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README.md
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| 1 |
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# Experiment List for HF Upload
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## 主实验 T2I (8 models × 10 ckpts: 20k~200k)
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| 模型名称 | 实验路径 |
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| ---------------- | ------------------------------------------------------------------ |
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| RPiAE | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_sh_p16_hope_node_2 |
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| RPiAE-ddt | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_ddt_sh_p16_hope_node_2 |
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| Flux-VAE | cc12m_llava_long_crop_256_-1_1_vavae_sh_p16_hope_node_4 |
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| RAE-DINOv2-S | cc12m_llava_long_crop_256_0_1_rae_b_sh_p16_hope_node_4 |
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| RAE-DINOv2-B | cc12m_llava_long_crop_256_0_1_rae_sh_p16_hope_node_2 |
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| RAE-DINOv2-B-ddt | cc12m_llava_long_crop_256_0_1_rae_ddt_sh_p16_hope_node_2 |
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| VAVAE | cc12m_llava_long_crop_256_-1_1_vavae_sh_p16_hope_node_2 |
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| VAVAE-ddt | cc12m_llava_long_crop_256_-1_1_vavae_ddt_sh_p16_hope_node_2 |
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## 主实验 Edit (8 models × 5 ckpts: 10k~50k)
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| 模型名称 | 实验路径 |
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| ---------------- | ---------------------------------------------------- |
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| RPiAE | omniedit_s3_-1_1_fae_vit_dim64_sh_p16_hope_node_1 |
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| RPiAE-ddt | omniedit_s3_0_1_fae_vit_dim64_ddt_sh_p16_hope_node_1 |
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| RAE-DINOv2-B | omniedit_s3_0_1_rae_sh_p16_hope_node_1 |
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| RAE-DINOv2-B-ddt | omniedit_s3_0_1_rae_ddt_sh_p16_hope_node_1 |
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| RAE-DINOv2-S | omniedit_s3_0_1_rae_b_sh_p16_hope_node_1 |
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| VAVAE | omniedit_s3_-1_1_vavae_sh_p16_hope_node_1 |
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| VAVAE-ddt | omniedit_s3_-1_1_vavae_ddt_sh_p16_hope_node_1 |
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| Flux-VAE | omniedit_s3_-1_1_fluxvae_sh_p16_hope_node_1 |
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## 消融实验 T2I (10 models × 1 ckpt: 200k)
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| 消融变量 | 实验路径 |
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| ----------------- | ---------------------------------------------------------------------- |
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| λ=0.25 | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_abl_025_sh_p16_hope_node_2 |
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| λ=0.5 | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_abl_05_sh_p16_hope_node_2 |
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| dim=32 | cc12m_llava_long_crop_256_0_1_fae_vit_dim32_sh_p16_hope_node_2 |
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| dim=128 | cc12m_llava_long_crop_256_0_1_fae_vit_dim128_sh_p16_hope_node_2 |
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| Vit freeze | cc12m_llava_long_crop_256_0_1_fae_origin_vit_dim64_sh_p16_hope_node_2 |
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| CNN freeze | cc12m_llava_long_crop_256_0_1_fae_cnn_freeze_sh_p16_hope_node_2 |
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| stage1 | cc12m_llava_long_crop_256_0_1_kd_sh_p16_hope_node_2 |
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| All-in-one | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_inone_sh_p16_hope_node_2 |
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| Pixel | cc12m_llava_long_crop_256_pixel_sh_p16_hope_node_2 |
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| Pixel + deco head | cc12m_llava_long_crop_256_pixel_deco_head_sh_p16_hope_node_2 |
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| CNN tune | cc12m_llava_long_crop_256_0_1_fae_sh_p16_hope_node_4 |
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| RPiAE-1.5B | cc12m_llava_long_crop_256_0_1_fae_vit_dim64_1.5b_sh_p16_hope_node_4 |
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## 消融实验 Edit (8 models × 1 ckpt: 50k)
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| 消融变量 | 实验路径 |
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| ---------- | -------------------------------------------------------- |
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| λ=0.25 | omniedit_s3_0_1_fae_vit_dim64_abl_025_sh_p16_hope_node_1 |
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| λ=0.5 | omniedit_s3_0_1_fae_vit_dim64_abl_05_sh_p16_hope_node_1 |
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| dim=32 | omniedit_s3_0_1_fae_vit_dim32_sh_p16_hope_node_1 |
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| dim=128 | omniedit_s3_0_1_fae_vit_dim128_sh_p16_hope_node_1 |
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| Vit freeze | omniedit_s3_0_1_fae_origin_vit_dim64_sh_p16_hope_node_1 |
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| CNN freeze | omniedit_s3_0_1_fae_cnn_freeze_sh_p16_hope_node_1 |
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| stage1 | omniedit_s3_0_1_kd_sh_p16_hope_node_1 |
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| All-in-one | omniedit_s3_0_1_fae_vit_dim64_inone_sh_p16_hope_node_1 |
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| CNN tune | omniedit_s3_0_1_sh_p16_hope_node_1 |
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| RPiAE-1.5B | omniedit_s3_-1_1_fae_vit_dim64_1.5b_sh_p16_hope_node_2 |
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## Eval Zip 文件说明
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每个 ckpt 目录下的 eval zip 文件对应不同的测评配置：
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| Zip 文件名 | 内容 | 数量 |
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|-----------|------|------|
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| eval_cfg_4.zip | GenEval + DPG (cfg=4) | 87 |
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| eval_edit_cfg_text_4.zip | GEdit 图像编辑测评 (cfg_text=4) | 50 |
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| eval_cfg_6.75.zip | GenEval + DPG (cfg=6.75) | 10 |
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| eval_cfg_4_ts_3.zip | GenEval + DPG (cfg=4, timestep_shift=3) | 6 |
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| eval_cfg_6.75_ts_3.zip | GenEval + DPG (cfg=6.75, timestep_shift=3) | 2 |
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| eval_cfg_4_re.zip | GenEval + DPG (cfg=4, 重跑) | 2 |
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| eval_cfg_1_re.zip | GenEval + DPG (cfg=1, 重跑) | 2 |
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| eval_cfg_4_vae_no_stage3.zip | GenEval + DPG (cfg=4, VAE 无 stage3) | 1 |
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| eval_edit_cfg_text_4_vae_no_stage3.zip | GEdit (cfg_text=4, VAE 无 stage3) | 1 |
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| eval_cfg_6.75_re.zip | GenEval + DPG (cfg=6.75, 重跑) | 1 |
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| eval_cfg_6.75_re2.zip | GenEval + DPG (cfg=6.75, 重跑2) | 1 |
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| eval_cfg_6.75_ts_3_re.zip | GenEval + DPG (cfg=6.75, ts=3, 重跑) | 1 |
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每个 zip 内包含:
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- `geneval/`: geneval_results.txt + images/ + results.jsonl
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- `dpg/`: dpg_bench_results.txt + dpg_bench_results_detail.txt + images/
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- `gedit/`: gen_images/ + qwen3vl_eval.log (仅 edit 实验)
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## 统计
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- 总文件数: 308 (142 ema + 166 eval zip)
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- 总大小: ~566 GB (502 GB ema + 65 GB eval zip)
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