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…
Read the full model card ↗ · Preview checked 2026-10-31T15:59:22.413Z
Inside the original model card — Document outline
- Consistent Distribution Matching for Data-Free Diffusion Distillation
- Checkpoint and statistics
- Download and sample
- Reproduce FID
- Integrity and provenance
- License and acknowledgements
- 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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Model facts
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- Recent downloads (30 days)
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- Cumulative likes
- 1
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- License
- cc-by-nc-sa-4.0
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- Not gated by Hugging Face
- Created
- 2026-10-18T06:31:39.000Z
- Last modified
- 2026-10-18T06:42:00.000Z
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