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Save memory by storing text encoder weights in fp16 in most situations.

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Do inference in fp32 to make sure quality stays the exact same.
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comfyanonymous
2023-08-23 01:07:57 -04:00
parent d7b3b0f8c1
commit f081017c1a
4 changed files with 5 additions and 9 deletions
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7
comfy/sd.py
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@@ -546,11 +546,8 @@ class CLIP:
offload_device = model_management.text_encoder_offload_device()
params['device'] = load_device
self.cond_stage_model = clip(**(params))
#TODO: make sure this doesn't have a quality loss before enabling.
# if model_management.should_use_fp16(load_device):
# self.cond_stage_model.half()
self.cond_stage_model = self.cond_stage_model.to()
if model_management.should_use_fp16(load_device):
self.cond_stage_model.half()
self.tokenizer = tokenizer(embedding_directory=embedding_directory)
self.patcher = ModelPatcher(self.cond_stage_model, load_device=load_device, offload_device=offload_device)