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https://github.com/comfyanonymous/ComfyUI.git
synced 2025-08-02 23:14:49 +08:00
Lowvram mode for gligen and fix some lowvram issues.
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@@ -88,6 +88,19 @@ class TimestepEmbedSequential(nn.Sequential, TimestepBlock):
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x = layer(x)
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return x
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#This is needed because accelerate makes a copy of transformer_options which breaks "current_index"
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def forward_timestep_embed(ts, x, emb, context=None, transformer_options={}, output_shape=None):
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for layer in ts:
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if isinstance(layer, TimestepBlock):
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x = layer(x, emb)
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elif isinstance(layer, SpatialTransformer):
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x = layer(x, context, transformer_options)
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transformer_options["current_index"] += 1
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elif isinstance(layer, Upsample):
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x = layer(x, output_shape=output_shape)
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else:
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x = layer(x)
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return x
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class Upsample(nn.Module):
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"""
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@@ -805,13 +818,13 @@ class UNetModel(nn.Module):
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h = x.type(self.dtype)
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for id, module in enumerate(self.input_blocks):
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h = module(h, emb, context, transformer_options)
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h = forward_timestep_embed(module, h, emb, context, transformer_options)
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if control is not None and 'input' in control and len(control['input']) > 0:
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ctrl = control['input'].pop()
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if ctrl is not None:
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h += ctrl
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hs.append(h)
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h = self.middle_block(h, emb, context, transformer_options)
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h = forward_timestep_embed(self.middle_block, h, emb, context, transformer_options)
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if control is not None and 'middle' in control and len(control['middle']) > 0:
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h += control['middle'].pop()
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@@ -828,7 +841,7 @@ class UNetModel(nn.Module):
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output_shape = hs[-1].shape
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else:
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output_shape = None
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h = module(h, emb, context, transformer_options, output_shape)
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h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape)
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h = h.type(x.dtype)
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if self.predict_codebook_ids:
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return self.id_predictor(h)
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