DMAD is now open source: 1 to 4 step distillation for image, video, and joint audio-video generation.
🤖 https://modelscope.ai/models/ZhengmingYu-Community/DMAD
📄 https://modelscope.ai/papers/2610.02188
🎬 A 1.4 GB rank-128 LoRA turns the 50-step, 33B MiniMax-H3 into a 4-step generator of 1344x768 video with stereo audio, no CFG.
🪶 Consumer GPU ready: 15 s clips on 16 GB, 5 s clips on 8 GB. 64 GB system RAM recommended.
🏆 1.04 FID on 1-step ImageNet-64, 14.47 FID on 4-step SDXL, 85.15 VBench on 4-step Wan2.1-14B, 84.6% human preference over rCM on MiniMax-H3.
🧠 Reframes distribution matching as classification with two discriminator heads, no auxiliary student-score model.
🛠️ Weights for MiniMax-H3, Wan2.1, SDXL, and ImageNet-64, plus training code, H3 training data, Diffusers support, low-VRAM inference, and ready-to-run ComfyUI workflows.
📜 Weights inherit their base model licenses; MiniMax-H3 LoRAs fall under the MiniMax H3 Community License.