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https://github.com/invoke-ai/InvokeAI
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093174942b
`generator` now asks `InvokeAIDiffuserComponent` to do postprocessing work on latents after every step. Thresholding - now implemented as replacing latents outside of the threshold with random noise - is called at this point. This postprocessing step is also where we can hook up symmetry and other image latent manipulations in the future. Note: code at this layer doesn't need to worry about MPS as relevant torch functions are wrapped and made MPS-safe by `generator.py`. |
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.. | ||
data | ||
invoke | ||
models | ||
modules | ||
__init__.py | ||
generate.py | ||
lr_scheduler.py | ||
simplet2i.py | ||
util.py |