unilip_1b_visual_components / code_provenance.json
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Publish pinned visual components with exact source payloads and native numerical validation
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{
"reference_materials": {
"OpenGVLab--InternVL3-1B__config.json": {
"repo": "OpenGVLab/InternVL3-1B",
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"OpenGVLab--InternVL3-1B__modeling_intern_vit.py": {
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"file": "modeling_intern_vit.py",
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"file": "configuration_intern_vit.py",
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"OpenGVLab--InternVL3-1B-hf__config.json": {
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"Efficient-Large-Model--Sana_600M_512px_diffusers__transformer__config.json": {
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"url": "https://huggingface.co/Efficient-Large-Model/Sana_600M_512px_diffusers/resolve/83d7a190bfd1fd070570a793d2dab5c7a3231b9d/transformer/config.json",
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"Efficient-Large-Model--Sana_600M_512px_diffusers__vae__config.json": {
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"revision": "83d7a190bfd1fd070570a793d2dab5c7a3231b9d",
"file": "vae/config.json",
"url": "https://huggingface.co/Efficient-Large-Model/Sana_600M_512px_diffusers/resolve/83d7a190bfd1fd070570a793d2dab5c7a3231b9d/vae/config.json",
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"Efficient-Large-Model--Sana_600M_512px_diffusers__scheduler__scheduler_config.json": {
"repo": "Efficient-Large-Model/Sana_600M_512px_diffusers",
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"file": "scheduler/scheduler_config.json",
"url": "https://huggingface.co/Efficient-Large-Model/Sana_600M_512px_diffusers/resolve/83d7a190bfd1fd070570a793d2dab5c7a3231b9d/scheduler/scheduler_config.json",
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"mit-han-lab--dc-ae-f32c32-sana-1.1-diffusers__config.json": {
"repo": "mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers",
"revision": "6f7b3f3b289a439a11ef4fb1034989fd4b9a4766",
"file": "config.json",
"url": "https://huggingface.co/mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers/resolve/6f7b3f3b289a439a11ef4fb1034989fd4b9a4766/config.json",
"sha256": "d448e075595d708140d53102b3e21362845ffdfcf5c62638256fe37559c55c34"
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},
"external_decoder": {
"url": "https://raw.githubusercontent.com/nnnth/UniLIP/937ee73991d68e1a53c1ac156e1a62e6b251e6aa/unilip/model/vae_modules.py",
"sha256": "5666de0ad561036d5206583881a81367502ee7f8628ae67dae9fb022b521838a",
"included": false,
"reason": "The official code repository has no root license; do not redistribute this file. Supply a local official checkout explicitly to the loader."
},
"local_loader": "Independent packaging glue; uses the original trained tensor names and licensed constructors.",
"changes": [
"InternVision configuration disables optional FlashAttention for CPU; native attention equations retained.",
"DC-AE from_pretrained constructor is replaced with config-only meta construction inside a scoped patch; strict loading subsequently supplies every trained decoder tensor.",
"Qwen connector keeps the original final six layers and removes its unused token embedding."
]
}