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README.md
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---
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license: mit
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tags:
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- image-generation
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- one-step-generation
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datasets:
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- ILSVRC/imagenet-1k
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---
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# Generative Modeling via Drifting: Pretrained Weights
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JAX weights for the ImageNet 256x256 models of [Generative Modeling via Drifting](https://arxiv.org/abs/2602.04770) (NeurIPS 2026, oral). Code, usage, and evaluation instructions: [lambertae/drifting](https://github.com/lambertae/drifting). Project page: [lambertae.github.io/projects/drifting](https://lambertae.github.io/projects/drifting/).
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## Files
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| Path | Description |
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|---|---|
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| models/gen/jax/latent_L_sota | Latent-space generator, L/2 (FID 1.54, 1-NFE) |
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| models/gen/jax/latent_B_sota | Latent-space generator, B/2 (FID 1.75, 1-NFE) |
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| models/gen/jax/pixel_L_sota | Pixel-space generator, L/16 (FID 1.61, 1-NFE) |
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| models/gen/jax/pixel_B_sota | Pixel-space generator, B/16 (FID 1.76, 1-NFE) |
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| models/gen/jax/ablation | Ablation-setting generator, B/2 |
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| models/mae/jax/mae_latent_640 | Latent-space MAE-640 feature encoder |
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| models/mae/jax/mae_pixel_640 | Pixel-space MAE-640 feature encoder |
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| models/mae/jax/mae_latent_256 | Latent-space MAE-256 feature encoder (ablations) |
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The code downloads these weights automatically.
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## License
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MIT, same as the [code repository](https://github.com/lambertae/drifting/blob/main/LICENSE).
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## Citation
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Please cite the paper; the BibTeX entry is in the [code repository](https://github.com/lambertae/drifting#citation).
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