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Better VAE encode mem estimation.

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comfyanonymous 2025-11-20 18:32:21 -05:00 committed by comfyanonymous
parent 8ccd4ca886
commit 726ca6c97e
1 changed files with 1 additions and 1 deletions
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comfy/sd.py
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@ -453,7 +453,7 @@ class VAE:
encoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Encoder", 'params': ddconfig},
decoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Decoder", 'params': ddconfig})
self.memory_used_encode = lambda shape, dtype: (1400 * shape[-3] * shape[-2] * shape[-1]) * model_management.dtype_size(dtype)
self.memory_used_encode = lambda shape, dtype: (1400 * 9 * shape[-2] * shape[-1]) * model_management.dtype_size(dtype)
self.memory_used_decode = lambda shape, dtype: (2800 * 4 * shape[-2] * shape[-1] * 16 * 16) * model_management.dtype_size(dtype)
elif "decoder.conv_in.conv.weight" in sd:
ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}