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Better chroma radiance vram estimation.

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comfyanonymous 2025-12-11 17:17:00 -05:00 committed by GitHub
parent fdebe18296
commit 7abec407e3
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1 changed files with 2 additions and 2 deletions
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4
comfy/supported_models.py
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@ -965,7 +965,7 @@ class CosmosT2IPredict2(supported_models_base.BASE):
def __init__(self, unet_config):
super().__init__(unet_config)
self.memory_usage_factor = (unet_config.get("model_channels", 2048) / 2048) * 0.9
self.memory_usage_factor = (unet_config.get("model_channels", 2048) / 2048) * 0.95
def get_model(self, state_dict, prefix="", device=None):
out = model_base.CosmosPredict2(self, device=device)
@ -1289,7 +1289,7 @@ class ChromaRadiance(Chroma):
latent_format = comfy.latent_formats.ChromaRadiance
# Pixel-space model, no spatial compression for model input.
memory_usage_factor = 0.038
memory_usage_factor = 0.044
def get_model(self, state_dict, prefix="", device=None):
return model_base.ChromaRadiance(self, device=device)