Release: v0.2.0
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@ -123,7 +123,7 @@ The class provides functionality to compute previous image according to alpha, b
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**With `pip`**
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**With `pip`**
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```bash
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```bash
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pip install diffusers # should install diffusers 0.1.3
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pip install --upgrade diffusers # should install diffusers 0.2.0
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```
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```
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**With `conda`**
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**With `conda`**
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2
setup.py
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setup.py
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@ -181,7 +181,7 @@ install_requires = [
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setup(
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setup(
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name="diffusers",
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name="diffusers",
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version="0.1.3",
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version="0.2.0",
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description="Diffusers",
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description="Diffusers",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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long_description_content_type="text/markdown",
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@ -4,7 +4,7 @@
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from .utils import is_inflect_available, is_scipy_available, is_transformers_available, is_unidecode_available
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from .utils import is_inflect_available, is_scipy_available, is_transformers_available, is_unidecode_available
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__version__ = "0.1.3"
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__version__ = "0.2.0"
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from .modeling_utils import ModelMixin
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from .modeling_utils import ModelMixin
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from .models import AutoencoderKL, UNet2DConditionModel, UNet2DModel, VQModel
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from .models import AutoencoderKL, UNet2DConditionModel, UNet2DModel, VQModel
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