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continue writing the user guide

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Sean Sube 2023-01-19 22:08:00 -06:00
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@ -87,15 +87,27 @@ produce the same image.
#### CFG parameter
Classifier free guidance.
Classifier free guidance. How strictly the model should follow the prompt. Anything from 5 to 15 usually works. More is
not always better, setting this too high can result in noisy, solarized images.
Roughly:
- 2-6 allows the AI to be creative
- 7-11 treats the prompt as a suggestion
- 12-15 strongly encourages the AI to follow the prompt
- 16-20 follows the prompt whether it makes sense or not
#### Steps parameter
The number of scheduler steps to run.
The number of scheduler steps to run. Using more steps often results in an image with more details, but also takes
longer to run. The Euler Ancestral scheduler can usually produce decent results in 30-45 steps, while some of the
others need 80-100 or more. Inpainting may need more steps, up to 120 or 150 in some cases.
#### Seed parameter
The random seed.
The seed value used for the random number generators.
Using -1 will generate a new seed on the server for each image.
#### Prompt parameter
@ -111,6 +123,8 @@ Resize the output image before returning it to the client.
Enabling this will run Real ESRGAN and requires an upscaling model.
Check out [the Real ESRGAN Github](https://github.com/xinntao/Real-ESRGAN) for more details.
#### Scale parameter
The output scale for Real ESRGAN.
@ -122,12 +136,16 @@ output. Lanczos interpolation is used when the outscale is greater than the scal
#### Denoise parameter
The amount of denoising to apply when using the RealESR x4 v4 model. Can be used to avoid over-smoothing the results.
#### Face correction and strength
Run face correction the the output image before returning it to the client.
Enabling this will run GFPGAN and requires a correction model.
Check out [the GFPGAN Github](https://github.com/TencentARC/GFPGAN) for more details.
### Scheduler comparison
https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers#compare-schedulers