Your image seed is not a character ID

In Diffusers, image generation starts from noisy tensors. A seeded generator manages that randomness. Its documentation also warns that reusing a generator object changes its state, and identical seeds do not guarantee identical results across environments. [1]

Spicy's takeThat makes a seed useful for controlled comparisons, not a portable identity card. Keep the surrounding setup stable when comparing changes; carrying one number between different services is not evidence that they will preserve the same character. [1]

Hugging Face documents IP-Adapter as a way to guide a diffusion model with a reference image alongside text. Its scale controls the strength of that guidance. The documentation distinguishes variants for image detail and identity embeddings, and describes combining adapters with structural controls. [2]

Spicy's takeAsk a service what its reference control is designed to preserve: a subject, a style or a composition. Those are different goals. A slider labelled strength is more useful when you know which visual information it is strengthening. [2]

Spicy's takeFor your own evaluation, choose one reference and a small set of intended scenes. Decide in advance which features must remain recognizable, then vary one control at a time. Record the model and settings with the seed so a pleasing result has a reproducible trail. [1][2]

Spicy's takeDo not count a repeated pose or matching color palette alone as proof of identity preservation. Evaluate the feature you actually need. The documentation offers mechanisms for guidance, not evidence that every service exposing a reference upload achieves the same result. [2]