nickyreinert-vml
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a265c47
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Parent(s):
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adding troubleshooting notes for black image
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README.md
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@@ -81,5 +81,10 @@ Update the file ```appConfig.json``` to add more models. Some models need you to
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## Result is a black image
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Some parameters lead to black images, deactivate them, one by one, and re-run the whole process:
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- safety checker
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## Result is a black image
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Some parameters lead to black images, deactivate them, one by one, and re-run the whole process:
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- safety checker
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- a or the wrong auto encoder
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- the wrong schedulder/solver (e.g. DPMMultiStep seems to be incompatible with SD15, better use DDPMScheduler)
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Also I faced a couple of bugs when using the attention_slicing method (see https://discuss.huggingface.co/t/activating-attention-slicing-leads-to-black-images-when-running-diffusion-more-than-once/68623):
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- you cannot re-run the inferencing process when using attention_slicing
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- don't pass cross_attention_kwargs or guidance_scale to the pipeline
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