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ForgeryVCR
youqiwong/ForgeryVCR
ForgeryVCR is a image-text-to-text model from youqiwong. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
ForgeryVCR is a visual-centric image-forensics agent built on Qwen3-VL-4B-Instruct. It actively calls ELA, FFT, NPP, and Zoom-In tools, classifies an image as authentic or tampered, and localizes manipulated regions w…
Access
Public
Updated Sep 20, 2026
Repo size
17.8 GB
Likes
5
Public
Repo makeup
Click a slice to open those files.
.safetensors8.9 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Access
- Public
- Created
- Aug 18, 2026
- Updated
- Sep 20, 2026
- SHA
- 4cb35e10
Try a prompt
Model card
From the Hugging Face model README
ForgeryVCR
ForgeryVCR is a visual-centric image-forensics agent built on Qwen3-VL-4B-Instruct. It actively calls ELA, FFT, NPP, and Zoom-In tools, classifies an image as authentic or tampered, and localizes manipulated regions with bounding boxes.
The released merged GRPO checkpoint is stored under GRPO/.
Download
hf download youqiwong/ForgeryVCR \
--repo-type model \
--include "GRPO/*" \
--local-dir weights/ForgeryVCR
Use the checkpoint from the ForgeryVCR repository:
INFERENCE_MODEL_PATH=weights/ForgeryVCR/GRPO \
INFERENCE_DATASETS="all" \
bash scripts/run_inference.sh
The full tool definitions, prompts, preprocessing, SAM2 mask generation, and evaluation code are maintained in the project repository.
- Task
- Image-Text-to-Text
- Library
- transformers
- Created
- Aug 18, 2026
- Updated
- Sep 20, 2026