@ -51,14 +51,28 @@ As different models are trained on different image resolutions, it is best to us
### text2img generation
`text2img` can be thought of as generating visual content based on textual descriptions. Popular models include [DALL-E](https://openai.com/dall-e-2), [Midjourney](https://www.midjourney.com/home), and [Stable Diffusion](https://stability.ai/blog/stable-diffusion-public-release). Stable Diffusion (such as SD1.5 and SDXL1.0) are open and gives us the more control on the image generation process.
`text2img` can be thought of as generating visual content based on textual descriptions. Popular models include [DALL-E](https://openai.com/dall-e-2), [Midjourney](https://www.midjourney.com/home), and [Stable Diffusion](https://stability.ai/blog/stable-diffusion-public-release). Stable Diffusion (such as SD1.5 and SDXL1.0) are open and gives us more control on the image generation process. A1111 starts with the `text2img` upon launch.
You can enter both a (positive) prompt and a negative prompt. For example:
Prompt:
```cute cat, 4k ultra hd, highly detailed```
Negative Prompt:
```orange cat```
### img2img generation
`img2img` refers to the transformation of one image into another, typically maintaining the same content but changing the style or other visual attributes.
`img2img` refers to the transformation of one image into another, typically maintaining the same content but changing the style or other visual attributes. A1111 has a `img2img` tab where you can try this. You can also suppliment the generation with a text prompt.
### Inpaint
Inpainting is a technique to make small modification or fix small defects on an image. A1111 has an `inpaint` tab under the `img2img` tab.
### ControlNet (+Stable Diffusion)
ControlNet is a neural network structure to control diffusion models by adding extra conditions
Install extension for A1111: [`sd-webui-controlnet`](https://github.com/Mikubill/sd-webui-controlnet)
