Dreamina 4.0 AI Image Generator

Suitable for e-commerce product image optimization, artistic style transfer, social entertainment meme generation, ad design, IP character development, etc., especially excelling in commercial design needs requiring high-precision control.

Supports compound instruction parsing, such as simultaneously requesting "change perspective + adjust ratio + reference style", the model parses item by item and executes collaboratively to ensure output meets expectations.

Defaults to high-definition output (resolution adaptable based on needs), and supports detail enhancement options for commercial use, such as skin texture optimization and lighting repair.

Yes, the model accepts hand-drawn sketches, whiteboard diagrams (like math formulas), or line art as input, generating complete images combined with text instructions.

Through instructions like "reference image content", the model extracts features like tone, brushwork, and material from the reference image to ensure highly consistent output style, such as unifying characters into felt texture.

Supports generating multiple variant groups based on the same theme (like blind box designs of different animal figures) while maintaining unified style, suitable for product line extension or serialized content creation.

When optimizing skin, texture, and lighting via algorithms, reasonable details (like pores, fabric folds) are retained to avoid distortion from over-beautification, ensuring natural and professional visuals.

Provides end-to-end generation interfaces; users need no professional design background and can quickly generate images via natural language descriptions or sketch+text, supporting API access and platform integration.