mirror of
https://github.com/invoke-ai/InvokeAI
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30 lines
1018 B
Python
30 lines
1018 B
Python
from contextlib import contextmanager
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from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
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from diffusers.models.autoencoders.autoencoder_tiny import AutoencoderTiny
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@contextmanager
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def patch_vae_tiling_params(
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vae: AutoencoderKL | AutoencoderTiny,
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tile_sample_min_size: int,
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tile_latent_min_size: int,
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tile_overlap_factor: float,
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):
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# Record initial config.
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orig_tile_sample_min_size = vae.tile_sample_min_size
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orig_tile_latent_min_size = vae.tile_latent_min_size
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orig_tile_overlap_factor = vae.tile_overlap_factor
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try:
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# Apply target config.
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vae.tile_sample_min_size = tile_sample_min_size
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vae.tile_latent_min_size = tile_latent_min_size
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vae.tile_overlap_factor = tile_overlap_factor
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yield
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finally:
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# Restore initial config.
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vae.tile_sample_min_size = orig_tile_sample_min_size
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vae.tile_latent_min_size = orig_tile_latent_min_size
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vae.tile_overlap_factor = orig_tile_overlap_factor
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