Image-to-Image
An AI image generation mode that uses an entire reference image as the initial noise base and controls how much information from the original image is retained through denoising strength. Low strength stays close to the original image but limits composition, while high strength allows freedom but tends to drift.
Timeline (last 90 days)
The reference image mechanism (reference image conditioning) is fundamentally different from traditional img2img: img2img starts from a single input image and transforms it as a whole, whereas the reference image mechanism injects multiple images into the model as conditioning signals to retain specific visual features.
Image-to-image controls the degree to which the original image's information is preserved through denoising strength: low strength stays close to the original image but limits composition, while high strength allows freedom but tends to drift.
When making turnaround views, reference image mode should be preferred over high-denoise image-to-image.
All Facts (3)
The reference image mechanism (reference image conditioning) is fundamentally different from traditional img2img: img2img starts from a single input image and transforms it as a whole, whereas the reference image mechanism injects multiple images into the model as conditioning signals to retain specific visual features.
50%UnverifiedImage-to-image controls the degree to which the original image's information is preserved through denoising strength: low strength stays close to the original image but limits composition, while high strength allows freedom but tends to drift.
50%UnverifiedWhen making turnaround views, reference image mode should be preferred over high-denoise image-to-image.
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