Alibaba is open to its latest image generation model Qwen2VL-FLUX. This model has powerful image editing, fusion, and hybrid functions. It can generate high-level new images according to the image or text provided by the user. It supports a variety of modes, such as generating similar images, text -guided images, and image guidance images based on images, and users can flexibly control the generating process of the image to achieve refined image creation. The appearance of Qwen2VL-Flux brings new possibilities to the field of image generation, and its open source characteristics also facilitate the use of more developers and researchers. This article will introduce the main functions and application scenarios of Qwen2VL-FLUX in detail.
Recently, Alibaba announced that the latest image generation model of open source is Qwen2VL-FLUX. This model not only has a variety of functions such as editing, fusion, and mixing. image.
Qwen2vl-Flux provides a powerful image change function. The user only needs to enter one image. Without any text prompts, the model can generate multiple similar images according to the original picture. For example, if a user uploads a character photo, the model can generate character performance at multiple angles, showing different perspectives and emotions.
The model also supports text -guided images mixing. When the user enters a picture and adds related text prompts, the Qwen2VL-FLUX can cleverly blend the input image and text content to create a new image effect.
In addition to the above functions, Qwen2VL-FLUX also has the ability to mix the image guidance image. Users can combine two different images together to achieve character fit or scene conversion. For example, combining one character with another background, the model can seamlessly integrate the two to form a new visual effect.
Model -style migration function allows users to control the image carefully. Users can modify the specific parts of the image and achieve refined creation. For example, in an image that shows a combination of high -tech and natural environment, users can add details of biological emitting technology, or the effect of forest morning mist, showing a richer visual experience.
Project entrance: https://huggingface.co/djrango/qwen2vl-flux
Points:
Qwen2vl-Flux open source, has powerful image generation and editing ability.
Support image changes and text guidance images to create new visual effects.
Provide image guidance image mixed and grid style migration, allowing users to perform fine control.
All in all, Qwen2VL-Flux has brought significant progress to the field of image generation and editing with its powerful functions and open source characteristics, and it is worth looking forward to its future application and development. Interested readers can access the entrance of the project to experience and learn.