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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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pipeline_tag: image-to-image
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tags:
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- image-editing
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- text-guided-editing
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- diffusion
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- sana
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- qwen-vl
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- multimodal
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base_model:
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- Efficient-Large-Model/SANA1.5_1.6B_1024px
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- Qwen/Qwen3-VL-2B-Instruct
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library_name: diffusers
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---
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# VIBE: Visual Instruction Based Editor
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**VIBE** is a powerful open-source framework for text-guided image editing. It leverages the efficiency of the [Sana1.5-1.6B](github.com/NVlabs/Sana) diffusion model and the visual understanding capabilities of [Qwen3-VL-2B-Instruct](github.com/QwenLM/Qwen3-VL) to provide **exceptionally fast** and high-quality, instruction-based image manipulation.
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## Model Details
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- **Name:** VIBE
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- **Task:** Text-Guided Image Editing
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- **Architecture:**
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- **Diffusion Backbone:** Sana1.5 (1.6B parameters) with Linear Attention.
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- **Condition Encoder:** Qwen3-VL (2B parameters) for multimodal understanding.
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- **Framework:** Built on `diffusers` and `transformers`.
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## Features
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- **Text-Guided Editing:** Edit images using natural language instructions (e.g., "Add a cat on the sofa").
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- **Compact & Efficient:** Combines a 1.6B parameter diffusion model with a 2B parameter encoder for a lightweight footprint.
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- **High-Speed Inference:** Utilizes Sana1.5's linear attention mechanism for rapid generation.
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- **Multimodal Understanding:** Qwen3-VL ensures strong alignment between visual content and text instructions.
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## Citation
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If you use this model in your research or applications, please acknowledge the original projects:
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- [Sana: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer](github.com/NVlabs/Sana)
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- [Qwen3-VL](github.com/QwenLM/Qwen3-VL)
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```bibtex
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@misc{vibe2025,
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author = {Grigorii Alekseenko, Aleksandr Gordeev, Irina Tostykh, Bulat Suleimanov, Vladimir Dokholyan, Georgii Fedorov, Sergey Yakubson, Aleksandra Tsybina, Mikhail Chernyshov, Maksim Kuprashevich},
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title = {VIBE: Visual Instruction Based Editor},
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year = {2025},
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}
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```
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