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Maybe it's worth exposing width and height parameters in the cog.yaml then? |
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Perhaps you can help me. I use the standard code given in the example from "How to Test" with custom Lora models for SDXL 1.0 and a basic SDXL model from PhotoMaker. When generating an image, styles do not always work. and this may depend on adapter_weights but how to configure it correctly? and another problem is that the face has no common features with the reference |
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Provided by @DiscoNova.
The underlying generative model has billions of parameters. And, whether You believe it or not, all of them do affect the output. The width/height (i.e. the "Aspect Ratio") of the output are just a few of these parameters.
For example, using the exact same positive/negative prompts and seed value, only changing the aspect ratio (i.e. the width/height) of the output image, it is possible to generate e.g. following results:
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