Instructions to use ahmedtaha100/spinefairbench-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmedtaha100/spinefairbench-generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ahmedtaha100/spinefairbench-generator") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
SpineFairBench Generator Checkpoints
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.
Recommended checkpoint
Use spinefairbench_sd15_lora.safetensors for inference inspection. This is a
clean LoRA-only export derived from the production checkpoint.
Optional archival checkpoint
latest.pt is the full production PyTorch training checkpoint. It is provided
for archival/reproducibility inspection. It contains training state such as
optimizer and discriminator components and is not the recommended inference
artifact.
Not included
Raw source radiographs, source masks, runnable training data, credentials, private run roots, and provider-client orchestration are not included.
Download
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
Release files
| 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. |
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