Stable Diffusion: Unterschied zwischen den Versionen
Anlumo (Diskussion | Beiträge) examples |
Anlumo (Diskussion | Beiträge) example++ |
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* Text-to-image: Enter a text prompt (positive and negative) and generate a low-res image out of that. | * Text-to-image: Enter a text prompt (positive and negative) and generate a low-res image out of that. | ||
* Image-to-image: Take an image as input and modify it based on a text prompt. This can be used for style transfer for example, or taking the composition of another image for a new creation. | * Image-to-image: Take an image as input and modify it based on a text prompt. This can be used for style transfer for example, or taking the composition of another image for a new creation. ([https://www.reddit.com/r/StableDiffusion/comments/1196vyi example]) | ||
* Inpainting: Same as image-to-image, but only modify a part of the image. This can be used to add or remove details in images, for example. ([https://www.reddit.com/r/StableDiffusion/comments/11gbijd example]) | * Inpainting: Same as image-to-image, but only modify a part of the image. This can be used to add or remove details in images, for example. ([https://www.reddit.com/r/StableDiffusion/comments/11gbijd example]) | ||
* Controlnet: Applicable to any of the above. Take a reference image, extract some property of it, like the pose of a person or a depth map, and nudge the AI to generate one of the above outputs with this extra information ([https://www.reddit.com/r/StableDiffusion/comments/11fn96y example]). This can also be used in text-to-image to convert a pencil sketch to a photorealistic image, for example. | * Controlnet: Applicable to any of the above. Take a reference image, extract some property of it, like the pose of a person or a depth map, and nudge the AI to generate one of the above outputs with this extra information ([https://www.reddit.com/r/StableDiffusion/comments/11fn96y example]). This can also be used in text-to-image to convert a pencil sketch to a photorealistic image, for example. | ||