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model: remove unused give_pre_end

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According to git grep, this is not used now, and was not used in the
initial commit that introduced it (see below).

This semantic is difficult to implement temporal roll VAE for (and would
defeat the purpose). Rather than implement the complex if, just delete
the unused feature.

(venv) rattus@rattus-box2:~/ComfyUI$ git log --oneline
220afe33 (HEAD) Initial commit.
(venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre
comfy/ldm/modules/diffusionmodules/model.py:                 resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False,
comfy/ldm/modules/diffusionmodules/model.py:        self.give_pre_end = give_pre_end
comfy/ldm/modules/diffusionmodules/model.py:        if self.give_pre_end:

(venv) rattus@rattus-box2:~/ComfyUI$ git co origin/master
Previous HEAD position was 220afe33 Initial commit.
HEAD is now at 9d8a8179 Enable async offloading by default on Nvidia. (#10953)
(venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre
comfy/ldm/modules/diffusionmodules/model.py:                 resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False,
comfy/ldm/modules/diffusionmodules/model.py:        self.give_pre_end = give_pre_end
comfy/ldm/modules/diffusionmodules/model.py:        if self.give_pre_end:
This commit is contained in:
Rattus 2025-11-29 09:55:59 +10:00
parent 43c83e50bb
commit 32abdc4628
1 changed files with 1 additions and 6 deletions
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7
comfy/ldm/modules/diffusionmodules/model.py
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@ -612,7 +612,7 @@ class Encoder(nn.Module):
class Decoder(nn.Module):
def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels,
resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False,
resolution, z_channels, tanh_out=False, use_linear_attn=False,
conv_out_op=ops.Conv2d,
resnet_op=ResnetBlock,
attn_op=AttnBlock,
@ -626,7 +626,6 @@ class Decoder(nn.Module):
self.num_res_blocks = num_res_blocks
self.resolution = resolution
self.in_channels = in_channels
self.give_pre_end = give_pre_end
self.tanh_out = tanh_out
if conv3d:
@ -722,10 +721,6 @@ class Decoder(nn.Module):
if i_level != 0:
h = self.up[i_level].upsample(h)
# end
if self.give_pre_end:
return h
h = self.norm_out(h)
h = nonlinearity(h)
h = self.conv_out(h, **kwargs)