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Better estimation for memory usage during audio VAE encoding/decoding.

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comfyanonymous 2024-06-16 11:47:32 -04:00
parent 746a0410d4
commit ca9d300a80
1 changed files with 2 additions and 2 deletions
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comfy/sd.py
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@ -237,8 +237,8 @@ class VAE:
decoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Decoder", 'params': ddconfig}) decoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Decoder", 'params': ddconfig})
elif "decoder.layers.0.weight_v" in sd: elif "decoder.layers.0.weight_v" in sd:
self.first_stage_model = AudioOobleckVAE() self.first_stage_model = AudioOobleckVAE()
self.memory_used_encode = lambda shape, dtype: (1767 * shape[2]) * model_management.dtype_size(dtype) #TODO: tweak for the audio VAE self.memory_used_encode = lambda shape, dtype: (1000 * shape[2]) * model_management.dtype_size(dtype)
self.memory_used_decode = lambda shape, dtype: (2178 * shape[2] * 64) * model_management.dtype_size(dtype) self.memory_used_decode = lambda shape, dtype: (1000 * shape[2] * 2048) * model_management.dtype_size(dtype)
self.latent_channels = 64 self.latent_channels = 64
self.output_channels = 2 self.output_channels = 2
self.upscale_ratio = 2048 self.upscale_ratio = 2048