fyxfelixfu/consistentDMD

AI model by fyxfelixfu

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This is the official PyTorch checkpoint repository for Consistent Distribution Matching for Data-Free Diffusion Distillation. Project page: https://consistentdmd.github.io/ Code: https://github.com/felix-yuxiang/CDMD This release contains one LightningDiT-teacher CDMD student for class-conditional ImageNet 256×256 generation. The same student produces the project page's 2.04 / 1.62 / 1.37 FID results with 1 / 2 / 4 Euler steps. Each step is one network evaluation; inference uses no classifier-free guidance pair or teacher model. The statistics for this model are .pt and .npz files; no statistics .pkl is required. The compact checkpoint contains no optimizer, teacher, or training history and cannot resume training. Its implementation configuration is LightningDiT-XL/1, dmfdepth=10, with 32-channel 16×16 VA-VAE latents and 1,000 classes. The required VA-VAE decoder is downloaded separately by the code's asset script. The two statistics files are unmodified copies from Peterande/FACM at revision b7b5fee6d3f43347883d0fe6f9f357e3068375b8. assets.json records their upstream revision, sizes, and SHA-256 hashes, together with the decoder and…

fyxfelixfu/consistentDMD on Hugging Face A short preview, not the full document.

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  1. Consistent Distribution Matching for Data-Free Diffusion Distillation
  2. Checkpoint and statistics
  3. Download and sample
  4. Reproduce FID
  5. Integrity and provenance
  6. License and acknowledgements
  7. Citation

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Model overview

fyxfelixfu/consistentDMD is a task-unspecified model repository published by fyxfelixfu on Hugging Face. A library was not reported.

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License
cc-by-nc-sa-4.0
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Created
2026-10-18T06:31:39.000Z
Last modified
2026-10-18T06:42:00.000Z

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