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[chore] remove force_upcast from autoencoder flux2 #14946

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Merged
sayakpaul merged 4 commits into from
Oct 6, 2026
Merged

[chore] remove force_upcast from autoencoder flux2 #14946

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1be8cdf
remove force_upcast attribute from autoencoder flux2
sayakpaul Oct 5, 2026
07ba545
remove script.
sayakpaul Oct 5, 2026
a85f7b0
Merge branch 'main' into autoencoderkl-flux2-remove-upcast
sayakpaul Oct 5, 2026
e4da0e2
Merge branch 'main' into autoencoderkl-flux2-remove-upcast
sayakpaul Oct 6, 2026
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5 changes: 0 additions & 5 deletions src/diffusers/models/autoencoders/autoencoder_kl_flux2.py
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Expand Up @@ -56,10 +56,6 @@ class AutoencoderKLFlux2(
act_fn (`str`, *optional*, defaults to `"silu"`): The activation function to use.
latent_channels (`int`, *optional*, defaults to 4): Number of channels in the latent space.
sample_size (`int`, *optional*, defaults to `32`): Sample input size.
force_upcast (`bool`, *optional*, default to `True`):
If enabled it will force the VAE to run in float32 for high image resolution pipelines, such as SD-XL. VAE
can be fine-tuned / trained to a lower range without losing too much precision in which case `force_upcast`
can be set to `False` - see: https://huggingface.co/madebyollin/sdxl-vae-fp16-fix
mid_block_add_attention (`bool`, *optional*, default to `True`):
If enabled, the mid_block of the Encoder and Decoder will have attention blocks. If set to false, the
mid_block will only have resnet blocks
Expand Down Expand Up @@ -97,7 +93,6 @@ def __init__(
latent_channels: int = 32,
norm_num_groups: int = 32,
sample_size: int = 1024, # YiYi notes: not sure
force_upcast: bool = True,
use_quant_conv: bool = True,
use_post_quant_conv: bool = True,
mid_block_add_attention: bool = True,
Expand Down
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