text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
//! Mixtral Model, a sparse mixture of expert model based on the Mistral architecture
//!
//! See Mixtral model details at:
//! - [Hugging Face](https://huggingface.co/docs/transformers/model_doc/mixtral)
//! - [Mixtral-8x7B Blog Post](https://mistral.ai/news/mixtral-of-experts/)
//!
//! The model uses a mixture of exp... | candle/candle-transformers/src/models/mixtral.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mixtral.rs",
"repo_id": "candle",
"token_count": 9110
} | 50 |
//! OLMo (Open Language Model) implementation
//!
//! See OLMo model details at:
//! - [Hugging Face](https://huggingface.co/allenai/OLMo)
//! - [OLMo Paper](https://allenai.org/olmo)
//!
//! The model uses:
//! - RoPE embeddings
//! - Sliding window attention
//! - Transformer architecture
//!
//! References:
//! - [H... | candle/candle-transformers/src/models/olmo.rs/0 | {
"file_path": "candle/candle-transformers/src/models/olmo.rs",
"repo_id": "candle",
"token_count": 6178
} | 51 |
//! Mistral model implementation with quantization support.
//!
//! Mistral is a large language model optimized for efficiency.
//! This implementation provides quantization for reduced memory and compute.
//!
//! Key characteristics:
//! - Sliding window attention mechanism
//! - Grouped query attention (GQA)
//! - RM... | candle/candle-transformers/src/models/quantized_mistral.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_mistral.rs",
"repo_id": "candle",
"token_count": 5831
} | 52 |
//! # ResNet Implementation
//!
//! Implementation of ResNet architectures as described in the paper:
//!
//! ## Reference
//!
//! [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
//! He et al. (2015)
//!
//! This paper introduced ResNet, a deep neural network architecture that utilizes
... | candle/candle-transformers/src/models/resnet.rs/0 | {
"file_path": "candle/candle-transformers/src/models/resnet.rs",
"repo_id": "candle",
"token_count": 4023
} | 53 |
use candle::{Result, Tensor, D};
use candle_nn as nn;
use candle_nn::Module;
#[derive(Debug)]
pub struct TimestepEmbedding {
linear_1: nn::Linear,
linear_2: nn::Linear,
}
impl TimestepEmbedding {
// act_fn: "silu"
pub fn new(vs: nn::VarBuilder, channel: usize, time_embed_dim: usize) -> Result<Self> {
... | candle/candle-transformers/src/models/stable_diffusion/embeddings.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/embeddings.rs",
"repo_id": "candle",
"token_count": 1008
} | 54 |
//! Vision Transformer (ViT) implementation.
//!
//! Vision Transformer applies transformer architecture to image classification
//! by splitting images into patches and processing them as a sequence.
//!
//! Key characteristics:
//! - Image patches as sequence tokens
//! - Self-attention between patches
//! - Position... | candle/candle-transformers/src/models/vit.rs/0 | {
"file_path": "candle/candle-transformers/src/models/vit.rs",
"repo_id": "candle",
"token_count": 6028
} | 55 |
pub mod text_generation;
| candle/candle-transformers/src/pipelines/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/pipelines/mod.rs",
"repo_id": "candle",
"token_count": 7
} | 56 |
use yew_agent::PublicWorker;
fn main() {
console_error_panic_hook::set_once();
candle_wasm_example_llama2::Worker::register();
}
| candle/candle-wasm-examples/llama2-c/src/bin/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/bin/worker.rs",
"repo_id": "candle",
"token_count": 54
} | 57 |
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "phi-mixformer-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
return new... | candle/candle-wasm-examples/phi/phiWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/phi/phiWorker.js",
"repo_id": "candle",
"token_count": 1667
} | 58 |
use candle::{Device, Tensor};
use candle_transformers::generation::LogitsProcessor;
pub use candle_transformers::models::quantized_t5::{
Config, T5EncoderModel, T5ForConditionalGeneration, VarBuilder,
};
use candle_wasm_example_t5::console_log;
use tokenizers::Tokenizer;
use wasm_bindgen::prelude::*;
const DEVICE:... | candle/candle-wasm-examples/t5/src/bin/m-quantized.rs/0 | {
"file_path": "candle/candle-wasm-examples/t5/src/bin/m-quantized.rs",
"repo_id": "candle",
"token_count": 3555
} | 59 |
pub const WITH_TIMER: bool = true;
mod app;
mod audio;
pub mod languages;
pub mod worker;
pub use app::App;
pub use worker::Worker;
| candle/candle-wasm-examples/whisper/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/lib.rs",
"repo_id": "candle",
"token_count": 47
} | 60 |
//load the candle yolo wasm module
import init, { Model, ModelPose } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "yolo-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedR... | candle/candle-wasm-examples/yolo/yoloWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/yolo/yoloWorker.js",
"repo_id": "candle",
"token_count": 756
} | 61 |
<p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/datasets-logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/d... | datasets/README.md/0 | {
"file_path": "datasets/README.md",
"repo_id": "datasets",
"token_count": 3687
} | 62 |
# docstyle-ignore
INSTALL_CONTENT = """
# Datasets installation
! pip install datasets transformers
# 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/datasets.git
"""
notebook_first_cells = [{"type": "code... | datasets/docs/source/_config.py/0 | {
"file_path": "datasets/docs/source/_config.py",
"repo_id": "datasets",
"token_count": 118
} | 63 |
# Create a dataset card
Each dataset should have a dataset card to promote responsible usage and inform users of any potential biases within the dataset.
This idea was inspired by the Model Cards proposed by [Mitchell, 2018](https://arxiv.org/abs/1810.03993).
Dataset cards help users understand a dataset's contents, t... | datasets/docs/source/dataset_card.mdx/0 | {
"file_path": "datasets/docs/source/dataset_card.mdx",
"repo_id": "datasets",
"token_count": 756
} | 64 |
# Load text data
This guide shows you how to load text datasets. To learn how to load any type of dataset, take a look at the <a class="underline decoration-sky-400 decoration-2 font-semibold" href="./loading">general loading guide</a>.
Text files are one of the most common file types for storing a dataset. By defaul... | datasets/docs/source/nlp_load.mdx/0 | {
"file_path": "datasets/docs/source/nlp_load.mdx",
"repo_id": "datasets",
"token_count": 613
} | 65 |
# Overview
Welcome to the 🤗 Datasets tutorials! These beginner-friendly tutorials will guide you through the fundamentals of working with 🤗 Datasets. You'll load and prepare a dataset for training with your machine learning framework of choice. Along the way, you'll learn how to load different dataset configurations... | datasets/docs/source/tutorial.md/0 | {
"file_path": "datasets/docs/source/tutorial.md",
"repo_id": "datasets",
"token_count": 311
} | 66 |
# 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/__init__.py/0 | {
"file_path": "datasets/src/datasets/__init__.py",
"repo_id": "datasets",
"token_count": 513
} | 67 |
from typing import TypeVar
from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset
DatasetType = TypeVar("DatasetType", Dataset, IterableDataset)
def split_dataset_by_node(dataset: DatasetType, rank: int, world_size: int) -... | datasets/src/datasets/distributed.py/0 | {
"file_path": "datasets/src/datasets/distributed.py",
"repo_id": "datasets",
"token_count": 582
} | 68 |
# 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/formatting.py/0 | {
"file_path": "datasets/src/datasets/formatting/formatting.py",
"repo_id": "datasets",
"token_count": 11243
} | 69 |
import multiprocessing
from typing import TYPE_CHECKING, Optional, Union
from .. import Dataset, Features, config
from ..formatting import query_table
from ..packaged_modules.sql.sql import Sql
from ..utils import tqdm as hf_tqdm
from .abc import AbstractDatasetInputStream
if TYPE_CHECKING:
import sqlite3
i... | datasets/src/datasets/io/sql.py/0 | {
"file_path": "datasets/src/datasets/io/sql.py",
"repo_id": "datasets",
"token_count": 2007
} | 70 |
import collections
import itertools
import os
from dataclasses import dataclass
from typing import List, Optional, Tuple, Type
import pandas as pd
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.features.features import FeatureType
logger = datasets.utils.logging.get_logger(__name__)
... | datasets/src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py",
"repo_id": "datasets",
"token_count": 11915
} | 71 |
import itertools
from dataclasses import dataclass
from io import StringIO
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 TextCo... | datasets/src/datasets/packaged_modules/text/text.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/text/text.py",
"repo_id": "datasets",
"token_count": 2703
} | 72 |
# 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 applicabl... | datasets/src/datasets/utils/_dill.py/0 | {
"file_path": "datasets/src/datasets/utils/_dill.py",
"repo_id": "datasets",
"token_count": 8494
} | 73 |
{
"code": "Programming language (C++, Java, Javascript, Python, etc.)",
"aa": "Afar",
"aaa": "Ghotuo",
"aab": "Alumu-Tesu",
"aac": "Ari",
"aad": "Amal",
"aae": "Arbëreshë Albanian",
"aaf": "Aranadan",
"aag": "Ambrak",
"aah": "Abu' Arapesh",
"aai": "Arifama-Miniafia",
"aak... | datasets/src/datasets/utils/resources/languages.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/languages.json",
"repo_id": "datasets",
"token_count": 111198
} | 74 |
# ruff: noqa: F401
# This is the module that test_patching.py uses to test patch_submodule()
import os
import os as renamed_os
from os import path
from os import path as renamed_path
from os.path import join
from os.path import join as renamed_join
open = open # we just need to have a builtin inside this module to t... | datasets/tests/_test_patching.py/0 | {
"file_path": "datasets/tests/_test_patching.py",
"repo_id": "datasets",
"token_count": 95
} | 75 |
import os
import tarfile
import pyarrow as pa
import pytest
from datasets import Dataset, concatenate_datasets, load_dataset
from datasets.features import Audio, Features, Sequence, Value
from ..utils import (
require_librosa,
require_sndfile,
)
@pytest.fixture()
def tar_wav_path(shared_datadir, tmp_path_f... | datasets/tests/features/test_audio.py/0 | {
"file_path": "datasets/tests/features/test_audio.py",
"repo_id": "datasets",
"token_count": 11701
} | 76 |
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def _check_text_dataset(dataset, expected_features):
assert isinstance(dataset, Dataset)
... | datasets/tests/io/test_text.py/0 | {
"file_path": "datasets/tests/io/test_text.py",
"repo_id": "datasets",
"token_count": 1833
} | 77 |
import os
import tempfile
from pathlib import Path
from unittest import TestCase
import pyarrow as pa
import pytest
from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from... | datasets/tests/test_arrow_reader.py/0 | {
"file_path": "datasets/tests/test_arrow_reader.py",
"repo_id": "datasets",
"token_count": 5688
} | 78 |
from textwrap import dedent
from types import SimpleNamespace
from unittest.mock import patch
from urllib.parse import quote
import pytest
from huggingface_hub import CommitOperationAdd, CommitOperationDelete
from packaging import version
import datasets
from datasets.config import METADATA_CONFIGS_FIELD, PYARROW_VER... | datasets/tests/test_hub.py/0 | {
"file_path": "datasets/tests/test_hub.py",
"repo_id": "datasets",
"token_count": 3742
} | 79 |
import unittest
from unittest.mock import patch
import pytest
from pytest import CaptureFixture
from datasets.utils import (
are_progress_bars_disabled,
disable_progress_bars,
enable_progress_bars,
tqdm,
)
class TestTqdmUtils(unittest.TestCase):
@pytest.fixture(autouse=True)
def capsys(self,... | datasets/tests/test_tqdm.py/0 | {
"file_path": "datasets/tests/test_tqdm.py",
"repo_id": "datasets",
"token_count": 1804
} | 80 |
import argparse
import sys
sys.path.append(".")
from base_classes import InpaintingBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="Lykon/DreamShaper",
choices=[
"Lykon/DreamSha... | diffusers/benchmarks/benchmark_sd_inpainting.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_sd_inpainting.py",
"repo_id": "diffusers",
"token_count": 350
} | 81 |
<!--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/loaders/textual_inversion.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/textual_inversion.md",
"repo_id": "diffusers",
"token_count": 340
} | 82 |
<!-- 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 applic... | diffusers/docs/source/en/api/pipelines/ltx_video.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/ltx_video.md",
"repo_id": "diffusers",
"token_count": 2967
} | 83 |
<!--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_2.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_2.md",
"repo_id": "diffusers",
"token_count": 2283
} | 84 |
<!--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/video_processor.md/0 | {
"file_path": "diffusers/docs/source/en/api/video_processor.md",
"repo_id": "diffusers",
"token_count": 266
} | 85 |
<!--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/optimization/neuron.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/neuron.md",
"repo_id": "diffusers",
"token_count": 1077
} | 86 |
<!--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/cogvideox.md/0 | {
"file_path": "diffusers/docs/source/en/training/cogvideox.md",
"repo_id": "diffusers",
"token_count": 6078
} | 87 |
<!--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/unconditional_training.md/0 | {
"file_path": "diffusers/docs/source/en/training/unconditional_training.md",
"repo_id": "diffusers",
"token_count": 2949
} | 88 |
<!--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/depth2img.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/depth2img.md",
"repo_id": "diffusers",
"token_count": 878
} | 89 |
<!--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/pag.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/pag.md",
"repo_id": "diffusers",
"token_count": 5181
} | 90 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: クイックツアー
- local: stable_diffusion
title: 有効で効率の良い拡散モデル
- local: installation
title: インストール
title: はじめに
- sections:
- local: tutorials/tutorial_overview
title: 概要
- local: tutorials/autopipeline
title: AutoPipe... | diffusers/docs/source/ja/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/ja/_toctree.yml",
"repo_id": "diffusers",
"token_count": 166
} | 91 |
<!--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/coreml.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/coreml.md",
"repo_id": "diffusers",
"token_count": 8303
} | 92 |
<!--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/dreambooth.md/0 | {
"file_path": "diffusers/docs/source/ko/training/dreambooth.md",
"repo_id": "diffusers",
"token_count": 11694
} | 93 |
<!--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/kandinsky.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/kandinsky.md",
"repo_id": "diffusers",
"token_count": 16319
} | 94 |
<!--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/pt/installation.md/0 | {
"file_path": "diffusers/docs/source/pt/installation.md",
"repo_id": "diffusers",
"token_count": 2101
} | 95 |
#!/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/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py/0 | {
"file_path": "diffusers/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py",
"repo_id": "diffusers",
"token_count": 48955
} | 96 |
# Copyright 2022 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/ddim_noise_comparative_analysis.py/0 | {
"file_path": "diffusers/examples/community/ddim_noise_comparative_analysis.py",
"repo_id": "diffusers",
"token_count": 3415
} | 97 |
# Copyright 2024 Long Lian, 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... | diffusers/examples/community/llm_grounded_diffusion.py/0 | {
"file_path": "diffusers/examples/community/llm_grounded_diffusion.py",
"repo_id": "diffusers",
"token_count": 32844
} | 98 |
# 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_attentive_eraser.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_attentive_eraser.py",
"repo_id": "diffusers",
"token_count": 52117
} | 99 |
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
... | diffusers/examples/community/speech_to_image_diffusion.py/0 | {
"file_path": "diffusers/examples/community/speech_to_image_diffusion.py",
"repo_id": "diffusers",
"token_count": 5031
} | 100 |
from typing import Callable, List, Optional, Union
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | diffusers/examples/community/text_inpainting.py/0 | {
"file_path": "diffusers/examples/community/text_inpainting.py",
"repo_id": "diffusers",
"token_count": 5459
} | 101 |
# ControlNet training example for FLUX
The `train_controlnet_flux.py` script shows how to implement the ControlNet training procedure and adapt it for [FLUX](https://github.com/black-forest-labs/flux).
Training script provided by LibAI, which is an institution dedicated to the progress and achievement of artificial g... | diffusers/examples/controlnet/README_flux.md/0 | {
"file_path": "diffusers/examples/controlnet/README_flux.md",
"repo_id": "diffusers",
"token_count": 7094
} | 102 |
# Copyright 2024 Custom Diffusion authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | diffusers/examples/custom_diffusion/retrieve.py/0 | {
"file_path": "diffusers/examples/custom_diffusion/retrieve.py",
"repo_id": "diffusers",
"token_count": 1429
} | 103 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/dreambooth/test_dreambooth.py/0 | {
"file_path": "diffusers/examples/dreambooth/test_dreambooth.py",
"repo_id": "diffusers",
"token_count": 4466
} | 104 |
# Kandinsky2.2 text-to-image fine-tuning
Kandinsky 2.2 includes a prior pipeline that generates image embeddings from text prompts, and a decoder pipeline that generates the output image based on the image embeddings. We provide `train_text_to_image_prior.py` and `train_text_to_image_decoder.py` scripts to show you ho... | diffusers/examples/kandinsky2_2/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 4393
} | 105 |
# [DreamBooth](https://github.com/huggingface/diffusers/tree/main/examples/dreambooth) by [colossalai](https://github.com/hpcaitech/ColossalAI.git)
[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_dre... | diffusers/examples/research_projects/colossalai/README.md/0 | {
"file_path": "diffusers/examples/research_projects/colossalai/README.md",
"repo_id": "diffusers",
"token_count": 1659
} | 106 |
# Dreambooth for the inpainting model
This script was added by @thedarkzeno .
Please note that this script is not actively maintained, you can open an issue and tag @thedarkzeno or @patil-suraj though.
```bash
export MODEL_NAME="runwayml/stable-diffusion-inpainting"
export INSTANCE_DIR="path-to-instance-images"
expo... | diffusers/examples/research_projects/dreambooth_inpaint/README.md/0 | {
"file_path": "diffusers/examples/research_projects/dreambooth_inpaint/README.md",
"repo_id": "diffusers",
"token_count": 1501
} | 107 |
#!/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/multi_token_textual_inversion/textual_inversion.py/0 | {
"file_path": "diffusers/examples/research_projects/multi_token_textual_inversion/textual_inversion.py",
"repo_id": "diffusers",
"token_count": 16403
} | 108 |
import torch
import torchvision.transforms as T
from controlnet_aux import HEDdetector
from diffusers.utils import load_image
from examples.research_projects.pixart.controlnet_pixart_alpha import PixArtControlNetAdapterModel
from examples.research_projects.pixart.pipeline_pixart_alpha_controlnet import PixArtAlphaCont... | diffusers/examples/research_projects/pixart/run_pixart_alpha_controlnet_pipeline.py/0 | {
"file_path": "diffusers/examples/research_projects/pixart/run_pixart_alpha_controlnet_pipeline.py",
"repo_id": "diffusers",
"token_count": 895
} | 109 |
import argparse
import os
import torch
from PIL import Image, ImageFilter
from transformers import CLIPTextModel
from diffusers import DPMSolverMultistepScheduler, StableDiffusionInpaintPipeline, UNet2DConditionModel
parser = argparse.ArgumentParser(description="Inference")
parser.add_argument(
"--model_path",
... | diffusers/examples/research_projects/realfill/infer.py/0 | {
"file_path": "diffusers/examples/research_projects/realfill/infer.py",
"repo_id": "diffusers",
"token_count": 984
} | 110 |
# Show best practices for SDXL JAX
import time
import jax
import jax.numpy as jnp
import numpy as np
from flax.jax_utils import replicate
# Let's cache the model compilation, so that it doesn't take as long the next time around.
from jax.experimental.compilation_cache import compilation_cache as cc
from diffusers im... | diffusers/examples/research_projects/sdxl_flax/sdxl_single.py/0 | {
"file_path": "diffusers/examples/research_projects/sdxl_flax/sdxl_single.py",
"repo_id": "diffusers",
"token_count": 1341
} | 111 |
## Textual Inversion fine-tuning example
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable diffusion... | diffusers/examples/textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1784
} | 112 |
#!/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/vqgan/test_vqgan.py/0 | {
"file_path": "diffusers/examples/vqgan/test_vqgan.py",
"repo_id": "diffusers",
"token_count": 8162
} | 113 |
"""
Convert a CogView4 checkpoint from Megatron to the Diffusers format.
Example usage:
python scripts/convert_cogview4_to_diffusers.py \
--transformer_checkpoint_path 'your path/cogview4_6b/mp_rank_00/model_optim_rng.pt' \
--vae_checkpoint_path 'your path/cogview4_6b/imagekl_ch16.pt' \
--o... | diffusers/scripts/convert_cogview4_to_diffusers_megatron.py/0 | {
"file_path": "diffusers/scripts/convert_cogview4_to_diffusers_megatron.py",
"repo_id": "diffusers",
"token_count": 5537
} | 114 |
import argparse
import os
import shutil
from pathlib import Path
import onnx
import onnx_graphsurgeon as gs
import torch
from onnx import shape_inference
from packaging import version
from polygraphy.backend.onnx.loader import fold_constants
from torch.onnx import export
from diffusers import (
ControlNetModel,
... | diffusers/scripts/convert_stable_diffusion_controlnet_to_onnx.py/0 | {
"file_path": "diffusers/scripts/convert_stable_diffusion_controlnet_to_onnx.py",
"repo_id": "diffusers",
"token_count": 8995
} | 115 |
from typing import Any, Dict, List
from .configuration_utils import ConfigMixin, register_to_config
from .utils import CONFIG_NAME
class PipelineCallback(ConfigMixin):
"""
Base class for all the official callbacks used in a pipeline. This class provides a structure for implementing
custom callbacks and e... | diffusers/src/diffusers/callbacks.py/0 | {
"file_path": "diffusers/src/diffusers/callbacks.py",
"repo_id": "diffusers",
"token_count": 3396
} | 116 |
# 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/hooks/pyramid_attention_broadcast.py/0 | {
"file_path": "diffusers/src/diffusers/hooks/pyramid_attention_broadcast.py",
"repo_id": "diffusers",
"token_count": 5684
} | 117 |
# 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/utils.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/utils.py",
"repo_id": "diffusers",
"token_count": 1031
} | 118 |
# Copyright 2024 The Mochi 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/autoencoders/autoencoder_kl_mochi.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_mochi.py",
"repo_id": "diffusers",
"token_count": 21465
} | 119 |
# Copyright 2024 HunyuanDiT Authors, Qixun Wang 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/models/controlnets/controlnet_hunyuan.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/controlnet_hunyuan.py",
"repo_id": "diffusers",
"token_count": 7435
} | 120 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | diffusers/src/diffusers/models/modeling_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_utils.py",
"repo_id": "diffusers",
"token_count": 36751
} | 121 |
# Copyright 2024 Stability AI and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers/src/diffusers/models/transformers/stable_audio_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/stable_audio_transformer.py",
"repo_id": "diffusers",
"token_count": 8065
} | 122 |
# 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_1d_blocks.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_1d_blocks.py",
"repo_id": "diffusers",
"token_count": 11970
} | 123 |
# 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/vq_model.py/0 | {
"file_path": "diffusers/src/diffusers/models/vq_model.py",
"repo_id": "diffusers",
"token_count": 490
} | 124 |
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/cogvideo/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/cogvideo/__init__.py",
"repo_id": "diffusers",
"token_count": 729
} | 125 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
_LazyModule,
)
_import_structure = {
"pipeline_consistency_models": ["ConsistencyModelPipeline"],
}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_consistency_models import ConsistencyModelPipeline
else:
i... | diffusers/src/diffusers/pipelines/consistency_models/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/consistency_models/__init__.py",
"repo_id": "diffusers",
"token_count": 209
} | 126 |
# 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/audio_diffusion/mel.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/mel.py",
"repo_id": "diffusers",
"token_count": 2698
} | 127 |
# 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/stable_diffusion_variants/pipeline_cycle_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py",
"repo_id": "diffusers",
"token_count": 21377
} | 128 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_dit": ["DiTPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_dit import DiTPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/dit/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/dit/__init__.py",
"repo_id": "diffusers",
"token_count": 177
} | 129 |
# 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/free_init_utils.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/free_init_utils.py",
"repo_id": "diffusers",
"token_count": 3467
} | 130 |
import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class MCLIPConfig(XLMRobertaConfig):
model_type = "M-CLIP"
def __init__(self, transformerDimSize=1024, imageDimSize=768, **kwargs):
self.transformerDimensions = transformerDimSize
self.numDims = imageDimS... | diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py",
"repo_id": "diffusers",
"token_count": 405
} | 131 |
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/pixart_alpha/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pixart_alpha/__init__.py",
"repo_id": "diffusers",
"token_count": 687
} | 132 |
# Copyright 2024 Stability AI and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers/src/diffusers/pipelines/stable_audio/pipeline_stable_audio.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_audio/pipeline_stable_audio.py",
"repo_id": "diffusers",
"token_count": 15836
} | 133 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput, is_flax_available
@dataclass
class StableDiffusionPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 598
} | 134 |
# 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_video_diffusion/pipeline_stable_video_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py",
"repo_id": "diffusers",
"token_count": 13950
} | 135 |
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPT2Config, GPT2LMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
# Modified from ClipCapti... | diffusers/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py",
"repo_id": "diffusers",
"token_count": 6303
} | 136 |
# 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/bitsandbytes/bnb_quantizer.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/bitsandbytes/bnb_quantizer.py",
"repo_id": "diffusers",
"token_count": 11028
} | 137 |
# Copyright 2024 TSAIL 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 requir... | diffusers/src/diffusers/schedulers/scheduling_cosine_dpmsolver_multistep.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_cosine_dpmsolver_multistep.py",
"repo_id": "diffusers",
"token_count": 10861
} | 138 |
# Copyright 2024 Zhejiang University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers/src/diffusers/schedulers/scheduling_pndm.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_pndm.py",
"repo_id": "diffusers",
"token_count": 9437
} | 139 |
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True, stacklevel=2):
from .. import __version__
deprecated_kwargs = take_from
values = ()
if not isinstance(args... | diffusers/src/diffusers/utils/deprecation_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/deprecation_utils.py",
"repo_id": "diffusers",
"token_count": 793
} | 140 |
import io
import random
import struct
import tempfile
from contextlib import contextmanager
from typing import List, Union
import numpy as np
import PIL.Image
import PIL.ImageOps
from .import_utils import BACKENDS_MAPPING, is_imageio_available, is_opencv_available
from .logging import get_logger
global_rng = random... | diffusers/src/diffusers/utils/export_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/export_utils.py",
"repo_id": "diffusers",
"token_count": 2769
} | 141 |
# 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/lora/test_lora_layers_sdxl.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_sdxl.py",
"repo_id": "diffusers",
"token_count": 11710
} | 142 |
def get_autoencoder_kl_config(block_out_channels=None, norm_num_groups=None):
block_out_channels = block_out_channels or [2, 4]
norm_num_groups = norm_num_groups or 2
init_dict = {
"block_out_channels": block_out_channels,
"in_channels": 3,
"out_channels": 3,
"down_block_type... | diffusers/tests/models/autoencoders/vae.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/vae.py",
"repo_id": "diffusers",
"token_count": 1582
} | 143 |
# 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_flux.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_flux.py",
"repo_id": "diffusers",
"token_count": 2680
} | 144 |
import gc
import unittest
from parameterized import parameterized
from diffusers import FlaxUNet2DConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
@slow
@requi... | diffusers/tests/models/unets/test_models_unet_2d_flax.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_flax.py",
"repo_id": "diffusers",
"token_count": 2141
} | 145 |
# 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/others/test_training.py/0 | {
"file_path": "diffusers/tests/others/test_training.py",
"repo_id": "diffusers",
"token_count": 1481
} | 146 |
# 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_flux/test_controlnet_flux.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet_flux/test_controlnet_flux.py",
"repo_id": "diffusers",
"token_count": 4425
} | 147 |
# 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/ddpm/test_ddpm.py/0 | {
"file_path": "diffusers/tests/pipelines/ddpm/test_ddpm.py",
"repo_id": "diffusers",
"token_count": 1764
} | 148 |
# 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/kandinsky/test_kandinsky_prior.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky/test_kandinsky_prior.py",
"repo_id": "diffusers",
"token_count": 3252
} | 149 |
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