How to successfully update to Industry 4.0: Digital retrofitting through retrofit sensors

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Tips and Tricks for Prompt Creation
You can add the following settings for Stable Diffusion to the prompts to improve the quality of the image:


CFG scale
The Classifier Guidance Scale is a parameter that freely controls how strongly the model should follow the given command.

1 – The request is largely ignored.
3 – The model is a little more creative with the request.
7 – There is a good balance between complying with the request and having the freedom to be creative.
15 – The model adheres more to the request.
30 – The request will be strictly followed.
sampling steps
Quality improves as the number of sampling steps is increased. Typically, 20 steps with the Euler sampler are enough to produce a high-quality, sharp image. Although the image will still change subtly at higher australian consumer email list sampling values, it will change but not necessarily achieve higher quality.

My recommendation: 20 steps. Increase the number of steps if you feel the quality is too low.

sampling methods
These are simply different methods for solving diffusion equations. The following methods can be built into the prompt: Euler a, Euler, LMS, Heun, DP2M, DP2M a, DPM fast, LMS Karras, DPM2 Karass, DDIM, PLMS etc. There are various discussions about which method is suitable for which style. The recommendation here is "learning by doing" - simply try out different methods.Even today, medium-sized production in the industrial environment is still considered to be relatively little digitized - even though enormous potential can be exploited here. In fact, there is a huge gap between the few fully digitized production facilities and those that are often still completely analogue. And yet the same applies to German medium-sized companies: global industrial production is undergoing a change that is moving increasingly towards digitization. In order to avoid being pushed out of the market as a producer and to be able to move into the future competitively, modern production processes are constantly monitored, analyzed and optimized digitally.