#354,#365
parent
3c90a58d94
commit
9b7e3e003c
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@ -4,7 +4,7 @@ from accelerate.utils.modeling import set_module_tensor_to_device
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from safetensors.torch import load_file, save_file
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from transformers import CLIPTextModel, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
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from typing import List
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from diffusers import AutoencoderKL, EulerDiscreteScheduler, UNet2DConditionModel
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from diffusers import AutoencoderKL, UNet2DConditionModel
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from scripts.kohyas import model_util, sdxl_original_unet
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@ -537,7 +537,7 @@ def save_diffusers_checkpoint(
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if pretrained_model_name_or_path is None:
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pretrained_model_name_or_path = DIFFUSERS_REF_MODEL_ID_SDXL
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scheduler = EulerDiscreteScheduler.from_pretrained(pretrained_model_name_or_path, subfolder="scheduler")
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#scheduler = EulerDiscreteScheduler.from_pretrained(pretrained_model_name_or_path, subfolder="scheduler")
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tokenizer1 = CLIPTokenizer.from_pretrained(pretrained_model_name_or_path, subfolder="tokenizer")
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tokenizer2 = CLIPTokenizer.from_pretrained(pretrained_model_name_or_path, subfolder="tokenizer_2")
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if vae is None:
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