keep writing user guide
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@ -44,16 +44,15 @@ the image controls, making it easy to refer back to previous parameters or save
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- [Denoise parameter](#denoise-parameter)
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- [Face correction and strength](#face-correction-and-strength)
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- [Settings tab](#settings-tab)
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- [Image history setting](#image-history-setting)
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- [API server setting](#api-server-setting)
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- [Reset tab buttons](#reset-tab-buttons)
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- [Known Errors](#known-errors)
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- [Image Errors](#image-errors)
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- [Empty black images](#empty-black-images)
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- [Distorted and noisy images](#distorted-and-noisy-images)
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- [Scattered image tiles](#scattered-image-tiles)
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- [Client Errors](#client-errors)
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- [Error fetching server parameters](#error-fetching-server-parameters)
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- [Parameter version error](#parameter-version-error)
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- [Distorted and noisy images](#distorted-and-noisy-images)
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- [Scattered image tiles](#scattered-image-tiles)
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- [Server Errors](#server-errors)
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- [Very slow with high CPU usage, max fan speed during image generation](#very-slow-with-high-cpu-usage-max-fan-speed-during-image-generation)
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- [Connection refused or timeouts](#connection-refused-or-timeouts)
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@ -99,7 +98,8 @@ There are many other models available and specialized variations for anime, TV s
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### Scheduler comparison
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https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers#compare-schedulers
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- https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers#compare-schedulers
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- https://i.imgur.com/2pQPgf0.jpeg
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## Tabs
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@ -139,8 +139,8 @@ of your image too much, almost like a posterize effect.
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#### Seed parameter
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The seed value used for the random number generators. This is a lot like the seed in a game like Minecraft and can be
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shared, but producing exactly the same image requires the same model, scheduler, and all of the other parameters as
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well.
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shared to produce similar images, but producing exactly the same image requires the same model, scheduler, and all of
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the other parameters as well.
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You can use the same prompt and seed, while varying the steps and CFG, to produce similar images with small variations.
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@ -155,7 +155,18 @@ has a lot of useful tips on how to build a good prompt. You can include keywords
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style, and level of detail. Throwing a few extra keywords into the end of the prompt can help add specific details,
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like the color and intensity of the lighting.
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> TODO
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> A puppy dog with wings flying over a deciduous forest, drone, detailed, daylight, wide angle, sports, action camera
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![two txt2img images based on the flying puppy dog prompt, one successful and one with a slightly distorted puppy](output/flying-puppy.png)
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The models will not always follow the prompt exactly, even with a fairly large CFG value, and you may need to try a
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few times.
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> A stone magnifying glass with a leather handle showing a portal to another dimension, steam punk, etc
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![TODO](output/stone-glass.png)
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More complex scenes will often need more steps to get good results in the peripheral details.
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#### Negative prompt parameter
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@ -231,10 +242,10 @@ the diffusion pipeline.
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- usually a fine option
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- Gaussian Multiply
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- blur and darken the mask
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- good when you want to soften the edges of the area to be kept, without shrinking it
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- good when you want to soften and expand the edges of the area to be kept
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- Gaussian Screen
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- blur and lighten the mask
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- good when you want to soften the edges of the area to be kept and do not mind shrinking it slightly
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- good when you want to soften and expand the edges of the area to be replaced
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#### Noise source parameter
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@ -276,7 +287,7 @@ Check out [the Real ESRGAN Github](https://github.com/xinntao/Real-ESRGAN) for m
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#### Scale parameter
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The output scale for Real ESRGAN.
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The output scale for Real ESRGAN. This output will be rescaled using the outscale parameter.
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#### Outscale parameter
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@ -300,6 +311,12 @@ Check out [the GFPGAN Github](https://github.com/TencentARC/GFPGAN) for more det
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The settings tab provides access to some of the settings and allows you to reset the state of the other tabs
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to the defaults, if they get out of control.
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#### Image history setting
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The image history setting allows you to change the number of images kept in the recent image history. If you are
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generating very large images or have limited memory, reducing this may improve performance. Increasing this will
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keep more images in history. Output is always kept on the server.
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#### API server setting
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Changing the API server will reload the client.
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@ -310,13 +327,11 @@ Resets the state of each tab to the default, if some controls become glitchy.
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## Known Errors
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### Image Errors
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This section attempts to cover all of the known errors and their solutions.
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#### Empty black images
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#### Distorted and noisy images
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#### Scattered image tiles
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If you encounter an error that does not show up here, please [open a Github issue](https://github.com/ssube/onnx-web/issues/new/choose)
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and include as many details as possible. Screenshots of the client and logs from the server are especially helpful,
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and please include any stacktraces that appear in the server logs.
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### Client Errors
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@ -334,6 +349,19 @@ was the case before version v0.5.0.
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This often means that the API server is running but out-of-date.
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#### Distorted and noisy images
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This can happen when the selected diffusion or upscaling models are not trained for the current resolution or aspect
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ratio.
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This often means that the scale parameter does not match the upscaling model.
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#### Scattered image tiles
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This can happen when the selected upscaling model is not trained for the current resolution.
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This often means that the scale parameter does not match the upscaling model.
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### Server Errors
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If your image fails to render without any other error messages on the client, check the server logs for errors (if you
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