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# Copyright 2020 The HuggingFace Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...
datasets/src/datasets/formatting/np_formatter.py/0
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import copy import itertools import sys from collections import Counter from copy import deepcopy from dataclasses import dataclass from functools import partial from itertools import cycle, islice from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union import fsspec.asy...
datasets/src/datasets/iterable_dataset.py/0
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from dataclasses import dataclass from typing import Callable, Optional import datasets @dataclass class GeneratorConfig(datasets.BuilderConfig): generator: Optional[Callable] = None gen_kwargs: Optional[dict] = None features: Optional[datasets.Features] = None split: datasets.NamedSplit = datasets.S...
datasets/src/datasets/packaged_modules/generator/generator.py/0
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# # Copyright (c) 2017-2021 NVIDIA CORPORATION. All rights reserved. # This file coems from the WebDataset library. # See the LICENSE file for licensing terms (BSD-style). # """ Binary tensor encodings for PyTorch and NumPy. This defines efficient binary encodings for tensors. The format is 8 byte aligned and can be ...
datasets/src/datasets/packaged_modules/webdataset/_tenbin.py/0
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""" Utilities for working with the local dataset cache. This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp Copyright by the AllenNLP authors. """ import asyncio import glob import io import json import multiprocessing import os import posixpath import re import shutil import sys impo...
datasets/src/datasets/utils/file_utils.py/0
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# Copyright 2022 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U...
datasets/src/datasets/utils/tf_utils.py/0
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import textwrap import pyarrow as pa import pytest from datasets import Features, Value from datasets.builder import InvalidConfigName from datasets.data_files import DataFilesList from datasets.packaged_modules.json.json import Json, JsonConfig @pytest.fixture def jsonl_file(tmp_path): filename = tmp_path / "f...
datasets/tests/packaged_modules/test_json.py/0
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import warnings import pytest import datasets.utils.deprecation_utils from datasets.exceptions import ( ChecksumVerificationError, ExpectedMoreDownloadedFilesError, ExpectedMoreSplitsError, NonMatchingChecksumError, NonMatchingSplitsSizesError, SplitsVerificationError, UnexpectedDownloaded...
datasets/tests/test_exceptions.py/0
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import pytest from datasets.parallel import ParallelBackendConfig, parallel_backend from datasets.utils.py_utils import map_nested from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows def add_one(i): # picklable for multiprocessing return i + 1 @require_dill_gt_0_3_2 @require_jo...
datasets/tests/test_parallel.py/0
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# Live 1: How the course work, Q&A, and playing with Huggy In this first live stream, we explained how the course work (scope, units, challenges, and more) and answered your questions. And finally, we saw some LunarLander agents you've trained and play with your Huggies 🐶 <Youtube id="JeJIswxyrsM" /> To know when ...
deep-rl-class/units/en/live1/live1.mdx/0
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# What is Reinforcement Learning? [[what-is-reinforcement-learning]] To understand Reinforcement Learning, let’s start with the big picture. ## The big picture [[the-big-picture]] The idea behind Reinforcement Learning is that an agent (an AI) will learn from the environment by **interacting with it** (through trial...
deep-rl-class/units/en/unit1/what-is-rl.mdx/0
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# Additional Readings [[additional-readings]] These are **optional readings** if you want to go deeper. - [Foundations of Deep RL Series, L2 Deep Q-Learning by Pieter Abbeel](https://youtu.be/Psrhxy88zww) - [Playing Atari with Deep Reinforcement Learning](https://arxiv.org/abs/1312.5602) - [Double Deep Q-Learning](ht...
deep-rl-class/units/en/unit3/additional-readings.mdx/0
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# Diving deeper into policy-gradient methods ## Getting the big picture We just learned that policy-gradient methods aim to find parameters \\( \theta \\) that **maximize the expected return**. The idea is that we have a *parameterized stochastic policy*. In our case, a neural network outputs a probability distribu...
deep-rl-class/units/en/unit4/policy-gradient.mdx/0
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# Introduction [[introduction]] <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit8/thumbnail.png" alt="Thumbnail"/> In unit 4, we learned about our first Policy-Based algorithm called **Reinforce**. In Policy-Based methods, **we aim to optimize the policy direc...
deep-rl-class/units/en/unit6/introduction.mdx/0
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# Generalization in Reinforcement Learning Generalization plays a pivotal role in the realm of Reinforcement Learning. While **RL algorithms demonstrate good performance in controlled environments**, the real world presents a **unique challenge due to its non-stationary and open-ended nature**. As a result, the devel...
deep-rl-class/units/en/unitbonus3/generalisation.mdx/0
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import argparse import csv import gc import os from dataclasses import dataclass from typing import Dict, List, Union import torch import torch.utils.benchmark as benchmark GITHUB_SHA = os.getenv("GITHUB_SHA", None) BENCHMARK_FIELDS = [ "pipeline_cls", "ckpt_id", "batch_size", "num_inference_steps", ...
diffusers/benchmarks/utils.py/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/attnprocessor.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/models/autoencoderkl_cogvideox.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/pipelines/ddim.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/quicktour.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/training/text2image.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/using-diffusers/diffedit.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/using-diffusers/reusing_seeds.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ja/installation.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/optimization/habana.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/training/lora.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/using-diffusers/loading_adapters.md/0
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- sections: - local: index title: 🧨 Diffusers - local: quicktour title: 快速入门 - local: stable_diffusion title: 有效和高效的扩散 - local: installation title: 安装 title: 开始
diffusers/docs/source/zh/_toctree.yml/0
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# -*- coding: utf-8 -*- import inspect from typing import Optional, Union import numpy as np import PIL.Image import torch from torch.nn import functional as F from torchvision import transforms from transformers import CLIPImageProcessor, CLIPModel, CLIPTextModel, CLIPTokenizer from diffusers import ( Autoencode...
diffusers/examples/community/clip_guided_images_mixing_stable_diffusion.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/examples/community/kohya_hires_fix.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/examples/community/pipeline_animatediff_img2video.py/0
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# Inspired by: https://github.com/Mikubill/sd-webui-controlnet/discussions/1236 and https://github.com/Mikubill/sd-webui-controlnet/discussions/1280 from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import PIL.Image import torch from diffusers import StableDiffusionControlNetPipe...
diffusers/examples/community/stable_diffusion_controlnet_reference.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
diffusers/examples/controlnet/train_controlnet_flax.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/examples/dreambooth/test_dreambooth.py/0
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import warnings from diffusers import StableDiffusionImg2ImgPipeline # noqa F401 warnings.warn( "The `image_to_image.py` script is outdated. Please use directly `from diffusers import" " StableDiffusionImg2ImgPipeline` instead." )
diffusers/examples/inference/image_to_image.py/0
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# Research projects This folder contains various research projects using 🧨 Diffusers. They are not really maintained by the core maintainers of this library and often require a specific version of Diffusers that is indicated in the requirements file of each folder. Updating them to the most recent version of the libr...
diffusers/examples/research_projects/README.md/0
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## Diffusers examples with Intel optimizations **This research project is not actively maintained by the diffusers team. For any questions or comments, please make sure to tag @hshen14 .** This aims to provide diffusers examples with Intel optimizations such as Bfloat16 for training/fine-tuning acceleration and 8-bit...
diffusers/examples/research_projects/intel_opts/README.md/0
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## Textual Inversion fine-tuning example [Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples. The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable diffusion...
diffusers/examples/textual_inversion/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
diffusers/examples/vqgan/test_vqgan.py/0
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import argparse import time from pathlib import Path from typing import Any, Dict, Literal import torch from diffusers import AsymmetricAutoencoderKL ASYMMETRIC_AUTOENCODER_KL_x_1_5_CONFIG = { "in_channels": 3, "out_channels": 3, "down_block_types": [ "DownEncoderBlock2D", "DownEncoderBl...
diffusers/scripts/convert_asymmetric_vqgan_to_diffusers.py/0
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# Convert the original UniDiffuser checkpoints into diffusers equivalents. import argparse from argparse import Namespace import torch from transformers import ( CLIPImageProcessor, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection, GPT2Tokenizer...
diffusers/scripts/convert_unidiffuser_to_diffusers.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/loaders/textual_inversion.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/models/autoencoders/autoencoder_oobleck.py/0
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# coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.a...
diffusers/src/diffusers/models/model_loading_utils.py/0
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# Copyright 2024 Alpha-VLLM Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
diffusers/src/diffusers/models/transformers/lumina_nextdit2d.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/models/unets/unet_2d_condition_flax.py/0
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# Copyright 2024 AuraFlow Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless ...
diffusers/src/diffusers/pipelines/aura_flow/pipeline_aura_flow.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/ddim/pipeline_ddim.py/0
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from typing import TYPE_CHECKING from ....utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_torch_available, is_transformers_available, ) _dummy_objects = {} _import_structure = {} try: if not (is_transformers_available() and i...
diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/__init__.py/0
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# flake8: noqa from typing import TYPE_CHECKING from ....utils import ( DIFFUSERS_SLOW_IMPORT, _LazyModule, is_note_seq_available, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available, get_objects_from_module, ) _dummy_objects = {} _import_structure = {} try: i...
diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py/0
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import inspect from typing import Callable, List, Optional, Union import PIL.Image import torch from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModel from ....models import AutoencoderKL, UNet2DConditionModel from ....schedulers import KarrasDiffusionSchedulers from ....utils impo...
diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/pipeline_versatile_diffusion.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py/0
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# coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.a...
diffusers/src/diffusers/pipelines/onnx_utils.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py/0
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# Copyright 2024 Open AI and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required ...
diffusers/src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/schedulers/__init__.py/0
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# Copyright (c) 2022 Pablo Pernías MIT License # Copyright 2024 UC Berkeley Team and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://...
diffusers/src/diffusers/schedulers/scheduling_ddpm_wuerstchen.py/0
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# Copyright 2024 Zhejiang University Team and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #...
diffusers/src/diffusers/schedulers/scheduling_ipndm.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/schedulers/scheduling_utils.py/0
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# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import DummyObject, requires_backends class CosineDPMSolverMultistepScheduler(metaclass=DummyObject): _backends = ["torch", "torchsde"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "torc...
diffusers/src/diffusers/utils/dummy_torch_and_torchsde_objects.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/utils/state_dict_utils.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/models/transformers/test_models_transformer_hunyuan_dit.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/tests/others/test_check_copies.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/controlnet_sd3/test_controlnet_inpaint_sd3.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/paint_by_example/test_paint_by_example.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_audio/test_stable_audio.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_attend_and_excite.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion_gligen/test_stable_diffusion_gligen.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/test_pipelines_flax.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/schedulers/test_scheduler_flax.py/0
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import tempfile from io import BytesIO import requests import torch from huggingface_hub import hf_hub_download, snapshot_download from diffusers.models.attention_processor import AttnProcessor from diffusers.utils.testing_utils import ( numpy_cosine_similarity_distance, torch_device, ) def download_single_...
diffusers/tests/single_file/single_file_testing_utils.py/0
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import gc import unittest import torch from diffusers import ( StableDiffusionXLPipeline, ) from diffusers.utils.testing_utils import ( enable_full_determinism, require_torch_gpu, slow, ) from .single_file_testing_utils import SDXLSingleFileTesterMixin enable_full_determinism() @slow @require_tor...
diffusers/tests/single_file/test_stable_diffusion_xl_single_file.py/0
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# coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
diffusers/utils/overwrite_expected_slice.py/0
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<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="media/lerobot-logo-thumbnail.png"> <source media="(prefers-color-scheme: light)" srcset="media/lerobot-logo-thumbnail.png"> <img alt="LeRobot, Hugging Face Robotics Library" src="media/lerobot-logo-thumbnail.png" style="max-...
lerobot/README.md/0
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"""This script demonstrates how to slice a dataset and calculate the loss on a subset of the data. This technique can be useful for debugging and testing purposes, as well as identifying whether a policy is learning effectively. Furthermore, relying on validation loss to evaluate performance is generally not consider...
lerobot/examples/advanced/2_calculate_validation_loss.py/0
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#!/usr/bin/env python # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # ...
lerobot/lerobot/common/datasets/push_dataset_to_hub/xarm_pkl_format.py/0
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#!/usr/bin/env python # Copyright 2024 Nicklas Hansen, Xiaolong Wang, Hao Su, # and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # ht...
lerobot/lerobot/common/policies/tdmpc/modeling_tdmpc.py/0
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#!/usr/bin/env python # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # ...
lerobot/lerobot/common/utils/utils.py/0
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#!/usr/bin/env python # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # ...
lerobot/tests/test_examples.py/0
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import dac from transformers import AutoConfig, AutoModel, EncodecFeatureExtractor from parler_tts import DACConfig, DACModel from transformers import AutoConfig, AutoModel from transformers import EncodecFeatureExtractor AutoConfig.register("dac", DACConfig) AutoModel.register(DACConfig, DACModel) # Download a mode...
parler-tts/helpers/push_to_hub_scripts/push_dac_to_hub.py/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
peft/docs/source/package_reference/p_tuning.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
peft/examples/boft_controlnet/boft_controlnet.md/0
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# DoRA: Weight-Decomposed Low-Rank Adaptation ![dora](https://i.ytimg.com/vi/m7KQdGSr0Dg/maxresdefault.jpg) ## Introduction [DoRA](https://arxiv.org/abs/2402.09353) is a novel approach that leverages low rank adaptation through weight decomposition analysis to investigate the inherent differences between full fine-t...
peft/examples/dora_finetuning/README.md/0
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import argparse import os from typing import Dict import torch from diffusers import UNet2DConditionModel from safetensors.torch import save_file from transformers import CLIPTextModel from peft import PeftModel, get_peft_model_state_dict # Default kohya_ss LoRA replacement modules # https://github.com/kohya-ss/sd-...
peft/examples/lora_dreambooth/convert_peft_sd_lora_to_kohya_ss.py/0
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<jupyter_start><jupyter_code>%env CUDA_VISIBLE_DEVICES=0 %env TOKENIZERS_PARALLELISM=false<jupyter_output>env: CUDA_VISIBLE_DEVICES=0 env: TOKENIZERS_PARALLELISM=false<jupyter_text>Initialize PolyModel<jupyter_code>import torch from transformers import ( AutoModelForSeq2SeqLM, AutoTokenizer, default_data_co...
peft/examples/poly/peft_poly_seq2seq_with_generate.ipynb/0
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# X-LoRA examples ## `xlora_inference_mistralrs.py` Perform inference of an X-LoRA model using the inference engine mistral.rs. Mistral.rs supports many base models besides Mistral, and can load models directly from saved LoRA checkpoints. Check out [adapter model docs](https://github.com/EricLBuehler/mistral.rs/blo...
peft/examples/xlora/README.md/0
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