Skip to page content
SAVRN
Search Plan a project

Dataset · Image to 3d

Alchemy3D-1M

by Badi Li libadi/Alchemy3D-1M

Alchemy3D-1M is the training corpus for Alchemy3D: source–target 3D editing pairs on PBR-ready assets, with text instructions and image conditions. It contains 1.25M unique assets and 1.38M editing pairs across 7 edit types.

Rows—
Configurations—
Size5.8 TB
Licenseapache-2.0
AccessPublicly accessible
Monthly Downloads424

Dataset Card

By Badi Li, published under apache-2.0, revision c796fbdb0972.

Alchemy3D-1M

A million-scale dataset for versatile 3D asset editing.

Alchemy3D-1M is the training corpus for Alchemy3D: source–target 3D editing pairs on PBR-ready assets, with text instructions and image conditions. It contains 1.25M unique assets and 1.38M editing pairs across 7 edit types.

Due to Hugging Face storage limits, this repository includes only training metadata, structured latents at resolution 512, and rendered conditions. For GLBs and latents at resolution 1024, please use the ModelScope counterpart Alchemy3D-1M.

Dataset Layout

The dataset contain encoded latents for sparse structure (ss_latents), geometry (shape_latents/512), PBR material (pbr_latents/512). csv files are metadata.

Latents are packed as part_XXX.zip shards.

Usage

Download the dataset:

hf download libadi/Alchemy3D-1M --repo-type dataset --local-dir Alchemy3D-1M

Then unzip all zip files.

License

Apache License 2.0. Downstream 3D generators and renderers you apply to these assets may have their own terms.

Citation

@misc{li2026scalingversatile3dassets,
      title={Scaling Versatile 3D Assets Editing with a Million-Scale Dataset}, 
      author={Badi Li and Tianxin Huang and Yu Zhou and Wei-Shi Zheng and Yi Ma and Shenghua Gao},
      year={2026},
      eprint={2609.34271},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2609.34271}, 
}

Details

Repository
libadi/Alchemy3D-1M
Publisher
Badi Li
Task category
Image to 3d
Tags
Not stated by the source
Size category
1M<n<10M
Languages
en
Revision
c796fbdb0972aea3a3d37fd0bf98b50ccd4f984c
Last updated
2026-10-03

Files

137 files, 5.8 TB in total.

Data133 files · 5.8 TB
Documentation1 file · 3.0 KB
Other2 files · 38.6 MB
Repository1 file · 3.8 KB
Every file
FileTypeSizeSHA-256
add.csvData80.8 MB36f7ec1d555d
animations.csvData583.0 MBa4af4d6a400b
animations_train.csvData172.8 MB72ea9fb83d23
global_appearance.csvData104.7 MB7900fbab74fb
local_appearance.csvData69.9 MBd93be2c40991
pbr_latents/512/part_000.zipData47.4 GB4ac3da2e8466
pbr_latents/512/part_001.zipData47.4 GB4a21327bda1e
pbr_latents/512/part_002.zipData47.4 GBdf2cdb486f16
pbr_latents/512/part_003.zipData47.4 GBdadea1d6a3c9
pbr_latents/512/part_004.zipData47.4 GBedf53138a250
pbr_latents/512/part_005.zipData47.4 GB2901349615b8
pbr_latents/512/part_006.zipData47.4 GBebfe06049b96
pbr_latents/512/part_007.zipData28.8 GB77dd42ad5e76
remove.csvData82.6 MB79f7aa3b696b
renders_cond/part_000.zipData47.4 GB6dc061c65bc1
renders_cond/part_001.zipData47.4 GB0906c6e21e38
renders_cond/part_002.zipData47.4 GB8d727085a424
renders_cond/part_003.zipData47.4 GB614ba1bfec2e
renders_cond/part_004.zipData47.4 GB935cb38481ec
renders_cond/part_005.zipData47.4 GB829318b1b9bf
renders_cond/part_006.zipData47.4 GB37c291726ca0
renders_cond/part_007.zipData47.4 GBec769991be4e
renders_cond/part_008.zipData47.4 GB0d0d43e04951
renders_cond/part_009.zipData47.4 GB872bab8740bb
renders_cond/part_010.zipData47.4 GB4dbbb457f721
renders_cond/part_011.zipData47.4 GB1a663ed617e5
renders_cond/part_012.zipData47.4 GB736c88a39c14
renders_cond/part_013.zipData47.4 GB24fcd0621960
renders_cond/part_014.zipData47.4 GBb65b7118627e
renders_cond/part_015.zipData47.4 GB1d3b18b25c48
renders_cond/part_016.zipData47.4 GBafc42f7b2bc9
renders_cond/part_017.zipData47.4 GB0eff443f4600
renders_cond/part_018.zipData47.4 GBa33a59986473
renders_cond/part_019.zipData47.4 GBdef25c9437d7
renders_cond/part_020.zipData47.4 GBe0f31d31e444
renders_cond/part_021.zipData47.4 GB6e61a3bd1103
renders_cond/part_022.zipData47.4 GB469ace3c7948
renders_cond/part_023.zipData47.4 GB29f640f6f387
renders_cond/part_024.zipData47.4 GB5b9e224f3348
renders_cond/part_025.zipData47.4 GBffed738c4bed
renders_cond/part_026.zipData47.4 GB1adf055c02a8
renders_cond/part_027.zipData47.4 GB82d4ab1e8b78
renders_cond/part_028.zipData47.4 GB1f3390a002bf
renders_cond/part_029.zipData47.4 GBf0a632ed2776
renders_cond/part_030.zipData47.4 GBd0a2b46bdf38
renders_cond/part_031.zipData47.4 GB33b019354d68
renders_cond/part_032.zipData47.4 GB31bdd658a74a
renders_cond/part_033.zipData47.4 GB3a2f7b1c462c
renders_cond/part_034.zipData47.4 GB500b85644ff9
renders_cond/part_035.zipData47.4 GB5e273f27eb27
renders_cond/part_036.zipData47.4 GB79104c249601
renders_cond/part_037.zipData47.4 GB1eea5f1c5dd8
renders_cond/part_038.zipData47.4 GB147c658d2c27
renders_cond/part_039.zipData47.4 GB32e41752e1b4
renders_cond/part_040.zipData47.4 GBcc1377511592
renders_cond/part_041.zipData47.4 GB4b2232302c7b
renders_cond/part_042.zipData47.4 GB8aa3938c4c27
renders_cond/part_043.zipData47.4 GB3c8d880995ac
renders_cond/part_044.zipData47.4 GB360be18d6b83
renders_cond/part_045.zipData47.4 GB190032ca5b55
renders_cond/part_046.zipData47.4 GB9934c9607d66
renders_cond/part_047.zipData47.4 GB3bd1576e3493
renders_cond/part_048.zipData47.4 GBabcd021678b3
renders_cond/part_049.zipData47.4 GBaaedb190bfdb
renders_cond/part_050.zipData47.4 GBac600e5a4aef
renders_cond/part_051.zipData47.4 GB6ad8de9f6f73
renders_cond/part_052.zipData47.4 GB7e873692923f
renders_cond/part_053.zipData47.4 GBed4367c072f2
renders_cond/part_054.zipData47.4 GB910b3c4c3aac
renders_cond/part_055.zipData47.4 GBb9e1f95e93cb
renders_cond/part_056.zipData47.4 GB02f26756ae38
renders_cond/part_057.zipData47.4 GB67ec2effd0aa
renders_cond/part_058.zipData47.4 GBcf3e09058fc5
renders_cond/part_059.zipData47.4 GB34f1075e1c41
renders_cond/part_060.zipData47.4 GBac4c336adf63
renders_cond/part_061.zipData47.4 GB8af9d28c8c57
renders_cond/part_062.zipData47.4 GBf94ec90a91b7
renders_cond/part_063.zipData47.4 GBfd54c7b5d2a9
renders_cond/part_064.zipData47.4 GBd8e416b78457
renders_cond/part_065.zipData47.4 GB4b48c5c425b3
renders_cond/part_066.zipData47.4 GB624f5162ce2a
renders_cond/part_067.zipData47.4 GB7de56930b50e
renders_cond/part_068.zipData47.4 GB661bf07ab102
renders_cond/part_069.zipData47.4 GBc44c25de6f2a
renders_cond/part_070.zipData47.4 GBd2a2b35ef1de
renders_cond/part_071.zipData47.4 GB8091a09e9453
renders_cond/part_072.zipData47.4 GB5f8462ac4882
renders_cond/part_073.zipData47.4 GBdc86db769247
renders_cond/part_074.zipData47.4 GBeb58b62a9a26
renders_cond/part_075.zipData47.4 GBed1077641be2
renders_cond/part_076.zipData47.4 GB0d687fae3bca
renders_cond/part_077.zipData47.4 GBd5f874cd32d9
renders_cond/part_078.zipData47.4 GB59b77062bf9e
renders_cond/part_079.zipData47.4 GBe78bc9a1429c
renders_cond/part_080.zipData47.4 GB422529d8463b
renders_cond/part_081.zipData47.4 GB0eb80b588042
renders_cond/part_082.zipData47.4 GBca143f9d9cb1
renders_cond/part_083.zipData47.4 GBc7f94d1352be
renders_cond/part_084.zipData47.4 GB310e70b3f104
renders_cond/part_085.zipData47.4 GB559484a6103e
renders_cond/part_086.zipData47.4 GB9c7c5b4ae006
renders_cond/part_087.zipData47.4 GBc1fbcce11ee6
renders_cond/part_088.zipData47.4 GB20eae638695c
renders_cond/part_089.zipData47.4 GBb4945263415c
renders_cond/part_090.zipData47.4 GB0477098a0353
renders_cond/part_091.zipData47.4 GB95dd16987571
renders_cond/part_092.zipData47.4 GBdcbb627391fd
renders_cond/part_093.zipData47.4 GBd3e2d8508d81
renders_cond/part_094.zipData47.4 GBdf0e23508dd5
renders_cond/part_095.zipData47.4 GB48f1fe8c625e
renders_cond/part_096.zipData47.4 GB3840d5440e74
renders_cond/part_098.zipData47.4 GBac150cbd28c1
renders_cond/part_100.zipData47.4 GBb4577153de00
renders_cond/part_104.zipData47.4 GB338b8d894bdb
renders_cond/part_109.zipData47.4 GB8302a6bbbc42
renders_cond/part_110.zipData47.4 GBf92bffe01e64
renders_cond/part_115.zipData47.4 GBf6150ed30dea
renders_cond/part_116.zipData47.4 GB9006dd5daea6
renders_cond/part_117.zipData23.8 GB0bebd9a122f8
replace.csvData98.9 MB54dba301a97b
segment.csvData46.3 MBcbdaf140e7d9
shape_latents/512/part_000.zipData47.4 GBea93d64f3f6f
shape_latents/512/part_001.zipData47.4 GB8b29b2ef5f8a
shape_latents/512/part_002.zipData47.4 GB629c0e1e2df7
shape_latents/512/part_003.zipData47.4 GB84a67d5f4b23
shape_latents/512/part_004.zipData47.4 GB26543b379fed
shape_latents/512/part_005.zipData47.4 GB2ef127a0c681
shape_latents/512/part_006.zipData47.4 GB1f1fc893dccb
shape_latents/512/part_007.zipData27.0 GBeaef707f86ee
ss_latents/64/part_000.zipData47.4 GB9f8e727a5871
ss_latents/64/part_001.zipData47.4 GBafe3644f9d87
ss_latents/64/part_002.zipData47.4 GB08173b9b0851
ss_latents/64/part_003.zipData15.4 GB04697cbb1606
README.mdDocumentation3.0 KB—
assets/logo.pngOther1.1 MB93ddaee05e99
assets/teaser.pngOther37.5 MB7e141ab56328
.gitattributesRepository3.8 KB—

License and Download

License
apache-2.0
Access
No access gate
Download from Badi Li

Released by Badi Li through its official repository on Hugging Face. Read the license.