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modified: src/flux/modules/conditioner.py
Browse files- src/flux/__pycache__/__init__.cpython-310.pyc +0 -0
- src/flux/__pycache__/_version.cpython-310.pyc +0 -0
- src/flux/__pycache__/math.cpython-310.pyc +0 -0
- src/flux/__pycache__/model.cpython-310.pyc +0 -0
- src/flux/__pycache__/sampling.cpython-310.pyc +0 -0
- src/flux/__pycache__/util.cpython-310.pyc +0 -0
- src/flux/modules/__pycache__/autoencoder.cpython-310.pyc +0 -0
- src/flux/modules/__pycache__/conditioner.cpython-310.pyc +0 -0
- src/flux/modules/__pycache__/layers.cpython-310.pyc +0 -0
- src/flux/modules/conditioner.py +2 -2
src/flux/__pycache__/__init__.cpython-310.pyc
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src/flux/modules/conditioner.py
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@@ -16,8 +16,8 @@ class HFEmbedder(nn.Module):
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self.hf_module: CLIPTextModel = CLIPTextModel.from_pretrained(version, **hf_kwargs)
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# --- DEBUG ---
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print(f"CLIP Tokenizer max length: {
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print(f"CLIP max position embeddings: {
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else:
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self.tokenizer: T5Tokenizer = T5Tokenizer.from_pretrained(version, max_length=max_length, truncation=True)
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self.hf_module: CLIPTextModel = CLIPTextModel.from_pretrained(version, **hf_kwargs)
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# --- DEBUG ---
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print(f"CLIP Tokenizer max length: {self.tokenizer.model_max_length}")
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print(f"CLIP max position embeddings: {self.hf_module.config.max_position_embeddings}")
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else:
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self.tokenizer: T5Tokenizer = T5Tokenizer.from_pretrained(version, max_length=max_length, truncation=True)
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