CommunityForensics-DeepfakeDet-ViT
Vision Transformer (ViT-Small) trained on 2.7M samples across 4,803 generators for detecting AI-generated images. Presented in Community Forensics: Using Thousands of Generators to Train Fake Image Detectors (CVPR 2025).
Params
20 M
Context
—
Downloads 30d
240 K
Likes
16
Download history
daily snapshots · 89 days
▲ 0 in the last 30 days (0.0%)
240 K240 K
Sep 25Oct 5Oct 15Oct 24
303 K240 K
Jul 28Aug 26Sep 25Oct 24
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.3 GB | 0.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- ViTForImageClassification
- Parameters
- 20 M
- Tensor type
- F32
- Layers / heads
- 12 / 6
- Licence
- mit
- First seen on the Hub
- 2025-02-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any image-classification model