Organika/sdxl-detector
image-classification model by Organika
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Model card & documentation
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This model was created by fine-tuning the umm-maybe AI art detector on a dataset of Wikimedia-SDXL image pairs, where the SDXL image is generated using a prompt based upon a BLIP-generated caption describing the Wikimedia image. This model demonstrates greatly improved performance over the umm-maybe detector on images generated by more recent diffusion models as well as non-artistic imagery (given the broader range of subjects depicted in the random sample drawn from Wikimedia). However, its performance may be lower for images generated using models other than SDXL. In particular, this model underperforms the original detector for images generated using older models (such as VQGAN+CLIP). The data used for this fine-tune is either synthetic (generated by…
Read the full model card ↗ · Preview checked 2026-10-28T09:08:53.613Z
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Model overview
Organika/sdxl-detector is a image-classification model repository published by Organika on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- transformers
- Recent downloads (30 days)
- 57,648
- Cumulative likes
- 63
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 86,802,898
- Architecture
- SwinForImageClassification
- License
- cc-by-nc-3.0
- Access
- Not gated by Hugging Face
- Created
- 2023-12-31T04:54:35.000Z
- Last modified
- 2024-09-06T12:17:24.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:50:12.349Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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