raw (12.8B) for an anime illustration style: training code, AdafactorSR (stochastic rounding), GGUF quantization, 16 GB ComfyUI tests, technical report
YYC³ MiniMax-H3 DiffSynth 本地数字人生产线 · 五步闭环流水线 · 8 位 AI Family 多智能体协同 · 本地优先 100% 数据主权
To associate your repository with the diffsynth topic, visit your repo's landing page and select "manage topics."