Downloads · 30 days
9
14% of all-time downloads
ahmedtaha100/spinefairbench-generator
spinefairbench-generator is a machine learning model from ahmedtaha100. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as other.
This repository provides SpineFairBench generator checkpoint artifacts for inspection and reproducibility support.
Downloads · 30 days
9
14% of all-time downloads
All-time downloads
66
Public
Repo size
3.7 GB
Likes
0
Public
Click a slice to open those files.
.pt3.6 GB · 99%
From the Hugging Face model README
This repository provides SpineFairBench generator checkpoint artifacts for inspection and reproducibility support.
Do not use any generic Hugging Face auto-generated "Use this model" snippet for SpineFairBench regeneration. This LoRA is released for reviewer inspection and optional local img2img inference using the project command in the paired GitHub repository.
Use spinefairbench_sd15_lora.safetensors for inference inspection. This is a
LoRA-only export derived from the preserved epoch-2 checkpoint identified below.
latest.pt is the preserved full PyTorch checkpoint whose bytes match the retained Stage-1 epoch-2 file. It is provided
for archival/reproducibility inspection. It contains training state such as
optimizer and discriminator components and is not the recommended inference
artifact.
Raw source radiographs, source masks, runnable training data, credentials, private run roots, and provider-client orchestration are not included.
Recommended LoRA only:
hf download ahmedtaha100/spinefairbench-generator \
spinefairbench_sd15_lora.safetensors \
generator_config.yaml \
SHA256SUMS.recommended.txt \
--repo-type model \
--local-dir generator_assets
cd generator_assets
shasum -a 256 -c SHA256SUMS.recommended.txt
All generator assets, including the optional archival checkpoint:
hf download ahmedtaha100/spinefairbench-generator \
--repo-type model \
--local-dir generator_assets
Verify checksums after downloading all generator assets:
cd generator_assets
shasum -a 256 -c SHA256SUMS.txt
| File | Purpose |
|---|---|
spinefairbench_sd15_lora.safetensors | Recommended LoRA-only checkpoint for inference inspection. |
latest.pt | Optional archival PyTorch training checkpoint; not recommended for standard inference. |
generator_config.yaml | Public generator settings used for inspection. |
SHA256SUMS.recommended.txt | SHA256 checksums for the recommended LoRA-only inspection download. |
SHA256SUMS.txt | SHA256 checksums for all released generator files, including latest.pt. |
The archival checkpoint SHA-256 is bc3f71631f07f3d0ca645808b0622f28da2c863b21622cab0ed65e8e44f329ff; the LoRA SHA-256 is 21bbfa4ee50ff389c3a49edc9fa39f4e1f7c691fad85c34cbcce595f62b8d56c. Original checkpoint/configuration/export bytes are unchanged. The LoRA header names the source checkpoint hash. The selected epoch-2 weights precede the later Stage-2 updates in the recovered training log. April generation calls record a checkpoint pathname and settings but lack a hash binding to the bytes loaded at run time.
The public illustrative generator adapter differs from the historical mask/drift implementation and does not reproduce the released images. See the verified provenance report for reconstructed corpus/split membership, recovered masks and preprocessed source images, original logs, access instructions, and unresolved historical records. No training, generation, or model experiment was run for this clarification.