Updated How to Use (markdown)

AvidGameFan 2024-02-11 16:28:15 -05:00
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* You can click `Use as Input` on a generated image, to use it as the input image for your next generation. This can be useful for sequentially refining the generated image with a single click. * You can click `Use as Input` on a generated image, to use it as the input image for your next generation. This can be useful for sequentially refining the generated image with a single click.
* Images with the same aspect ratio of your generated image work best. E.g. 1:1 if you're generating images sized 512x512. * Images with the same aspect ratio of your generated image work best. E.g. 1:1 if you're generating images sized 512x512.
## Image Modifiers
These are just suggestions to get you started. Different models will give different effects, and settings that are ideal for one model may not be applicable to another.
* Image Size: Start with 512x512 with SD 1.4 or 1.5 models. With SDXL, start with 1024x1024. You can increase/decrease these slightly - often, 512x768 will still work well with SD 1.5 models, but any larger, and you'll start to see odd duplications in your results. Use image-to-image to go larger.
* Inference Steps: try using between 30 and 40 for most models. For Turbo models, use between 5 and 8 to generate faster than non-Turbo models.
* Guidance Scale: 7.5 is a good starting point, but anywhere from 5 to 15 works for many models. For Turbo models, this should be between 1 and 5, depending upon the model.
* Model: SDXL models can produce better results than SD 1.4 and SD 1.5 models, but require a bit more resources.
The base SDXL model can be found here: [sd_xl_base_1.0.safetensors](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors)
The VAE matching this SDXL model can be found here: [sd_xl_base_1.0_0.9vae.safetensors](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0_0.9vae.safetensors)
* Sampler: Generally, you can use any sampler, but some models mostly work with one particular sampler. For example, some Turbo models specifically require DPM++ SDE, or else results will be poorer.
# Troubleshooting # Troubleshooting
Please try the common [troubleshooting](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting) steps. If that doesn't fix it, please ask on the [discord server](https://discord.com/invite/u9yhsFmEkB), or [file an issue](https://github.com/easydiffusion/easydiffusion/issues). Please try the common [troubleshooting](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting) steps. If that doesn't fix it, please ask on the [discord server](https://discord.com/invite/u9yhsFmEkB), or [file an issue](https://github.com/easydiffusion/easydiffusion/issues).