text stringlengths 5 631k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 647 |
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# Use with PyArrow
This document is a quick introduction to using `datasets` with PyArrow, with a particular focus on how to process
datasets using Arrow compute functions, and how to convert a dataset to PyArrow or from PyArrow.
This is particularly useful as it allows fast zero-copy operations, since `datasets` use... | datasets/docs/source/use_with_pyarrow.mdx/0 | {
"file_path": "datasets/docs/source/use_with_pyarrow.mdx",
"repo_id": "datasets",
"token_count": 1257
} | 100 |
#!/usr/bin/env python
from argparse import ArgumentParser
from datasets.commands.delete_from_hub import DeleteFromHubCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info
def parse_unknown_args(unknown_args):
... | datasets/src/datasets/commands/datasets_cli.py/0 | {
"file_path": "datasets/src/datasets/commands/datasets_cli.py",
"repo_id": "datasets",
"token_count": 411
} | 101 |
# Copyright 2020 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/features/features.py/0 | {
"file_path": "datasets/src/datasets/features/features.py",
"repo_id": "datasets",
"token_count": 41301
} | 102 |
# Copyright 2020 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/info.py/0 | {
"file_path": "datasets/src/datasets/info.py",
"repo_id": "datasets",
"token_count": 8405
} | 103 |
from typing import Callable
def is_documented_by(function_with_docstring: Callable):
"""Decorator to share docstrings across common functions.
Args:
function_with_docstring (`Callable`): Name of the function with the docstring.
"""
def wrapper(target_function):
target_function.__doc_... | datasets/src/datasets/utils/doc_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/doc_utils.py",
"repo_id": "datasets",
"token_count": 137
} | 104 |
[
"unknown",
"n<1K",
"1K<n<10K",
"10K<n<100K",
"100K<n<1M",
"1M<n<10M",
"10M<n<100M",
"100M<n<1B",
"1B<n<10B",
"10B<n<100B",
"100B<n<1T",
"n>1T"
]
| datasets/src/datasets/utils/resources/size_categories.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/size_categories.json",
"repo_id": "datasets",
"token_count": 124
} | 105 |
import os
from argparse import ArgumentParser
from typing import List
import torch.utils.data
from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node
NUM_SHARDS = 4
NUM_ITEMS_PER_SHARD = 3
class FailedTestError(RuntimeError):
pass
def gen(shards: List[str]):
... | datasets/tests/distributed_scripts/run_torch_distributed.py/0 | {
"file_path": "datasets/tests/distributed_scripts/run_torch_distributed.py",
"repo_id": "datasets",
"token_count": 617
} | 106 |
import pytest
from datasets import Column, Dataset, Features, Value, Video, load_dataset
from ..utils import require_torchcodec
@require_torchcodec
@pytest.mark.parametrize(
"build_example",
[
lambda video_path: video_path,
lambda video_path: open(video_path, "rb").read(),
lambda vid... | datasets/tests/features/test_video.py/0 | {
"file_path": "datasets/tests/features/test_video.py",
"repo_id": "datasets",
"token_count": 2431
} | 107 |
import shutil
import textwrap
import numpy as np
import pytest
from datasets import Audio, ClassLabel, Features
from datasets.builder import InvalidConfigName
from datasets.data_files import DataFilesDict, DataFilesList, get_data_patterns
from datasets.download.streaming_download_manager import StreamingDownloadManag... | datasets/tests/packaged_modules/test_audiofolder.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_audiofolder.py",
"repo_id": "datasets",
"token_count": 6716
} | 108 |
import importlib
import os
import tempfile
import types
from contextlib import nullcontext as does_not_raise
from multiprocessing import Process
from pathlib import Path
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from... | datasets/tests/test_builder.py/0 | {
"file_path": "datasets/tests/test_builder.py",
"repo_id": "datasets",
"token_count": 25362
} | 109 |
import pytest
import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize("dataset_size", [None, 400 * 2**20, 600 * 2**20])
@pytest.mark.parametrize("input_in_memory_max_size", ["default", 0, 100 * 2**20, 900 * 2**20])
def test_is_small_dataset(dataset_size, input_in_memory... | datasets/tests/test_info_utils.py/0 | {
"file_path": "datasets/tests/test_info_utils.py",
"repo_id": "datasets",
"token_count": 366
} | 110 |
import pytest
from datasets.utils.version import Version
@pytest.mark.parametrize(
"other, expected_equality",
[
(Version("1.0.0"), True),
("1.0.0", True),
(Version("2.0.0"), False),
("2.0.0", False),
("1", False),
("a", False),
(1, False),
(Non... | datasets/tests/test_version.py/0 | {
"file_path": "datasets/tests/test_version.py",
"repo_id": "datasets",
"token_count": 254
} | 111 |
from functools import partial
import torch
from benchmarking_utils import BenchmarkMixin, BenchmarkScenario, model_init_fn
from diffusers import BitsAndBytesConfig, FluxTransformer2DModel
from diffusers.utils.testing_utils import torch_device
CKPT_ID = "black-forest-labs/FLUX.1-dev"
RESULT_FILENAME = "flux.csv"
d... | diffusers/benchmarks/benchmarking_flux.py/0 | {
"file_path": "diffusers/benchmarks/benchmarking_flux.py",
"repo_id": "diffusers",
"token_count": 1946
} | 112 |
FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
ENV MINIMUM_SUPPORTED_TORCH_VERSION="2.1.0"
ENV MINIMUM_SUPPORTED_TORCHVISION_VERSION="0.16.0"
ENV MINIMUM_SUPPORTED_TORCHAUDIO_VERSION="2.1.0"
RUN apt-get -y update \
&& apt... | diffusers/docker/diffusers-pytorch-minimum-cuda/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-pytorch-minimum-cuda/Dockerfile",
"repo_id": "diffusers",
"token_count": 622
} | 113 |
<!--Copyright 2025 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/loaders/single_file.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/single_file.md",
"repo_id": "diffusers",
"token_count": 804
} | 114 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/en/api/models/autoencoderkl_cogvideox.md",
"repo_id": "diffusers",
"token_count": 450
} | 115 |
<!--Copyright 2025 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/controlnet_sd3.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/controlnet_sd3.md",
"repo_id": "diffusers",
"token_count": 1150
} | 116 |
<!-- Copyright 2025 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 applic... | diffusers/docs/source/en/api/pipelines/hunyuan_video.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/hunyuan_video.md",
"repo_id": "diffusers",
"token_count": 2320
} | 117 |
<!--Copyright 2025 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/schedulers/consistency_decoder.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/consistency_decoder.md",
"repo_id": "diffusers",
"token_count": 274
} | 118 |
<!--Copyright 2025 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/schedulers/heun.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/heun.md",
"repo_id": "diffusers",
"token_count": 306
} | 119 |
<!--Copyright 2025 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/modular_diffusers/auto_pipeline_blocks.md/0 | {
"file_path": "diffusers/docs/source/en/modular_diffusers/auto_pipeline_blocks.md",
"repo_id": "diffusers",
"token_count": 1958
} | 120 |
<!--Copyright 2025 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/optimization/mps.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/mps.md",
"repo_id": "diffusers",
"token_count": 1245
} | 121 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/en/quicktour.md",
"repo_id": "diffusers",
"token_count": 3215
} | 122 |
<!--Copyright 2025 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/t2i_adapters.md/0 | {
"file_path": "diffusers/docs/source/en/training/t2i_adapters.md",
"repo_id": "diffusers",
"token_count": 3501
} | 123 |
<!--Copyright 2025 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/depth2img.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/depth2img.md",
"repo_id": "diffusers",
"token_count": 878
} | 124 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/en/using-diffusers/reusing_seeds.md",
"repo_id": "diffusers",
"token_count": 2201
} | 125 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/ja/installation.md",
"repo_id": "diffusers",
"token_count": 2493
} | 126 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/ko/optimization/habana.md",
"repo_id": "diffusers",
"token_count": 1910
} | 127 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/ko/training/lora.md",
"repo_id": "diffusers",
"token_count": 4754
} | 128 |
<!--Copyright 2025 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 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/loading_adapters.md",
"repo_id": "diffusers",
"token_count": 12272
} | 129 |
- title: 开始Diffusers
sections:
- local: index
title: Diffusers
- local: installation
title: 安装
- local: quicktour
title: 快速入门
- local: stable_diffusion
title: 有效和高效的扩散
- title: DiffusionPipeline
isExpanded: false
sections:
- local: using-diffusers/schedulers
title: Load schedulers a... | diffusers/docs/source/zh/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/zh/_toctree.yml",
"repo_id": "diffusers",
"token_count": 1405
} | 130 |
<!--版权 2025 HuggingFace 团队。保留所有权利。
根据 Apache 许可证 2.0 版（“许可证”）授权；除非符合许可证的规定，否则不得使用此文件。您可以在
http://www.apache.org/licenses/LICENSE-2.0
获取许可证的副本。
除非适用法律要求或书面同意，根据许可证分发的软件是基于“按原样”分发的，没有任何形式的明示或暗示的保证或条件。有关许可证的特定语言，请参阅许可证。
-->
# 模块化管道
[`ModularPipeline`] 将 [`~modular_pipelines.ModularPipelineBlocks`] 转换为可执行的管道，加载模型并执行块... | diffusers/docs/source/zh/modular_diffusers/modular_pipeline.md/0 | {
"file_path": "diffusers/docs/source/zh/modular_diffusers/modular_pipeline.md",
"repo_id": "diffusers",
"token_count": 6590
} | 131 |
# Pruna
[Pruna](https://github.com/PrunaAI/pruna) 是一个模型优化框架，提供多种优化方法——量化、剪枝、缓存、编译——以加速推理并减少内存使用。以下是优化方法的概览。
| 技术 | 描述 | 速度 | 内存 | 质量 |
|------------|---------------------------------------------------------------------------------... | diffusers/docs/source/zh/optimization/pruna.md/0 | {
"file_path": "diffusers/docs/source/zh/optimization/pruna.md",
"repo_id": "diffusers",
"token_count": 4516
} | 132 |
<!--Copyright 2025 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/zh/training/text2image.md/0 | {
"file_path": "diffusers/docs/source/zh/training/text2image.md",
"repo_id": "diffusers",
"token_count": 5802
} | 133 |
# LoRA finetuning example for CogVideoX
Low-Rank Adaption of Large Language Models was first introduced by Microsoft in [LoRA: Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2106.09685) by *Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu... | diffusers/examples/cogvideo/README.md/0 | {
"file_path": "diffusers/examples/cogvideo/README.md",
"repo_id": "diffusers",
"token_count": 4728
} | 134 |
# Copyright 2025 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/composable_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/composable_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 11961
} | 135 |
# Copyright 2025 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_kolors_inpainting.py/0 | {
"file_path": "diffusers/examples/community/pipeline_kolors_inpainting.py",
"repo_id": "diffusers",
"token_count": 39503
} | 136 |
# Copyright Philip Brown, ppbrown@github
#
# 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 ... | diffusers/examples/community/pipeline_stable_diffusion_xl_t5.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_t5.py",
"repo_id": "diffusers",
"token_count": 3297
} | 137 |
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
... | diffusers/examples/community/speech_to_image_diffusion.py/0 | {
"file_path": "diffusers/examples/community/speech_to_image_diffusion.py",
"repo_id": "diffusers",
"token_count": 5031
} | 138 |
from typing import Callable, List, Optional, Union
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | diffusers/examples/community/text_inpainting.py/0 | {
"file_path": "diffusers/examples/community/text_inpainting.py",
"repo_id": "diffusers",
"token_count": 5460
} | 139 |
# ControlNet training example for FLUX
The `train_controlnet_flux.py` script shows how to implement the ControlNet training procedure and adapt it for [FLUX](https://github.com/black-forest-labs/flux).
Training script provided by LibAI, which is an institution dedicated to the progress and achievement of artificial g... | diffusers/examples/controlnet/README_flux.md/0 | {
"file_path": "diffusers/examples/controlnet/README_flux.md",
"repo_id": "diffusers",
"token_count": 7208
} | 140 |
# Copyright 2025 Custom Diffusion authors. 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 appl... | diffusers/examples/custom_diffusion/retrieve.py/0 | {
"file_path": "diffusers/examples/custom_diffusion/retrieve.py",
"repo_id": "diffusers",
"token_count": 1446
} | 141 |
import argparse
import logging
import math
import os
from pathlib import Path
import jax
import jax.numpy as jnp
import numpy as np
import optax
import torch
import torch.utils.checkpoint
import transformers
from flax import jax_utils
from flax.training import train_state
from flax.training.common_utils import shard
f... | diffusers/examples/dreambooth/train_dreambooth_flax.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_flax.py",
"repo_id": "diffusers",
"token_count": 11967
} | 142 |
# Inference Examples
**The inference examples folder is deprecated and will be removed in a future version**.
**Officially supported inference examples can be found in the [Pipelines folder](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines)**.
- For `Image-to-Image text-guided generation wit... | diffusers/examples/inference/README.md/0 | {
"file_path": "diffusers/examples/inference/README.md",
"repo_id": "diffusers",
"token_count": 252
} | 143 |
# coding=utf-8
# Copyright 2025 suzukimain
#
# 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 t... | diffusers/examples/model_search/pipeline_easy.py/0 | {
"file_path": "diffusers/examples/model_search/pipeline_easy.py",
"repo_id": "diffusers",
"token_count": 39415
} | 144 |
# AutoencoderKL training example
## Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
To make sure you can successfully run the latest versions of the example scripts, we highly recommend **installing from source** and keeping the install... | diffusers/examples/research_projects/autoencoderkl/README.md/0 | {
"file_path": "diffusers/examples/research_projects/autoencoderkl/README.md",
"repo_id": "diffusers",
"token_count": 580
} | 145 |
<jupyter_start><jupyter_code>%load_ext autoreload
%autoreload 2
from diffusers import StableDiffusionGLIGENPipeline
from transformers import CLIPTextModel, CLIPTokenizer
import diffusers
from diffusers import (
AutoencoderKL,
DDPMScheduler,
EulerDiscreteScheduler,
UNet2DConditionModel,
)
# pretraine... | diffusers/examples/research_projects/gligen/demo.ipynb/0 | {
"file_path": "diffusers/examples/research_projects/gligen/demo.ipynb",
"repo_id": "diffusers",
"token_count": 1156
} | 146 |
# IP Adapter Training Example
[IP Adapter](https://huggingface.co/papers/2308.06721) is a novel approach designed to enhance text-to-image models such as Stable Diffusion by enabling them to generate images based on image prompts rather than text prompts alone. Unlike traditional methods that rely solely on complex t... | diffusers/examples/research_projects/ip_adapter/README.md/0 | {
"file_path": "diffusers/examples/research_projects/ip_adapter/README.md",
"repo_id": "diffusers",
"token_count": 2605
} | 147 |
"""
The main idea for this code is to provide a way for users to not need to bother with the hassle of multiple tokens for a concept by typing
a photo of <concept>_0 <concept>_1 ... and so on
and instead just do
a photo of <concept>
which gets translated to the above. This needs to work for both inference and training.... | diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py/0 | {
"file_path": "diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py",
"repo_id": "diffusers",
"token_count": 1828
} | 148 |
from typing import Any, Dict, Optional
import torch
from torch import nn
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.models import PixArtTransformer2DModel
from diffusers.models.attention import BasicTransformerBlock
from diffusers.models.modeling_outputs import Transforme... | diffusers/examples/research_projects/pixart/controlnet_pixart_alpha.py/0 | {
"file_path": "diffusers/examples/research_projects/pixart/controlnet_pixart_alpha.py",
"repo_id": "diffusers",
"token_count": 5561
} | 149 |
import inspect
from typing import Callable, List, Optional, Union
import torch
from PIL import Image
from retriever import Retriever, normalize_images, preprocess_images
from transformers import CLIPImageProcessor, CLIPModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPip... | diffusers/examples/research_projects/rdm/pipeline_rdm.py/0 | {
"file_path": "diffusers/examples/research_projects/rdm/pipeline_rdm.py",
"repo_id": "diffusers",
"token_count": 7216
} | 150 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 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/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py/0 | {
"file_path": "diffusers/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py",
"repo_id": "diffusers",
"token_count": 26772
} | 151 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 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/text_to_image/test_text_to_image_lora.py/0 | {
"file_path": "diffusers/examples/text_to_image/test_text_to_image_lora.py",
"repo_id": "diffusers",
"token_count": 6179
} | 152 |
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 | {
"file_path": "diffusers/scripts/convert_asymmetric_vqgan_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3351
} | 153 |
import argparse
import os
import torch
from torchvision.datasets.utils import download_url
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, Transformer2DModel
pretrained_models = {512: "DiT-XL-2-512x512.pt", 256: "DiT-XL-2-256x256.pt"}
def download_model(model_name):
"""
Downloads a pre-tr... | diffusers/scripts/convert_dit_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dit_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3037
} | 154 |
import argparse
import os
import torch
from safetensors.torch import load_file
from transformers import AutoModel, AutoTokenizer
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, LuminaNextDiT2DModel, LuminaPipeline
def main(args):
# checkpoint from https://huggingface.co/Alpha-VLLM/Lumina-N... | diffusers/scripts/convert_lumina_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_lumina_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3148
} | 155 |
#!/usr/bin/env python
from __future__ import annotations
import argparse
import os
from contextlib import nullcontext
import torch
from accelerate import init_empty_weights
from huggingface_hub import hf_hub_download, snapshot_download
from termcolor import colored
from transformers import AutoModelForCausalLM, AutoT... | diffusers/scripts/convert_sana_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_sana_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 9521
} | 156 |
import argparse
import io
import requests
import torch
import yaml
from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
assign_to_checkpoint,
conv_attn_to_linear,
create_vae_diffusers_config,
renew_vae_attention_paths,
renew_vae_resnet_paths,
)
f... | diffusers/scripts/convert_vae_pt_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vae_pt_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3572
} | 157 |
# coding=utf-8
# Copyright 2025 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/configuration_utils.py/0 | {
"file_path": "diffusers/src/diffusers/configuration_utils.py",
"repo_id": "diffusers",
"token_count": 14943
} | 158 |
# Copyright 2025 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/guiders/smoothed_energy_guidance.py/0 | {
"file_path": "diffusers/src/diffusers/guiders/smoothed_energy_guidance.py",
"repo_id": "diffusers",
"token_count": 5166
} | 159 |
# Copyright 2025 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/ip_adapter.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/ip_adapter.py",
"repo_id": "diffusers",
"token_count": 26696
} | 160 |
# coding=utf-8
# Copyright 2025 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/src/diffusers/models/activations.py/0 | {
"file_path": "diffusers/src/diffusers/models/activations.py",
"repo_id": "diffusers",
"token_count": 2593
} | 161 |
# Copyright 2025 The EasyAnimate 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
#
# U... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl_magvit.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_magvit.py",
"repo_id": "diffusers",
"token_count": 21371
} | 162 |
# Copyright 2025 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/controlnets/controlnet.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/controlnet.py",
"repo_id": "diffusers",
"token_count": 18811
} | 163 |
# coding=utf-8
# Copyright 2025 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 | {
"file_path": "diffusers/src/diffusers/models/model_loading_utils.py",
"repo_id": "diffusers",
"token_count": 13197
} | 164 |
# Copyright 2025 the Latte 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
#
# Unless re... | diffusers/src/diffusers/models/transformers/latte_transformer_3d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/latte_transformer_3d.py",
"repo_id": "diffusers",
"token_count": 7180
} | 165 |
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from ...configuration_utils import ConfigMixin, register_to_config
from ...loaders import FromOriginalModelMixin, PeftAdapterMixin
from ...models.modeling_outputs import Transformer2DModelOutp... | diffusers/src/diffusers/models/transformers/transformer_hidream_image.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_hidream_image.py",
"repo_id": "diffusers",
"token_count": 19295
} | 166 |
# Copyright 2025 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.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d.py",
"repo_id": "diffusers",
"token_count": 7439
} | 167 |
from typing import TYPE_CHECKING
from ..utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
logging,
)
logger = logging.get_logger(__name__)
logger.warning(
"Modular Diffusers is cur... | diffusers/src/diffusers/modular_pipelines/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/modular_pipelines/__init__.py",
"repo_id": "diffusers",
"token_count": 1122
} | 168 |
# Copyright 2025 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/modular_pipelines/stable_diffusion_xl/encoders.py/0 | {
"file_path": "diffusers/src/diffusers/modular_pipelines/stable_diffusion_xl/encoders.py",
"repo_id": "diffusers",
"token_count": 18510
} | 169 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | diffusers/src/diffusers/pipelines/amused/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/amused/__init__.py",
"repo_id": "diffusers",
"token_count": 796
} | 170 |
# Copyright 2025 CVSSP, ByteDance 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/audioldm2/pipeline_audioldm2.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm2/pipeline_audioldm2.py",
"repo_id": "diffusers",
"token_count": 24403
} | 171 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_ddim": ["DDIMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_ddim import DDIMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/ddim/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ddim/__init__.py",
"repo_id": "diffusers",
"token_count": 180
} | 172 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_librosa_available,
is_note_seq_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}... | diffusers/src/diffusers/pipelines/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 2227
} | 173 |
# Copyright 2025 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/deprecated/score_sde_ve/pipeline_score_sde_ve.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/score_sde_ve/pipeline_score_sde_ve.py",
"repo_id": "diffusers",
"token_count": 1759
} | 174 |
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.utils import deprecate
from ....configuration_utils import ConfigMixin, register_to_config
from ....models import ModelMixin
from ....models.activations impo... | diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py",
"repo_id": "diffusers",
"token_count": 54027
} | 175 |
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 = {}
_additional_imports = {}
_import_structure = {"pipeline_output": ["HiDreamI... | diffusers/src/diffusers/pipelines/hidream_image/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/hidream_image/__init__.py",
"repo_id": "diffusers",
"token_count": 586
} | 176 |
# Copyright 2025 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/kandinsky/pipeline_kandinsky_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_img2img.py",
"repo_id": "diffusers",
"token_count": 9822
} | 177 |
import inspect
import math
from itertools import repeat
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from packaging import version
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDic... | diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 36659
} | 178 |
# Copyright 2023-2025 Marigold Team, ETH Zürich. All rights reserved.
# Copyright 2024-2025 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
#
# ... | diffusers/src/diffusers/pipelines/marigold/pipeline_marigold_depth.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/marigold/pipeline_marigold_depth.py",
"repo_id": "diffusers",
"token_count": 17538
} | 179 |
# Copyright 2025 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 | {
"file_path": "diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py",
"repo_id": "diffusers",
"token_count": 942
} | 180 |
# coding=utf-8
# Copyright 2025 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/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py",
"repo_id": "diffusers",
"token_count": 36488
} | 181 |
# Copyright 2025 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_xl/pipeline_flax_stable_diffusion_xl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_flax_stable_diffusion_xl.py",
"repo_id": "diffusers",
"token_count": 5263
} | 182 |
import copy
import inspect
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from torch.nn.functional import grid_sample
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from ..... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py",
"repo_id": "diffusers",
"token_count": 20339
} | 183 |
# Copyright 2025 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
#
# Unless required by appl... | diffusers/src/diffusers/quantizers/base.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/base.py",
"repo_id": "diffusers",
"token_count": 3858
} | 184 |
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 is... | diffusers/src/diffusers/schedulers/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 555
} | 185 |
# Copyright 2025 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 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ipndm.py",
"repo_id": "diffusers",
"token_count": 3641
} | 186 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class QuantoConfig(metaclass=DummyObject):
_backends = ["optimum_quanto"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["optimum_quanto"])
@classmethod
... | diffusers/src/diffusers/utils/dummy_optimum_quanto_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_optimum_quanto_objects.py",
"repo_id": "diffusers",
"token_count": 208
} | 187 |
import os
import tempfile
from typing import Any, Callable, List, Optional, Tuple, Union
from urllib.parse import unquote, urlparse
import PIL.Image
import PIL.ImageOps
import requests
from .constants import DIFFUSERS_REQUEST_TIMEOUT
from .import_utils import BACKENDS_MAPPING, is_imageio_available
def load_image(
... | diffusers/src/diffusers/utils/loading_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/loading_utils.py",
"repo_id": "diffusers",
"token_count": 2331
} | 188 |
# Copyright 2025 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/fixtures/custom_pipeline/pipeline.py/0 | {
"file_path": "diffusers/tests/fixtures/custom_pipeline/pipeline.py",
"repo_id": "diffusers",
"token_count": 1767
} | 189 |
# coding=utf-8
# Copyright 2025 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/lora/test_lora_layers_sd3.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_sd3.py",
"repo_id": "diffusers",
"token_count": 2798
} | 190 |
# coding=utf-8
# Copyright 2025 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/autoencoders/test_models_autoencoder_mochi.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_autoencoder_mochi.py",
"repo_id": "diffusers",
"token_count": 1581
} | 191 |
# coding=utf-8
# Copyright 2025 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_pixart_transformer2d.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_pixart_transformer2d.py",
"repo_id": "diffusers",
"token_count": 1656
} | 192 |
# Copyright 2025 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 agreed to in writ... | diffusers/tests/models/transformers/test_models_transformer_hunyuan_video_framepack.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_hunyuan_video_framepack.py",
"repo_id": "diffusers",
"token_count": 2028
} | 193 |
# coding=utf-8
# Copyright 2025 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/unets/test_models_unet_2d_condition.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 27765
} | 194 |
# Copyright 2025 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_dependencies.py/0 | {
"file_path": "diffusers/tests/others/test_dependencies.py",
"repo_id": "diffusers",
"token_count": 835
} | 195 |
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
import diffusers
from diffusers import (
AnimateDiffVideoToVideoPipeline,
AutoencoderKL,
DDIMScheduler,
DPMSolverMultistepScheduler,
LCMScheduler,
MotionA... | diffusers/tests/pipelines/animatediff/test_animatediff_video2video.py/0 | {
"file_path": "diffusers/tests/pipelines/animatediff/test_animatediff_video2video.py",
"repo_id": "diffusers",
"token_count": 10423
} | 196 |
# coding=utf-8
# Copyright 2025 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/ddim/test_ddim.py/0 | {
"file_path": "diffusers/tests/pipelines/ddim/test_ddim.py",
"repo_id": "diffusers",
"token_count": 2222
} | 197 |
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxControlPipeline, FluxTransformer2DModel
from diffusers.utils.testing_util... | diffusers/tests/pipelines/flux/test_pipeline_flux_control.py/0 | {
"file_path": "diffusers/tests/pipelines/flux/test_pipeline_flux_control.py",
"repo_id": "diffusers",
"token_count": 3089
} | 198 |
# coding=utf-8
# Copyright 2025 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/kandinsky2_2/test_kandinsky_prior.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_prior.py",
"repo_id": "diffusers",
"token_count": 4062
} | 199 |
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