eerie-road/rorem-discriminator
AI model by eerie-road
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The RORem discriminator: a classifier over the SDXL-Inpainting UNet (a rank-4 LoRA plus a clspredbranch head on the down/mid blocks) that scores whether an object has been removed from an image. Released by the RORem authors as a by-product of their human-in-the-loop training; upstream it is distributed from a Google Drive folder linked in the project README, with no Hugging Face mirror of its own. Hosted here so that sayvoy-look can pull it through a pickle-free, digest-pinned path. clspredbranch.pt upstream is a PyTorch zip whose payload is a pickle. It was scanned statically with pickletools (nothing executed; the only globals are collections.OrderedDict, torch.HalfStorage, torch.utils.rebuildtensorv2 — a plain dict of 14 fp16 tensors), loaded once under the restricted unpickler, written out as safetensors, read back and compared bit for bit, then pinned. emptypromptembeds.safetensors is not an upstream file: the discriminator is run with an empty prompt, and these are that prompt's…
Read the full model card ↗ · Preview checked 2026-10-30T23:29:05.660Z
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Model overview
eerie-road/rorem-discriminator is a task-unspecified model repository published by eerie-road on Hugging Face. A library was not reported.
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Model facts
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- Recent downloads (30 days)
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- Created
- 2026-09-16T06:22:16.000Z
- Last modified
- 2026-09-16T06:22:16.000Z
Compatibility and lineage
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Source: Hugging Face Hub. Metadata observed 2026-09-16T06:34:51.485Z. Daily imports are snapshots, not real-time monitoring.
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