Qwen-Image-i2L

Qwen-Image-i2L is an innovative model that converts input images into LoRA models, supports style transfer and detail generation, and is suitable for various visual creation needs. It contains multiple versions to meet different detail preservation needs and is suitable for researchers and artists.

Demand group:

"This product is particularly suitable for artists, researchers and developers who are engaged in image processing and creation. By using this model, they can easily transform image styles and extract details to assist their creation and research work."

Example of usage scenario:

Use Qwen-Image-i2L -Style model to quickly generate stylized images.

Combine Qwen-Image-i2L -Coarse and Qwen-Image-i2L -Fine for detailed image generation.

The Qwen-Image-i2L -Bias model makes the generated image closer to the Qwen-Image style.

Product features:

Convert input images to LoRA models to support style transfer.

Several different versions of the model are available to suit different needs.

Supports high-resolution image encoding to maintain more detailed information.

Compatible with multiple image encoders, providing flexible application scenarios.

Can be combined with other models to speed up the training process.

Open source promotes community collaboration and innovation.

Use simple inference code to make it easier for developers to use.

Suitable for many types of image generation tasks.

Usage tutorial:

Install DiffSynth-Studio and download related models.

Load the input image and perform inference using the appropriate model.

Run the inference code to generate the LoRA model.

Use the generated LoRA model for image generation or style transfer.

Save the resulting image or model for later use.