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//load the candle SAM Model wasm module import init, { Model } from "./build/m.js"; async function fetchArrayBuffer(url, cacheModel = true) { if (!cacheModel) return new Uint8Array(await (await fetch(url)).arrayBuffer()); const cacheName = "sam-candle-cache"; const cache = await caches.open(cacheName); con...
candle/candle-wasm-examples/segment-anything/samWorker.js/0
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8" /> <title>Welcome to Candle!</title> <link data-trunk rel="copy-file" href="mel_filters.safetensors" /> <!-- samples --> <link data-trunk rel="copy-dir" href="audios" /> <!-- tiny.en --> <link data-trunk rel="copy-dir" href="whi...
candle/candle-wasm-examples/whisper/index.html/0
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<html> <head> <meta content="text/html;charset=utf-8" http-equiv="Content-Type" /> <title>Candle YOLOv8 Rust/WASM</title> </head> <body></body> </html> <!DOCTYPE html> <html> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <style> ...
candle/candle-wasm-examples/yolo/lib-example.html/0
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use candle::quantized::{gguf_file, GgmlDType, QTensor}; use candle::{Device, Result}; use clap::{Parser, Subcommand, ValueEnum}; use rayon::prelude::*; #[derive(ValueEnum, Debug, Clone)] enum QuantizationMode { /// The default quantization includes all 2d tensors, except the output tensor which always /// uses...
candle/tensor-tools/src/main.rs/0
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repos: - repo: https://github.com/charliermarsh/ruff-pre-commit # https://github.com/charliermarsh/ruff#usage rev: 'v0.3.0' hooks: # Run the linter. - id: ruff args: [ --fix ] # Run the formatter. - id: ruff-format
datasets/.pre-commit-config.yaml/0
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import json import sys def format_json_to_md(input_json_file, output_md_file): with open(input_json_file, encoding="utf-8") as f: results = json.load(f) output_md = ["<details>", "<summary>Show updated benchmarks!</summary>", " "] for benchmark_name in sorted(results): benchmark_res = re...
datasets/benchmarks/format.py/0
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# Batch mapping Combining the utility of [`Dataset.map`] with batch mode is very powerful. It allows you to speed up processing, and freely control the size of the generated dataset. ## Need for speed The primary objective of batch mapping is to speed up processing. Often times, it is faster to work with batches of...
datasets/docs/source/about_map_batch.mdx/0
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# Create an image dataset There are two methods for creating and sharing an image dataset. This guide will show you how to: * Create an image dataset from local files in python with [`Dataset.push_to_hub`]. This is an easy way that requires only a few steps in python. * Create an image dataset with `ImageFolder` and...
datasets/docs/source/image_dataset.mdx/0
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# Utilities ## Configure logging 🤗 Datasets strives to be transparent and explicit about how it works, but this can be quite verbose at times. We have included a series of logging methods which allow you to easily adjust the level of verbosity of the entire library. Currently the default verbosity of the library is ...
datasets/docs/source/package_reference/utilities.mdx/0
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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
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import os import re import shutil from argparse import ArgumentParser, Namespace from datasets.commands import BaseDatasetsCLICommand from datasets.utils.logging import get_logger HIGHLIGHT_MESSAGE_PRE = """<<<<<<< This should probably be modified because it mentions: """ HIGHLIGHT_MESSAGE_POST = """======= >>>>>>>...
datasets/src/datasets/commands/convert.py/0
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import os from dataclasses import dataclass, field from io import BytesIO from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union import numpy as np import pyarrow as pa from .. import config from ..download.download_config import DownloadConfig from ..table import array_cast from ..utils.file_utils im...
datasets/src/datasets/features/audio.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/info.py/0
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import itertools from dataclasses import dataclass from typing import Optional import pyarrow as pa import datasets from datasets.features.features import require_storage_cast from datasets.table import table_cast logger = datasets.utils.logging.get_logger(__name__) @dataclass class XmlConfig(datasets.BuilderConf...
datasets/src/datasets/packaged_modules/xml/xml.py/0
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# deprecated, please use the `filelock` package instead from filelock import ( # noqa: F401 # imported for backward compatibility TODO: remove in 3.0.0 BaseFileLock, SoftFileLock, Timeout, UnixFileLock, WindowsFileLock, ) from ._filelock import FileLock # noqa: F401 # imported for backward compa...
datasets/src/datasets/utils/filelock.py/0
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"""Utility helpers to handle progress bars in `datasets`. Example: 1. Use `datasets.utils.tqdm` as you would use `tqdm.tqdm` or `tqdm.auto.tqdm`. 2. To disable progress bars, either use `disable_progress_bars()` helper or set the environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` to 1. 3. To r...
datasets/src/datasets/utils/tqdm.py/0
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import os import time import uuid from contextlib import contextmanager from typing import Optional import pytest import requests from huggingface_hub.hf_api import HfApi, RepositoryNotFoundError from huggingface_hub.utils import hf_raise_for_status CI_HUB_USER = "__DUMMY_TRANSFORMERS_USER__" CI_HUB_USER_FULL_NAME =...
datasets/tests/fixtures/hub.py/0
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import shutil import textwrap import numpy as np import pytest from datasets import ClassLabel, Features, Image, 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_imagefolder.py/0
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import json import os from pathlib import Path import pytest from datasets.download.download_config import DownloadConfig from datasets.download.download_manager import DownloadManager from datasets.download.streaming_download_manager import StreamingDownloadManager from datasets.utils.file_utils import hash_url_to_f...
datasets/tests/test_download_manager.py/0
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from tempfile import NamedTemporaryFile import pytest import requests from datasets.utils.file_utils import fsspec_get, fsspec_head from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline, require_not_windows @pytest.mark.integration @require_not_windows # fsspec get keeps a file hand...
datasets/tests/test_offline_util.py/0
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include LICENSE include src/diffusers/utils/model_card_template.md
diffusers/MANIFEST.in/0
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FROM ubuntu:20.04 LABEL maintainer="Hugging Face" LABEL repository="diffusers" ENV DEBIAN_FRONTEND=noninteractive RUN apt-get -y update \ && apt-get install -y software-properties-common \ && add-apt-repository ppa:deadsnakes/ppa RUN apt install -y bash \ build-essential \ ...
diffusers/docker/diffusers-doc-builder/Dockerfile/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/attnprocessor.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/pipelines/overview.md/0
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<!--Copyright 2024 The GLIGEN 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 required by a...
diffusers/docs/source/en/api/pipelines/stable_diffusion/gligen.md/0
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# xDiT [xDiT](https://github.com/xdit-project/xDiT) is an inference engine designed for the large scale parallel deployment of Diffusion Transformers (DiTs). xDiT provides a suite of efficient parallel approaches for Diffusion Models, as well as GPU kernel accelerations. There are four parallel methods supported in x...
diffusers/docs/source/en/optimization/xdit.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/training/instructpix2pix.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/using_peft_for_inference.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/ip_adapter.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/shap-e.md/0
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- sections: - local: index title: 🧨 Diffusers - local: quicktour title: "훑어보기" - local: stable_diffusion title: Stable Diffusion - local: installation title: 설치 title: 시작하기 - sections: - local: tutorials/tutorial_overview title: 개요 - local: using-diffusers/write_own_pipeline title...
diffusers/docs/source/ko/_toctree.yml/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/torch2.0.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 agree...
diffusers/docs/source/ko/tutorials/basic_training.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/using-diffusers/shap-e.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/stable_diffusion.md/0
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""" modeled after the textual_inversion.py / train_dreambooth.py and the work of justinpinkney here: https://github.com/justinpinkney/stable-diffusion/blob/main/notebooks/imagic.ipynb """ import inspect import warnings from typing import List, Optional, Union import numpy as np import PIL.Image import torch import to...
diffusers/examples/community/imagic_stable_diffusion.py/0
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from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import torch from PIL import Image, ImageFilter from diffusers.image_processor import PipelineImageInput from diffusers.pipelines.stable_diffusion_xl.pipeline_output import StableDiffusionXLPipelineOutput from diffusers.pipelines....
diffusers/examples/community/masked_stable_diffusion_xl_img2img.py/0
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# Copyright 2024 HunyuanDiT Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
diffusers/examples/community/pipeline_hunyuandit_differential_img2img.py/0
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# A diffuser version implementation of Zero1to3 (https://github.com/cvlab-columbia/zero123), ICCV 2023 # by Xin Kong import inspect from typing import Any, Callable, Dict, List, Optional, Union import kornia import numpy as np import PIL.Image import torch from packaging import version from transformers import CLIPIm...
diffusers/examples/community/pipeline_zero1to3.py/0
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from typing import Any, Callable, Dict, List, Optional, Union import PIL.Image import torch from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer from diffusers import ( AutoencoderKL, DDIMScheduler, DiffusionPipeline, LMSDiscreteScheduler, PNDMScheduler, StableDiffusionImg...
diffusers/examples/community/stable_diffusion_mega.py/0
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# DreamBooth training example for Stable Diffusion 3 (SD3) [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_sd3.py` script shows how to implement the training procedure and adapt it for [...
diffusers/examples/dreambooth/README_sd3.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_sd3.py/0
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# 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
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# 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
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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/controlnet/train_controlnet_webdataset.py/0
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compute_environment: LOCAL_MACHINE debug: false deepspeed_config: gradient_accumulation_steps: 1 gradient_clipping: 1.0 offload_optimizer_device: cpu offload_param_device: cpu zero3_init_flag: false zero_stage: 2 distributed_type: DEEPSPEED downcast_bf16: 'no' enable_cpu_affinity: false machine_rank: 0 main...
diffusers/examples/research_projects/flux_lora_quantization/ds2.yaml/0
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# Generating images using Flux and PyTorch/XLA The `flux_inference` script shows how to do image generation using Flux on TPU devices using PyTorch/XLA. It uses the pallas kernel for flash attention for faster generation. It has been tested on [Trillium](https://cloud.google.com/blog/products/compute/introducing-tril...
diffusers/examples/research_projects/pytorch_xla/inference/flux/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/scheduled_huber_loss_training/text_to_image/train_text_to_image.py/0
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import argparse import logging import math import os import random from pathlib import Path import jax import jax.numpy as jnp import numpy as np import optax import PIL import torch import torch.utils.checkpoint import transformers from flax import jax_utils from flax.training import train_state from flax.training.co...
diffusers/examples/textual_inversion/textual_inversion_flax.py/0
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import argparse import os import torch from huggingface_hub import create_repo, upload_folder from safetensors.torch import load_file, save_file def convert_motion_module(original_state_dict): converted_state_dict = {} for k, v in original_state_dict.items(): if "pos_encoder" in k: contin...
diffusers/scripts/convert_animatediff_motion_lora_to_diffusers.py/0
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# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint. # *Only* converts the UNet, VAE, and Text Encoder. # Does not convert optimizer state or any other thing. import argparse import os.path as osp import re import torch from safetensors.torch import load_file, save_file # ========...
diffusers/scripts/convert_diffusers_to_original_sdxl.py/0
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# coding=utf-8 # Copyright 2024, Haofan Wang, Qixun Wang, 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/scripts/convert_lora_safetensor_to_diffusers.py/0
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import argparse import os import torch from transformers import T5EncoderModel, T5Tokenizer from diffusers import AutoencoderKL, DPMSolverMultistepScheduler, PixArtSigmaPipeline, Transformer2DModel ckpt_id = "PixArt-alpha" # https://github.com/PixArt-alpha/PixArt-sigma/blob/dd087141864e30ec44f12cb7448dd654be065e88/...
diffusers/scripts/convert_pixart_sigma_to_diffusers.py/0
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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, ) ...
diffusers/scripts/convert_vae_pt_to_diffusers.py/0
{ "file_path": "diffusers/scripts/convert_vae_pt_to_diffusers.py", "repo_id": "diffusers", "token_count": 3153 }
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# THIS FILE HAS BEEN AUTOGENERATED. To update: # 1. modify the `_deps` dict in setup.py # 2. run `make deps_table_update` deps = { "Pillow": "Pillow", "accelerate": "accelerate>=0.31.0", "compel": "compel==0.1.8", "datasets": "datasets", "filelock": "filelock", "flax": "flax>=0.4.1", "hf-doc...
diffusers/src/diffusers/dependency_versions_table.py/0
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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/src/diffusers/loaders/peft.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/models/attention_processor.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/models/cache_utils.py/0
{ "file_path": "diffusers/src/diffusers/models/cache_utils.py", "repo_id": "diffusers", "token_count": 1197 }
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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/downsampling.py/0
{ "file_path": "diffusers/src/diffusers/models/downsampling.py", "repo_id": "diffusers", "token_count": 7040 }
117
# Copyright 2024 ConsisID Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless ...
diffusers/src/diffusers/models/transformers/consisid_transformer_3d.py/0
{ "file_path": "diffusers/src/diffusers/models/transformers/consisid_transformer_3d.py", "repo_id": "diffusers", "token_count": 15854 }
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# Copyright 2024 The Hunyuan 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 ...
diffusers/src/diffusers/models/transformers/transformer_hunyuan_video.py/0
{ "file_path": "diffusers/src/diffusers/models/transformers/transformer_hunyuan_video.py", "repo_id": "diffusers", "token_count": 14518 }
119
# Copyright 2024 Alibaba DAMO-VILAB and The HuggingFace Team. All rights reserved. # Copyright 2024 The ModelScope 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.apa...
diffusers/src/diffusers/models/unets/unet_3d_condition.py/0
{ "file_path": "diffusers/src/diffusers/models/unets/unet_3d_condition.py", "repo_id": "diffusers", "token_count": 14949 }
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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 }
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# Copyright 2024 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": 24187 }
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# Copyright 2024 The CogVideoX team, Tsinghua University & ZhipuAI 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.o...
diffusers/src/diffusers/pipelines/cogview3/pipeline_cogview3plus.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py", "repo_id": "diffusers", "token_count": 33959 }
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from typing import TYPE_CHECKING from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule _import_structure = {"pipeline_dance_diffusion": ["DanceDiffusionPipeline"]} if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: from .pipeline_dance_diffusion import DanceDiffusionPipeline else: import sys sys.modules[__na...
diffusers/src/diffusers/pipelines/dance_diffusion/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/dance_diffusion/__init__.py", "repo_id": "diffusers", "token_count": 189 }
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from typing import List import PIL.Image import torch from PIL import Image from ...configuration_utils import ConfigMixin from ...models.modeling_utils import ModelMixin from ...utils import PIL_INTERPOLATION class IFWatermarker(ModelMixin, ConfigMixin): def __init__(self): super().__init__() ...
diffusers/src/diffusers/pipelines/deepfloyd_if/watermark.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/watermark.py", "repo_id": "diffusers", "token_count": 737 }
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# Copyright 2024 ETH Zurich Computer Vision Lab 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...
diffusers/src/diffusers/pipelines/deprecated/repaint/pipeline_repaint.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deprecated/repaint/pipeline_repaint.py", "repo_id": "diffusers", "token_count": 4213 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/deprecated/stochastic_karras_ve/pipeline_stochastic_karras_ve.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deprecated/stochastic_karras_ve/pipeline_stochastic_karras_ve.py", "repo_id": "diffusers", "token_count": 2264 }
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# Copyright 2024 HunyuanDiT Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
diffusers/src/diffusers/pipelines/hunyuandit/pipeline_hunyuandit.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/hunyuandit/pipeline_hunyuandit.py", "repo_id": "diffusers", "token_count": 19408 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py", "repo_id": "diffusers", "token_count": 11161 }
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# Copyright 2024 Alpha-VLLM 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 requir...
diffusers/src/diffusers/pipelines/lumina2/pipeline_lumina2.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/lumina2/pipeline_lumina2.py", "repo_id": "diffusers", "token_count": 16353 }
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from dataclasses import dataclass from typing import List, Optional, Union import numpy as np import PIL.Image from ...utils import BaseOutput @dataclass class SemanticStableDiffusionPipelineOutput(BaseOutput): """ Output class for Stable Diffusion pipelines. Args: images (`List[PIL.Image.Image...
diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py", "repo_id": "diffusers", "token_count": 306 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_latent_upscale.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_latent_upscale.py", "repo_id": "diffusers", "token_count": 13951 }
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from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_flax_available, is_torch_available, is_transformers_available, ) _dummy_objects = {} _additional_imports = {} _import_structure = {"pipel...
diffusers/src/diffusers/pipelines/stable_diffusion_xl/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/__init__.py", "repo_id": "diffusers", "token_count": 1202 }
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# Copyright (c) 2023 Dominic Rampas MIT License # 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/licen...
diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_prior.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_prior.py", "repo_id": "diffusers", "token_count": 3158 }
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# 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/torchao/torchao_quantizer.py/0
{ "file_path": "diffusers/src/diffusers/quantizers/torchao/torchao_quantizer.py", "repo_id": "diffusers", "token_count": 5406 }
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# Copyright 2024 UC Berkeley Team and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless ...
diffusers/src/diffusers/schedulers/scheduling_ddpm_flax.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_ddpm_flax.py", "repo_id": "diffusers", "token_count": 5292 }
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# Copyright 2024 Stability AI, 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-...
diffusers/src/diffusers/schedulers/scheduling_flow_match_heun_discrete.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_flow_match_heun_discrete.py", "repo_id": "diffusers", "token_count": 5283 }
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# Copyright 2024 Kakao Brain 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/schedulers/scheduling_unclip.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_unclip.py", "repo_id": "diffusers", "token_count": 6288 }
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# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import DummyObject, requires_backends class AudioDiffusionPipeline(metaclass=DummyObject): _backends = ["torch", "librosa"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "librosa"]) ...
diffusers/src/diffusers/utils/dummy_torch_and_librosa_objects.py/0
{ "file_path": "diffusers/src/diffusers/utils/dummy_torch_and_librosa_objects.py", "repo_id": "diffusers", "token_count": 397 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/utils/peft_utils.py/0
{ "file_path": "diffusers/src/diffusers/utils/peft_utils.py", "repo_id": "diffusers", "token_count": 4687 }
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# 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 agreed to in writ...
diffusers/tests/lora/test_lora_layers_cogvideox.py/0
{ "file_path": "diffusers/tests/lora/test_lora_layers_cogvideox.py", "repo_id": "diffusers", "token_count": 2352 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/models/autoencoders/test_models_autoencoder_kl.py/0
{ "file_path": "diffusers/tests/models/autoencoders/test_models_autoencoder_kl.py", "repo_id": "diffusers", "token_count": 8226 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/models/transformers/test_models_dit_transformer2d.py/0
{ "file_path": "diffusers/tests/models/transformers/test_models_dit_transformer2d.py", "repo_id": "diffusers", "token_count": 1438 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/models/transformers/test_models_transformer_mochi.py/0
{ "file_path": "diffusers/tests/models/transformers/test_models_transformer_mochi.py", "repo_id": "diffusers", "token_count": 1188 }
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/tests/others/test_check_copies.py/0
{ "file_path": "diffusers/tests/others/test_check_copies.py", "repo_id": "diffusers", "token_count": 2028 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/amused/test_amused.py/0
{ "file_path": "diffusers/tests/pipelines/amused/test_amused.py", "repo_id": "diffusers", "token_count": 3118 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/controlnet/test_controlnet.py/0
{ "file_path": "diffusers/tests/pipelines/controlnet/test_controlnet.py", "repo_id": "diffusers", "token_count": 19796 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc and The InstantX 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 b...
diffusers/tests/pipelines/controlnet_sd3/test_controlnet_sd3.py/0
{ "file_path": "diffusers/tests/pipelines/controlnet_sd3/test_controlnet_sd3.py", "repo_id": "diffusers", "token_count": 6315 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/deepfloyd_if/test_if_superresolution.py/0
{ "file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if_superresolution.py", "repo_id": "diffusers", "token_count": 2267 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/hunyuandit/test_hunyuan_dit.py/0
{ "file_path": "diffusers/tests/pipelines/hunyuandit/test_hunyuan_dit.py", "repo_id": "diffusers", "token_count": 5754 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_inpaint.py/0
{ "file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_inpaint.py", "repo_id": "diffusers", "token_count": 5553 }
152
# coding=utf-8 # Copyright 2024 Latte Team and 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 appli...
diffusers/tests/pipelines/latte/test_latte.py/0
{ "file_path": "diffusers/tests/pipelines/latte/test_latte.py", "repo_id": "diffusers", "token_count": 5094 }
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import gc import inspect import random import unittest import numpy as np import torch from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, AutoPipelineForImage2Image, FlowMatchEulerDiscreteScheduler, ...
diffusers/tests/pipelines/pag/test_pag_sd3_img2img.py/0
{ "file_path": "diffusers/tests/pipelines/pag/test_pag_sd3_img2img.py", "repo_id": "diffusers", "token_count": 4732 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/pndm/test_pndm.py/0
{ "file_path": "diffusers/tests/pipelines/pndm/test_pndm.py", "repo_id": "diffusers", "token_count": 1314 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_img2img.py/0
{ "file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_img2img.py", "repo_id": "diffusers", "token_count": 4278 }
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_upscale.py/0
{ "file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_upscale.py", "repo_id": "diffusers", "token_count": 8448 }
157
import gc import unittest import torch from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer from diffusers import ( AutoencoderKL, DDIMScheduler, DDPMScheduler, PriorTransformer, StableUnCLIPPipeline, UNet2DConditionModel, ) from diffusers.pipeline...
diffusers/tests/pipelines/stable_unclip/test_stable_unclip.py/0
{ "file_path": "diffusers/tests/pipelines/stable_unclip/test_stable_unclip.py", "repo_id": "diffusers", "token_count": 4086 }
158