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Add exact-value top-p EMA inference checkpoint
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Add verified halton_step20000.pt for continuous Halton experiment
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Add continuous Halton adapter and top-p grid scorer checkpoints
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Add verified official ImageNet FID reference
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Update self-guidance asset manifest (complete)
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Upload upstream asset statics/txt2img_halton.jpg
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Upload upstream asset statics/its_just_a_frog_cie.png
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Upload upstream asset statics/cls2img_halton.png
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Upload upstream asset saved_networks/__init__.py
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Upload upstream asset results/__init__.py
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Upload upstream asset main.py
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Upload upstream asset launch/run_txt_to_img.sh
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Upload upstream asset launch/run_extract_feat.sh
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Upload upstream asset launch/run_cls_to_img.sh
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Upload upstream asset launch/extract_imagenet_stats.sh
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Upload upstream asset launch/eval_test_to_img.sh
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Upload upstream asset extract_vq_features.py
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Upload upstream asset extract_train_fid.py
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Upload upstream asset exemple.py
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Upload upstream asset env.yaml
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Upload upstream asset colab_demo.ipynb
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Upload upstream asset app.py
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Upload upstream asset Utils/viz.py
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Upload upstream asset Utils/utils.py
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Upload upstream asset Utils/masking_scheduler.py
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Upload upstream asset Utils/__pycache__/masking_scheduler.cpython-310.pyc
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Upload upstream asset Utils/__init__.py
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Upload upstream asset Trainer/cls_trainer.py
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Upload upstream asset README.md
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Upload upstream asset Network/vq_model.py
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Upload upstream asset Network/txt_transformer.py
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Upload upstream asset Network/transformer.py
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Upload upstream asset Network/ema.py
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Upload upstream asset Network/__init__.py
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Upload upstream asset Metrics/inception_metrics.py
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Upload upstream asset LICENSE.txt
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Upload upstream asset Dataset/dataset.py
