Edit images while preserving spatial relationships.
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FLUX Depth is a model that uses depth detection to maintain precise control during image transformations. By preserving the original image’s structure through depth maps, it allows for text-guided edits while keeping the core composition intact, making it particularly effective for retexturing images.
FLUX Depth utilizes depth detection to maintain the structural integrity of an image during transformations. By using depth maps and text prompts, it enables text-guided edits while preserving the core composition of the original image.
Key features include structural conditioning through depth maps, integration with FLUX.1 Pro Ultra for high-quality outputs, and the ability to perform text-guided image transformations while maintaining structural fidelity.
FLUX Depth stands out for its ability to provide state-of-the-art structural guidance in image transformations, ensuring high fidelity to the original image structure. It supports complex workflows and precise image restyling.
Typical use cases include retexturing images, performing precise image edits guided by text prompts, and maintaining structural integrity during image transformations.
FLUX Depth uses depth detection for structural conditioning, while FLUX Canny uses canny edge detection. Both models maintain the original image's structure during transformations, but FLUX Depth is particularly effective for depth-aware tasks, whereas FLUX Canny excels in edge-based transformations.