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linoytsaban committed Sep 5, 2024
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Expand Up @@ -23,11 +23,15 @@ Architects can utilise the models to construct an environment based out on the r
Image editing with text-to-image models involves using text prompts to describe the wanted changes in an image and then follow them.

- synthetic image editing: using text-to-image models to make adjustments to images that were initially created using an input prompt, while preserving the overall meaning or context of the original image.
![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/b20ecaa3f61372174c854e09fc856fdcce6f8494/--/default/train/0/image/image.png?Expires=1725455983&Signature=ykj3EnAENI6goXc7qI2Toq~P8P5IdS1DqNbSfH8vhgrdwaJoGH2cUbXWRgVAndhrHvRjrTTcU3YOyoExnot7zEhauyUEcqr-evRHDmGgfar52uEmfLbLCtNAcRK9Q85QOifupIH-X9x3rBUM03B0RIkHuto6wwRBAHireqr7QcD8hYRaNzACXrTbt-U7wHosZS8R1pdc3FDt7fDc3Qwh8XL0YoJqAoK8X8JnZEXIWTfGnCpygPBDbseDlYEzegGKzClAUgigQbomUk733VNtB3ol396uYkHCcjqjtgdhtEfAWQz-xM4eAhHpI~YEn7RQqRjB0RD0bPd1nHRU0wGUqA__&Key-Pair-Id=K3EI6M078Z3AC3)

- ![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/b20ecaa3f61372174c854e09fc856fdcce6f8494/--/default/train/0/image/image.png?Expires=1725455983&Signature=ykj3EnAENI6goXc7qI2Toq~P8P5IdS1DqNbSfH8vhgrdwaJoGH2cUbXWRgVAndhrHvRjrTTcU3YOyoExnot7zEhauyUEcqr-evRHDmGgfar52uEmfLbLCtNAcRK9Q85QOifupIH-X9x3rBUM03B0RIkHuto6wwRBAHireqr7QcD8hYRaNzACXrTbt-U7wHosZS8R1pdc3FDt7fDc3Qwh8XL0YoJqAoK8X8JnZEXIWTfGnCpygPBDbseDlYEzegGKzClAUgigQbomUk733VNtB3ol396uYkHCcjqjtgdhtEfAWQz-xM4eAhHpI~YEn7RQqRjB0RD0bPd1nHRU0wGUqA__&Key-Pair-Id=K3EI6M078Z3AC3)

- real image editing: similar to synthetic image editing, except we're using real photos/images. This task is usually more complex, as it involves first obtaining a latent representation of the image, in the latent domain of the model that it can then manipulate.
![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/default/train/1/image/image.jpg?Expires=1725453082&Signature=MOCeELTChydgLRZT9ws8owCraSVrdcm6c7Vlnsi23rJ1Ocigl6gjRtXwmjVDCKuG2fB6Hw0Tmn8ZR0M7FPiA2fXpSuPEW4iJMoeQNiNCtkSSjjDisDXbBSRXW1TXJ-Z2c~VoJ4lmmeUdFpyFZ9W~BlI6r2xQLltfU400XKPe~UgE-vJ~xr9ni8zZmyYt1kVtV9Et~EBzWCQkKc2DO9gI9HnEg9z2hxDHp8Bak0HBRARM4ObhRYxieWqO4hOg1HVk4LSt2E8emIuDmhPUU4v8L097yFcI4D6JeoyNNn0q6nKQZqAZIzwP8iiLqqhSv~mJsO7YGnQck1-bzA~gAiVMpg__&Key-Pair-Id=K3EI6M078Z3AC3)

- ![Examples](https://datasets-server.huggingface.co/assets/diffusers/diffusers-images-docs/--/default/train/1/image/image.jpg?Expires=1725453082&Signature=MOCeELTChydgLRZT9ws8owCraSVrdcm6c7Vlnsi23rJ1Ocigl6gjRtXwmjVDCKuG2fB6Hw0Tmn8ZR0M7FPiA2fXpSuPEW4iJMoeQNiNCtkSSjjDisDXbBSRXW1TXJ-Z2c~VoJ4lmmeUdFpyFZ9W~BlI6r2xQLltfU400XKPe~UgE-vJ~xr9ni8zZmyYt1kVtV9Et~EBzWCQkKc2DO9gI9HnEg9z2hxDHp8Bak0HBRARM4ObhRYxieWqO4hOg1HVk4LSt2E8emIuDmhPUU4v8L097yFcI4D6JeoyNNn0q6nKQZqAZIzwP8iiLqqhSv~mJsO7YGnQck1-bzA~gAiVMpg__&Key-Pair-Id=K3EI6M078Z3AC3)

### Personalization

Personalization refers to techniques used to customize text-to-image models, where we introduce new subjects/concepts to the model so that we can then use the model to generate new images of those subjects with a text prompt.
For example, one can use these techniques to generate images of themselves, using as little as one reference image.
These include teaching the model a new concept both in training free manner or through fine-tuning.
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