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main/pipeline_hunyuandit_differential_img2img.py
CHANGED
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@@ -21,8 +21,8 @@ from transformers import (
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BertModel,
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BertTokenizer,
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CLIPImageProcessor,
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-
MT5Tokenizer,
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T5EncoderModel,
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)
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from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
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@@ -260,7 +260,7 @@ class HunyuanDiTDifferentialImg2ImgPipeline(DiffusionPipeline):
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The HunyuanDiT model designed by Tencent Hunyuan.
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text_encoder_2 (`T5EncoderModel`):
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The mT5 embedder. Specifically, it is 't5-v1_1-xxl'.
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tokenizer_2 (`
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The tokenizer for the mT5 embedder.
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scheduler ([`DDPMScheduler`]):
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A scheduler to be used in combination with HunyuanDiT to denoise the encoded image latents.
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@@ -295,7 +295,7 @@ class HunyuanDiTDifferentialImg2ImgPipeline(DiffusionPipeline):
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feature_extractor: CLIPImageProcessor,
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requires_safety_checker: bool = True,
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text_encoder_2=T5EncoderModel,
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tokenizer_2=
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):
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super().__init__()
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BertModel,
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BertTokenizer,
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CLIPImageProcessor,
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T5EncoderModel,
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T5Tokenizer,
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)
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from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
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The HunyuanDiT model designed by Tencent Hunyuan.
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text_encoder_2 (`T5EncoderModel`):
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The mT5 embedder. Specifically, it is 't5-v1_1-xxl'.
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+
tokenizer_2 (`T5Tokenizer`):
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The tokenizer for the mT5 embedder.
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scheduler ([`DDPMScheduler`]):
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A scheduler to be used in combination with HunyuanDiT to denoise the encoded image latents.
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feature_extractor: CLIPImageProcessor,
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requires_safety_checker: bool = True,
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text_encoder_2=T5EncoderModel,
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+
tokenizer_2=T5Tokenizer,
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):
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super().__init__()
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