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[package] name = "candle-wasm-example-yolo" version.workspace = true edition.workspace = true description.workspace = true repository.workspace = true keywords.workspace = true categories.workspace = true license.workspace = true [dependencies] candle = { workspace = true } candle-nn = { workspace = true } num-traits ...
candle/candle-wasm-examples/yolo/Cargo.toml/0
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pub fn add(left: usize, right: usize) -> usize { left + right } #[cfg(test)] mod tests { use super::*; #[test] fn it_works() { let result = add(2, 2); assert_eq!(result, 4); } }
candle/candle-wasm-tests/src/lib.rs/0
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import json import os from dataclasses import dataclass import numpy as np import pyarrow as pa import datasets from utils import get_duration SPEED_TEST_N_EXAMPLES = 100_000_000_000 SPEED_TEST_CHUNK_SIZE = 10_000 RESULTS_BASEPATH, RESULTS_FILENAME = os.path.split(__file__) RESULTS_FILE_PATH = os.path.join(RESULTS...
datasets/benchmarks/benchmark_getitem_100B.py/0
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# Datasets 🤝 Arrow ## What is Arrow? [Arrow](https://arrow.apache.org/) enables large amounts of data to be processed and moved quickly. It is a specific data format that stores data in a columnar memory layout. This provides several significant advantages: * Arrow's standard format allows [zero-copy reads](https:/...
datasets/docs/source/about_arrow.md/0
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# Search index [FAISS](https://github.com/facebookresearch/faiss) and [Elasticsearch](https://www.elastic.co/elasticsearch/) enables searching for examples in a dataset. This can be useful when you want to retrieve specific examples from a dataset that are relevant to your NLP task. For example, if you are working on ...
datasets/docs/source/faiss_es.mdx/0
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# Builder classes ## Builders 🤗 Datasets relies on two main classes during the dataset building process: [`DatasetBuilder`] and [`BuilderConfig`]. [[autodoc]] datasets.DatasetBuilder [[autodoc]] datasets.GeneratorBasedBuilder [[autodoc]] datasets.ArrowBasedBuilder [[autodoc]] datasets.BuilderConfig ## Download ...
datasets/docs/source/package_reference/builder_classes.mdx/0
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# Use with JAX This document is a quick introduction to using `datasets` with JAX, with a particular focus on how to get `jax.Array` objects out of our datasets, and how to use them to train JAX models. <Tip> `jax` and `jaxlib` are required to reproduce to code above, so please make sure you install them as `pip ins...
datasets/docs/source/use_with_jax.mdx/0
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# 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 # # Unless required by applicable law or agreed to in wr...
datasets/src/datasets/arrow_writer.py/0
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# Copyright 2020 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 # # Unless required by applicable law or a...
datasets/src/datasets/download/download_manager.py/0
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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/polars_formatter.py/0
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# 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/keyhash.py/0
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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
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[ "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
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import os from collections import namedtuple import pytest from datasets import ClassLabel, Features, Sequence, Value from datasets.commands.test import TestCommand from datasets.info import DatasetInfo, DatasetInfosDict _TestCommandArgs = namedtuple( "_TestCommandArgs", [ "dataset", "name",...
datasets/tests/commands/test_test.py/0
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import pytest from datasets import Dataset, Features, Video from ..utils import require_decord @require_decord @pytest.mark.parametrize( "build_example", [ lambda video_path: video_path, lambda video_path: open(video_path, "rb").read(), lambda video_path: {"path": video_path}, ...
datasets/tests/features/test_video.py/0
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import shutil import textwrap import numpy as np import pytest from datasets import Audio, ClassLabel, Features, Value from datasets.builder import InvalidConfigName from datasets.data_files import DataFilesDict, DataFilesList, get_data_patterns from datasets.download.streaming_download_manager import StreamingDownlo...
datasets/tests/packaged_modules/test_audiofolder.py/0
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import copy import os from pathlib import Path from typing import List from unittest.mock import patch import fsspec import pytest from fsspec.registry import _registry as _fsspec_registry from fsspec.spec import AbstractFileSystem from datasets.data_files import ( DataFilesDict, DataFilesList, DataFilesP...
datasets/tests/test_data_files.py/0
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import pytest from datasets.exceptions import DatasetNotFoundError from datasets.inspect import ( get_dataset_config_info, get_dataset_config_names, get_dataset_default_config_name, get_dataset_infos, get_dataset_split_names, ) pytestmark = pytest.mark.integration @pytest.mark.parametrize( ...
datasets/tests/test_inspect.py/0
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import asyncio import importlib.metadata import os import re import sys import tempfile import unittest from contextlib import contextmanager from copy import deepcopy from distutils.util import strtobool from enum import Enum from importlib.util import find_spec from pathlib import Path from unittest.mock import patch...
datasets/tests/utils.py/0
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cff-version: 1.2.0 title: 'Diffusers: State-of-the-art diffusion models' message: >- If you use this software, please cite it using the metadata from this file. type: software authors: - given-names: Patrick family-names: von Platen - given-names: Suraj family-names: Patil - given-names: Anton fam...
diffusers/CITATION.cff/0
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import argparse import sys sys.path.append(".") from base_classes import TextToImageBenchmark, TurboTextToImageBenchmark # noqa: E402 ALL_T2I_CKPTS = [ "Lykon/DreamShaper", "segmind/SSD-1B", "stabilityai/stable-diffusion-xl-base-1.0", "kandinsky-community/kandinsky-2-2-decoder", "warp-ai/wuerst...
diffusers/benchmarks/benchmark_text_to_image.py/0
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# docstyle-ignore INSTALL_CONTENT = """ # Diffusers installation ! pip install diffusers transformers datasets accelerate # To install from source instead of the last release, comment the command above and uncomment the following one. # ! pip install git+https://github.com/huggingface/diffusers.git """ notebook_first_...
diffusers/docs/source/_config.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/logging.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/consisid_transformer3d.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/dit.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/stable_audio.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/stable_diffusion/stable_diffusion_xl.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/schedulers/multistep_dpm_solver.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/conceptual/ethical_guidelines.md/0
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# ParaAttention <div class="flex justify-center"> <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/para-attn/flux-performance.png"> </div> <div class="flex justify-center"> <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/d...
diffusers/docs/source/en/optimization/para_attn.md/0
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<!--Copyright 2024 Custom Diffusion authors 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...
diffusers/docs/source/en/training/custom_diffusion.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/tutorials/basic_training.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/img2img.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/scheduler_features.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/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/ko/optimization/mps.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/overview.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/other-formats.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/zh/consisid.md/0
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# 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://arxiv.org/abs/2106.09685) by *Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen*. ...
diffusers/examples/cogvideo/README.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 applicabl...
diffusers/examples/community/fresco_v2v.py/0
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## ---------------------------------------------------------- # A SDXL pipeline can take unlimited weighted prompt # # Author: Andrew Zhu # GitHub: https://github.com/xhinker # Medium: https://medium.com/@xhinker ## ----------------------------------------------------------- import inspect import os from typing import...
diffusers/examples/community/lpw_stable_diffusion_xl.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_stable_diffusion_xl_differential_img2img.py/0
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# Inspired by: https://github.com/haofanwang/ControlNet-for-Diffusers/ import inspect from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import PIL.Image import torch import torch.nn.functional as F from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer from di...
diffusers/examples/community/stable_diffusion_controlnet_inpaint.py/0
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import inspect from typing import List, Optional, Tuple, Union import torch from torch.nn import functional as F from transformers import CLIPTextModelWithProjection, CLIPTokenizer from transformers.models.clip.modeling_clip import CLIPTextModelOutput from diffusers import ( DiffusionPipeline, ImagePipelineOu...
diffusers/examples/community/unclip_text_interpolation.py/0
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# DreamBooth training example [DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few(3~5) images of a subject. The `train_dreambooth.py` script shows how to implement the training procedure and adapt it for stable diffusion. ## Running local...
diffusers/examples/dreambooth/README.md/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_lora_edm.py/0
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# Training Flux Control This (experimental) example shows how to train Control LoRAs with [Flux](https://huggingface.co/black-forest-labs/FLUX.1-dev) by conditioning it with additional structural controls (like depth maps, poses, etc.). We provide a script for full fine-tuning, too, refer to [this section](#full-fine-...
diffusers/examples/flux-control/README.md/0
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# 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/LICENSE-2.0 # # Unless r...
diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py/0
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import argparse import math import os from pathlib import Path import colossalai import torch import torch.nn.functional as F import torch.utils.checkpoint from colossalai.context.parallel_mode import ParallelMode from colossalai.core import global_context as gpc from colossalai.logging import disable_existing_loggers...
diffusers/examples/research_projects/colossalai/train_dreambooth_colossalai.py/0
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import argparse import math import os import random from pathlib import Path import numpy as np import torch import torch.nn.functional as F import torch.utils.checkpoint from accelerate import Accelerator from accelerate.logging import get_logger from accelerate.utils import ProjectConfiguration, set_seed from huggin...
diffusers/examples/research_projects/dreambooth_inpaint/train_dreambooth_inpaint_lora.py/0
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#!/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/instructpix2pix_lora/train_instruct_pix2pix_lora.py/0
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# Stable Diffusion text-to-image fine-tuning This extended LoRA training script was authored by [haofanwang](https://github.com/haofanwang). This is an experimental LoRA extension of [this example](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora.py). We further support...
diffusers/examples/research_projects/lora/README.md/0
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# Stable Diffusion text-to-image fine-tuning The `train_text_to_image.py` script shows how to fine-tune stable diffusion model on your own dataset. ___Note___: ___This script is experimental. The script fine-tunes the whole model and often times the model overfits and runs into issues like catastrophic forgetting. I...
diffusers/examples/research_projects/onnxruntime/text_to_image/README.md/0
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# PromptDiffusion Pipeline From the project [page](https://zhendong-wang.github.io/prompt-diffusion.github.io/) "With a prompt consisting of a task-specific example pair of images and text guidance, and a new query image, Prompt Diffusion can comprehend the desired task and generate the corresponding output image on ...
diffusers/examples/research_projects/promptdiffusion/README.md/0
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# Scheduled Pseudo-Huber Loss for Diffusers These are the modifications of to include the possibility of training text2image models with Scheduled Pseudo Huber loss, introduced in https://arxiv.org/abs/2403.16728. (https://github.com/kabachuha/SPHL-for-stable-diffusion) ## Why this might be useful? - If you suspect ...
diffusers/examples/research_projects/scheduled_huber_loss_training/README.md/0
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#!/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/vae/vae_roundtrip.py/0
{ "file_path": "diffusers/examples/research_projects/vae/vae_roundtrip.py", "repo_id": "diffusers", "token_count": 3616 }
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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/test_examples_utils.py/0
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126
#!/usr/bin/env python3 import argparse import math import os from copy import deepcopy import requests import torch from audio_diffusion.models import DiffusionAttnUnet1D from diffusion import sampling from torch import nn from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel MODELS_MAP = { ...
diffusers/scripts/convert_dance_diffusion_to_diffusers.py/0
{ "file_path": "diffusers/scripts/convert_dance_diffusion_to_diffusers.py", "repo_id": "diffusers", "token_count": 4637 }
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import argparse import tempfile import torch from accelerate import load_checkpoint_and_dispatch from transformers import CLIPTextModelWithProjection, CLIPTokenizer from diffusers import UnCLIPPipeline, UNet2DConditionModel, UNet2DModel from diffusers.models.transformers.prior_transformer import PriorTransformer from...
diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py/0
{ "file_path": "diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py", "repo_id": "diffusers", "token_count": 18242 }
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# 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/scripts/convert_original_musicldm_to_diffusers.py/0
{ "file_path": "diffusers/scripts/convert_original_musicldm_to_diffusers.py", "repo_id": "diffusers", "token_count": 19562 }
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import argparse import safetensors.torch from diffusers import AutoencoderTiny """ Example - From the diffusers root directory: Download the weights: ```sh $ wget -q https://huggingface.co/madebyollin/taesd/resolve/main/taesd_encoder.safetensors $ wget -q https://huggingface.co/madebyollin/taesd/resolve/main/taesd...
diffusers/scripts/convert_tiny_autoencoder_to_diffusers.py/0
{ "file_path": "diffusers/scripts/convert_tiny_autoencoder_to_diffusers.py", "repo_id": "diffusers", "token_count": 990 }
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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/commands/env.py/0
{ "file_path": "diffusers/src/diffusers/commands/env.py", "repo_id": "diffusers", "token_count": 2858 }
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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/ip_adapter.py/0
{ "file_path": "diffusers/src/diffusers/loaders/ip_adapter.py", "repo_id": "diffusers", "token_count": 20892 }
132
# 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/src/diffusers/models/activations.py/0
{ "file_path": "diffusers/src/diffusers/models/activations.py", "repo_id": "diffusers", "token_count": 2590 }
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# Copyright 2024 Ollin Boer Bohan 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/models/autoencoders/autoencoder_tiny.py/0
{ "file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_tiny.py", "repo_id": "diffusers", "token_count": 6567 }
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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/controlnets/controlnet_union.py/0
{ "file_path": "diffusers/src/diffusers/models/controlnets/controlnet_union.py", "repo_id": "diffusers", "token_count": 17876 }
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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/resnet_flax.py/0
{ "file_path": "diffusers/src/diffusers/models/resnet_flax.py", "repo_id": "diffusers", "token_count": 1884 }
136
# Copyright 2024 The RhymesAI 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/transformer_allegro.py/0
{ "file_path": "diffusers/src/diffusers/models/transformers/transformer_allegro.py", "repo_id": "diffusers", "token_count": 7693 }
137
# 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_blocks_flax.py/0
{ "file_path": "diffusers/src/diffusers/models/unets/unet_2d_blocks_flax.py", "repo_id": "diffusers", "token_count": 6961 }
138
from typing import TYPE_CHECKING from ..utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_flax_available, is_k_diffusion_available, is_librosa_available, is_note_seq_available, is_onnx_available, is_sentencepiece_avail...
diffusers/src/diffusers/pipelines/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/__init__.py", "repo_id": "diffusers", "token_count": 14317 }
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from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_transformers_available, is_transformers_version, ) _dummy_objects = {} _import_structure = {} try: if not (is_transformers_available() and is...
diffusers/src/diffusers/pipelines/audioldm/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/audioldm/__init__.py", "repo_id": "diffusers", "token_count": 581 }
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from ...models.controlnets.multicontrolnet import MultiControlNetModel from ...utils import deprecate, logging logger = logging.get_logger(__name__) class MultiControlNetModel(MultiControlNetModel): def __init__(self, *args, **kwargs): deprecation_message = "Importing `MultiControlNetModel` from `diffus...
diffusers/src/diffusers/pipelines/controlnet/multicontrolnet.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/controlnet/multicontrolnet.py", "repo_id": "diffusers", "token_count": 217 }
141
# Copyright 2024 Stability AI, The HuggingFace Team and The AlimamaCreative 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/L...
diffusers/src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet_inpainting.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet_inpainting.py", "repo_id": "diffusers", "token_count": 28514 }
142
import html import inspect import re import urllib.parse as ul from typing import Any, Callable, Dict, List, Optional, Union import numpy as np import PIL.Image import torch import torch.nn.functional as F from transformers import CLIPImageProcessor, T5EncoderModel, T5Tokenizer from ...loaders import StableDiffusionL...
diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_if_superresolution.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_if_superresolution.py", "repo_id": "diffusers", "token_count": 18427 }
143
# 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/deprecated/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deprecated/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py", "repo_id": "diffusers", "token_count": 2148 }
144
# Copyright 2024 TIME 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 requi...
diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_model_editing.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_model_editing.py", "repo_id": "diffusers", "token_count": 18367 }
145
# Copyright 2024 The HunyuanVideo 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 # # Un...
diffusers/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py", "repo_id": "diffusers", "token_count": 16914 }
146
# 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/kandinsky2_2/pipeline_kandinsky2_2_combined.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py", "repo_id": "diffusers", "token_count": 18875 }
147
# Copyright 2024 ChatGLM3-6B Model Team, Kwai-Kolors 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...
diffusers/src/diffusers/pipelines/kolors/tokenizer.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/kolors/tokenizer.py", "repo_id": "diffusers", "token_count": 5907 }
148
# Copyright 2024 OmniGen 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 requ...
diffusers/src/diffusers/pipelines/omnigen/processor_omnigen.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/omnigen/processor_omnigen.py", "repo_id": "diffusers", "token_count": 6646 }
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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/sana/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/sana/__init__.py", "repo_id": "diffusers", "token_count": 508 }
150
# 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_cascade/pipeline_stable_cascade_combined.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_combined.py", "repo_id": "diffusers", "token_count": 7485 }
151
# 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/pipeline_stable_diffusion_image_variation.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_image_variation.py", "repo_id": "diffusers", "token_count": 9438 }
152
import inspect import warnings from typing import Callable, List, Optional, Union import numpy as np import torch from packaging import version from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection from ...configuration_utils import FrozenDict from ...image_processor...
diffusers/src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py", "repo_id": "diffusers", "token_count": 17645 }
153
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union from ..base import DiffusersQuantizer if TYPE_CHECKING: from ...models.modeling_utils import ModelMixin from ...utils import ( get_module_from_name, is_accelerate_available, is_accelerate_version, is_gguf_available, is_gguf_...
diffusers/src/diffusers/quantizers/gguf/gguf_quantizer.py/0
{ "file_path": "diffusers/src/diffusers/quantizers/gguf/gguf_quantizer.py", "repo_id": "diffusers", "token_count": 2485 }
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# Copyright 2024 Stanford 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_ddim_flax.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_ddim_flax.py", "repo_id": "diffusers", "token_count": 5537 }
155
# Copyright 2024 Katherine Crowson 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/schedulers/scheduling_euler_ancestral_discrete.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py", "repo_id": "diffusers", "token_count": 8884 }
156
# Copyright 2024 Shuchen Xue, etc. in University of Chinese Academy of Sciences 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 # # htt...
diffusers/src/diffusers/schedulers/scheduling_sasolver.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_sasolver.py", "repo_id": "diffusers", "token_count": 26440 }
157
# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import DummyObject, requires_backends class FlaxControlNetModel(metaclass=DummyObject): _backends = ["flax"] def __init__(self, *args, **kwargs): requires_backends(self, ["flax"]) @classmethod def from_c...
diffusers/src/diffusers/utils/dummy_flax_objects.py/0
{ "file_path": "diffusers/src/diffusers/utils/dummy_flax_objects.py", "repo_id": "diffusers", "token_count": 2343 }
158
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 .import_utils import BACKENDS_MAPPING, is_imageio_available def load_image( image: Union[str, PIL.Image.Image], convert_me...
diffusers/src/diffusers/utils/loading_utils.py/0
{ "file_path": "diffusers/src/diffusers/utils/loading_utils.py", "repo_id": "diffusers", "token_count": 2302 }
159
# 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/test_layers_utils.py/0
{ "file_path": "diffusers/tests/models/test_layers_utils.py", "repo_id": "diffusers", "token_count": 10834 }
160
# 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_latte.py/0
{ "file_path": "diffusers/tests/models/transformers/test_models_transformer_latte.py", "repo_id": "diffusers", "token_count": 1241 }
161
# 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/unets/test_models_unet_motion.py/0
{ "file_path": "diffusers/tests/models/unets/test_models_unet_motion.py", "repo_id": "diffusers", "token_count": 5224 }
162
# Copyright 2024 The HuggingFace 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 law or agreed to in...
diffusers/tests/pipelines/consisid/test_consisid.py/0
{ "file_path": "diffusers/tests/pipelines/consisid/test_consisid.py", "repo_id": "diffusers", "token_count": 6129 }
163
# 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/deepfloyd_if/test_if_img2img.py/0
{ "file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if_img2img.py", "repo_id": "diffusers", "token_count": 2344 }
164
# 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/kandinsky2_2/test_kandinsky_combined.py/0
{ "file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_combined.py", "repo_id": "diffusers", "token_count": 6141 }
165
# Copyright 2024 Marigold authors, PRS ETH Zurich. All rights reserved. # 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 # # htt...
diffusers/tests/pipelines/marigold/test_marigold_depth.py/0
{ "file_path": "diffusers/tests/pipelines/marigold/test_marigold_depth.py", "repo_id": "diffusers", "token_count": 8593 }
166
# 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/pag/test_pag_pixart_sigma.py/0
{ "file_path": "diffusers/tests/pipelines/pag/test_pag_pixart_sigma.py", "repo_id": "diffusers", "token_count": 7250 }
167
# 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/pixart_alpha/test_pixart.py/0
{ "file_path": "diffusers/tests/pipelines/pixart_alpha/test_pixart.py", "repo_id": "diffusers", "token_count": 7258 }
168