This model was presented in the paper VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning. The project page can be found here: https://vargpt1-1.github.io/
1
5 commits
1 linked in READMEs
updated Apr 8, 2025
README
VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning
This model was presented in the paper VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning. The project page can be found here: https://vargpt1-1.github.io/
VARGPT-v1.1 (7B+2B) modeling understanding and generation as two distinct paradigms within a unified model: predicting the next token for visual understanding and predicting the next scale for visual generation.
We provide the simple generation process for using our model. For more details, you could refer to Github: VARGPT-v1.1.
Visual Editing
- You can perform batch evaluations, including evaluations of image generation and image editing:
cd VARGPT-family-training
bash run_scripts/run_eval_vargpt_v1_1_edit.sh
For more details, you could refer to Github: VARGPT-v1.1.
Similar repos
This model was presented in the paper VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning. The project page can be found here: https://vargpt1-1.github.io/
1
5 commits
1 linked in READMEs
updated Apr 8, 2025
README
VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning
This model was presented in the paper VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning. The project page can be found here: https://vargpt1-1.github.io/
VARGPT-v1.1 (7B+2B) modeling understanding and generation as two distinct paradigms within a unified model: predicting the next token for visual understanding and predicting the next scale for visual generation.
We provide the simple generation process for using our model. For more details, you could refer to Github: VARGPT-v1.1.
Visual Editing
- You can perform batch evaluations, including evaluations of image generation and image editing:
cd VARGPT-family-training
bash run_scripts/run_eval_vargpt_v1_1_edit.sh
For more details, you could refer to Github: VARGPT-v1.1.