In this section, we will exploreStable Diffusion WebUI's handy function bar and learn how to utilize these features to improve the efficiency and effectiveness of AI painting. We will cover knowledge points such as unlimited generation, automatic reading of image parameters, automatic configuration of parameters, clearing of cue word content, preset styles, and additional web functions for small models, and demonstrate how to automatically configure parameters to generate images with one click through hands-on examples.
I. Infinite generation
In Stable Diffusion WebUI, we can right-click on the Generate button and select the "Unlimited Generation" option to allow the AI to keep generating images based on a given cue word. This feature is very useful when you need to draw a lot of cards or generate images in bulk, for example, if you start it before going to bed, you can wake up with hundreds of reference images.
Second, automatically read the parameters of the last picture
This feature allows us to quickly go back to the parameter settings of a previously generated image. With just a click of a button, the generated parameters of the previous image can be automatically read and restored, including positive cue words, negative cue words and iteration steps, etc., which greatly improves the efficiency of adjusting parameters.
Third, according to the paste content automatically configure the parameters
When we see a good-looking picture on C station or other platforms and want to copy its parameters, we just need to copy its parameter text, paste it into the corresponding box of Stable Diffusion WebUI, click Submit, and then the parameters will be configured automatically and a similar picture will be generated.
IV. Clearing the content of cue words
This function can quickly clear the current content of the cue word, which is convenient for us to delete or reset directly, simplifying the operation process.
V. Preset styles
The Preset Styles feature allows us to save favorite cues and parameters for quick recall in future projects. We can simplify repetitive tasks by saving preset styles and then loading them when needed.
Basic Positive + Basic Negative Cue Words
**Positive Cues:** best quality, masterpiece, highres, 8k, beautiful and aesthetic, offical art
**Negative Cue Words:** sketches.
(worst quality:2), (low quality:2), (normal quality:2), lowers, normal quality,
((monochrome)), ((grayscale)), (grayscale).
Facing away, looking away.
text, error, extra digits, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry,
skin spots, acnes, skin blemishes, bad anatomy, fat, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed,
tilted head, bad anatomy, bad hands, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, and
too many fingers, long neck, cross-eyed, mutated hands, bad body, bad proportions, gross proportions, text, error, missing fingers,
missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, missing fingers, mole:1.3.
EasyNegative
If you want to delete the preset styles, find the styles.csv file in the Stable Diffusion root directory and delete the lines corresponding to the styles.
VI. Getting Started with Additional Network Functions for Small Models
The Miniatures Attached Networks feature (Extended Models or Attached Networks) allows our larger models to learn new knowledge, such as a specific painting style or character image. This feature has a wide range of application scenarios, from character images to product data to specific styles, all of which can be realized with small models.
VII. Summary
Through the content of this section, we have mastered the convenient function bar of Stable Diffusion WebUI, and let Stable Diffusion WebUI automatically help us to configure and generate images, and experience the convenience of one-click operation. These features will significantly improve our work efficiency in AI painting.
