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import type { WebSearchSource } from "$lib/types/WebSearch"; import type { Message } from "$lib/types/Message"; import type { Assistant } from "$lib/types/Assistant"; import { getWebSearchProvider, searchWeb } from "./endpoints"; import { generateQuery } from "./generateQuery"; import { isURLStringLocal } from "$lib/se...
chat-ui/src/lib/server/websearch/search/search.ts/0
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import type { Timestamps } from "./Timestamps"; export interface ConversationStats extends Timestamps { date: { at: Date; span: "day" | "week" | "month"; field: "updatedAt" | "createdAt"; }; type: "conversation" | "message"; /** _id => number of conversations/messages in the month */ distinct: "sessionId" ...
chat-ui/src/lib/types/ConversationStats.ts/0
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import type { Tool } from "$lib/types/Tool"; /** * Checks if a tool's name equals a value. Replaces all hyphens with underscores before comparison * since some models return underscores even when hyphens are used in the request. **/ export function toolHasName(name: string, tool: Pick<Tool, "name">): boolean { ret...
chat-ui/src/lib/utils/tools.ts/0
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import { env } from "$env/dynamic/private"; import { collections } from "$lib/server/database"; import type { Message } from "$lib/types/Message"; import { error } from "@sveltejs/kit"; import { pathToFileURL } from "node:url"; import { unlink } from "node:fs/promises"; import { uploadFile } from "@huggingface/hub"; im...
chat-ui/src/routes/admin/export/+server.ts/0
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import { base } from "$app/paths"; import { env } from "$env/dynamic/private"; import { Database, collections } from "$lib/server/database.js"; import { SortKey, type Assistant } from "$lib/types/Assistant"; import type { User } from "$lib/types/User"; import { generateQueryTokens } from "$lib/utils/searchTokens.js"; i...
chat-ui/src/routes/assistants/+page.server.ts/0
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import { refreshSessionCookie } from "$lib/server/auth"; import { collections } from "$lib/server/database"; import { ObjectId } from "mongodb"; import { DEFAULT_SETTINGS } from "$lib/types/Settings"; import { z } from "zod"; import type { UserinfoResponse } from "openid-client"; import { error, type Cookies } from "@s...
chat-ui/src/routes/login/callback/updateUser.ts/0
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import { base } from "$app/paths"; import { redirect } from "@sveltejs/kit"; export async function load({ parent, params }) { const data = await parent(); const assistant = data.settings.assistants.find((id) => id === params.assistantId); if (!assistant) { redirect(302, `${base}/assistant/${params.assistantId}`...
chat-ui/src/routes/settings/(nav)/assistants/[assistantId]/+page.ts/0
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import { base } from "$app/paths"; import { env } from "$env/dynamic/private"; import { env as envPublic } from "$env/dynamic/public"; import { collections } from "$lib/server/database"; import { sendSlack } from "$lib/server/sendSlack"; import { ReviewStatus } from "$lib/types/Review"; import type { Tool } from "$lib/...
chat-ui/src/routes/tools/[toolId]/+page.server.ts/0
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{ "background_color": "#ffffff", "name": "Chat UI", "short_name": "Chat UI", "display": "standalone", "start_url": "/", "icons": [ { "src": "/chatui/icon-128x128.png", "sizes": "128x128", "type": "image/png" }, { "src": "/chatui/icon-256x256.png", "sizes": "256x256", "type": "image/png" ...
chat-ui/static/chatui/manifest.json/0
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{ "background_color": "#ffffff", "name": "HuggingChat", "short_name": "HuggingChat", "display": "standalone", "start_url": "/chat", "icons": [ { "src": "/chat/huggingchat/icon-36x36.png", "sizes": "36x36", "type": "image/png" }, { "src": "/chat/huggingchat/icon-48x48.png", "sizes": "48x48", ...
chat-ui/static/huggingchat/manifest.json/0
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# Security Policy ## Supported Versions <!-- Use this section to tell people about which versions of your project are currently being supported with security updates. | Version | Supported | | ------- | ------------------ | | 5.1.x | :white_check_mark: | | 5.0.x | :x: | | 4.0.x | :white_...
datasets/SECURITY.md/0
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# This first_section was backported from nginx loading_datasets: loading share_dataset: share quicktour: quickstart dataset_streaming: stream torch_tensorflow: use_dataset splits: loading#slice-splits processing: process faiss_and_ea: faiss_es features: about_dataset_features exploring: access package_reference/logging...
datasets/docs/source/_redirects.yml/0
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# Create a dataset loading script <Tip> The dataset loading script is likely not needed if your dataset is in one of the following formats: CSV, JSON, JSON lines, text, images, audio or Parquet. With those formats, you should be able to load your dataset automatically with [`~datasets.load_dataset`], as long as your...
datasets/docs/source/dataset_script.mdx/0
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# Process text data This guide shows specific methods for processing text datasets. Learn how to: - Tokenize a dataset with [`~Dataset.map`]. - Align dataset labels with label ids for NLI datasets. For a guide on how to process any type of dataset, take a look at the <a class="underline decoration-sky-400 decoration...
datasets/docs/source/nlp_process.mdx/0
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# Share a dataset to the Hub The [Hub](https://huggingface.co/datasets) is home to an extensive collection of community-curated and popular research datasets. We encourage you to share your dataset to the Hub to help grow the ML community and accelerate progress for everyone. All contributions are welcome; adding a da...
datasets/docs/source/upload_dataset.mdx/0
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__all__ = [ "DownloadConfig", "DownloadManager", "DownloadMode", "StreamingDownloadManager", ] from .download_config import DownloadConfig from .download_manager import DownloadManager, DownloadMode from .streaming_download_manager import StreamingDownloadManager
datasets/src/datasets/download/__init__.py/0
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# Copyright 2021 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/jax_formatter.py/0
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from typing import Optional from .. import Features, NamedSplit from ..packaged_modules.text.text import Text from ..utils.typing import NestedDataStructureLike, PathLike from .abc import AbstractDatasetReader class TextDatasetReader(AbstractDatasetReader): def __init__( self, path_or_paths: Nest...
datasets/src/datasets/io/text.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2023 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...
datasets/src/datasets/utils/_filelock.py/0
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import datetime from typing import List, Tuple from unittest import TestCase from unittest.mock import MagicMock, patch import numpy as np import pandas as pd import pyarrow as pa import pytest from datasets import Array2D from datasets.arrow_dataset import Dataset from datasets.features import Audio, ClassLabel, Fea...
datasets/tests/features/test_features.py/0
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import copy import os import tempfile from unittest import TestCase from unittest.mock import patch import numpy as np import pyarrow as pa import pyarrow.parquet as pq import pytest from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence from datasets.features import Array...
datasets/tests/test_arrow_writer.py/0
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import os import pytest import yaml from datasets.features.features import Features, Value from datasets.info import DatasetInfo, DatasetInfosDict from datasets.utils.py_utils import asdict @pytest.mark.parametrize( "files", [ ["full:README.md", "dataset_infos.json"], ["empty:README.md", "da...
datasets/tests/test_info.py/0
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import fnmatch import gc import os import shutil import tempfile import textwrap import time import unittest from io import BytesIO from pathlib import Path from unittest.mock import patch import numpy as np import pytest from huggingface_hub import DatasetCard, HfApi from datasets import ( Audio, ClassLabel,...
datasets/tests/test_upstream_hub.py/0
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import argparse import sys sys.path.append(".") from base_classes import LCMLoRATextToImageBenchmark # noqa: E402 if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument( "--ckpt", type=str, default="stabilityai/stable-diffusion-xl-base-1.0", ) pars...
diffusers/benchmarks/benchmark_t2i_lcm_lora.py/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/TRANSLATING.md/0
{ "file_path": "diffusers/docs/TRANSLATING.md", "repo_id": "diffusers", "token_count": 1100 }
<!--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/unet.md/0
{ "file_path": "diffusers/docs/source/en/api/loaders/unet.md", "repo_id": "diffusers", "token_count": 406 }
<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/models/consisid_transformer3d.md/0
{ "file_path": "diffusers/docs/source/en/api/models/consisid_transformer3d.md", "repo_id": "diffusers", "token_count": 379 }
<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/models/overview.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/pipelines/controlnet.md/0
{ "file_path": "diffusers/docs/source/en/api/pipelines/controlnet.md", "repo_id": "diffusers", "token_count": 1142 }
<!--Copyright 2024 The HuggingFace Team and Tencent Hunyuan Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by...
diffusers/docs/source/en/api/pipelines/hunyuandit.md/0
{ "file_path": "diffusers/docs/source/en/api/pipelines/hunyuandit.md", "repo_id": "diffusers", "token_count": 1471 }
<!--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/text_to_video.md/0
{ "file_path": "diffusers/docs/source/en/api/pipelines/text_to_video.md", "repo_id": "diffusers", "token_count": 2634 }
<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/schedulers/dpm_sde.md/0
{ "file_path": "diffusers/docs/source/en/api/schedulers/dpm_sde.md", "repo_id": "diffusers", "token_count": 286 }
<!--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/xformers.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/kandinsky.md/0
{ "file_path": "diffusers/docs/source/en/training/kandinsky.md", "repo_id": "diffusers", "token_count": 5050 }
<!--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/callback.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/kandinsky.md/0
{ "file_path": "diffusers/docs/source/en/using-diffusers/kandinsky.md", "repo_id": "diffusers", "token_count": 10810 }
<!--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/svd.md/0
{ "file_path": "diffusers/docs/source/en/using-diffusers/svd.md", "repo_id": "diffusers", "token_count": 1832 }
<!--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/conceptual/contribution.md/0
{ "file_path": "diffusers/docs/source/ko/conceptual/contribution.md", "repo_id": "diffusers", "token_count": 35978 }
<!--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/quicktour.md/0
{ "file_path": "diffusers/docs/source/ko/quicktour.md", "repo_id": "diffusers", "token_count": 11452 }
<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/using-diffusers/conditional_image_generation.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/svd.md/0
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# Advanced diffusion training examples ## Train Dreambooth LoRA with Stable Diffusion XL > [!TIP] > 💡 This example follows the techniques and recommended practices covered in the blog post: [LoRA training scripts of the world, unite!](https://huggingface.co/blog/sdxl_lora_advanced_script). Make sure to check it out b...
diffusers/examples/advanced_diffusion_training/README.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 applicabl...
diffusers/examples/community/adaptive_mask_inpainting.py/0
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import re from copy import deepcopy from dataclasses import asdict, dataclass from enum import Enum from typing import List, Optional, Union import numpy as np import torch from numpy import exp, pi, sqrt from torchvision.transforms.functional import resize from tqdm.auto import tqdm from transformers import CLIPImage...
diffusers/examples/community/mixture_canvas.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/examples/community/pipeline_prompt2prompt.py/0
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import argparse import inspect import os import time import warnings from typing import Any, Callable, Dict, List, Optional, Union import numpy as np import PIL.Image import torch from PIL import Image from transformers import CLIPTokenizer from diffusers import OnnxRuntimeModel, StableDiffusionImg2ImgPipeline, UniPC...
diffusers/examples/community/run_onnx_controlnet.py/0
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# # Copyright 2025 The HuggingFace Inc. team. # SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the Licens...
diffusers/examples/community/stable_diffusion_tensorrt_img2img.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/consistency_distillation/train_lcm_distill_lora_sd_wds.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/controlnet/train_controlnet_flax.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py/0
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# AutoencoderKL training example ## Installing the dependencies Before running the scripts, make sure to install the library's training dependencies: **Important** To make sure you can successfully run the latest versions of the example scripts, we highly recommend **installing from source** and keeping the install...
diffusers/examples/research_projects/autoencoderkl/README.md/0
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<jupyter_start><jupyter_code>%load_ext autoreload %autoreload 2 import torch from diffusers import StableDiffusionGLIGENTextImagePipeline, StableDiffusionGLIGENPipeline import os import diffusers from diffusers import ( AutoencoderKL, DDPMScheduler, UNet2DConditionModel, UniPCMultistepScheduler, Eu...
diffusers/examples/research_projects/gligen/demo.ipynb/0
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# IP Adapter Training Example [IP Adapter](https://arxiv.org/abs/2308.06721) is a novel approach designed to enhance text-to-image models such as Stable Diffusion by enabling them to generate images based on image prompts rather than text prompts alone. Unlike traditional methods that rely solely on complex text prom...
diffusers/examples/research_projects/ip_adapter/README.md/0
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""" The main idea for this code is to provide a way for users to not need to bother with the hassle of multiple tokens for a concept by typing a photo of <concept>_0 <concept>_1 ... and so on and instead just do a photo of <concept> which gets translated to the above. This needs to work for both inference and training....
diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py/0
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from typing import Any, Dict, Optional import torch from torch import nn from diffusers.configuration_utils import ConfigMixin, register_to_config from diffusers.models import PixArtTransformer2DModel from diffusers.models.attention import BasicTransformerBlock from diffusers.models.modeling_outputs import Transforme...
diffusers/examples/research_projects/pixart/controlnet_pixart_alpha.py/0
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import inspect from typing import Callable, List, Optional, Union import torch from PIL import Image from retriever import Retriever, normalize_images, preprocess_images from transformers import CLIPImageProcessor, CLIPModel, CLIPTokenizer from diffusers import ( AutoencoderKL, DDIMScheduler, DiffusionPip...
diffusers/examples/research_projects/rdm/pipeline_rdm.py/0
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<jupyter_start><jupyter_text>Running Stable Diffusion 3 (SD3) DreamBooth LoRA training under 16GB GPU VRAM Install Dependencies<jupyter_code>!pip install -q -U git+https://github.com/huggingface/diffusers !pip install -q -U \ transformers \ accelerate \ wandb \ bitsandbytes \ peft<jupyter_output><e...
diffusers/examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb/0
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import asyncio import logging import os import random import tempfile import traceback import uuid import aiohttp import torch from fastapi import FastAPI, HTTPException from fastapi.middleware.cors import CORSMiddleware from fastapi.staticfiles import StaticFiles from pydantic import BaseModel from diffusers.pipelin...
diffusers/examples/server/server.py/0
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## Training an VQGAN VAE VQVAEs were first introduced in [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) and was combined with a GAN in the paper [Taming Transformers for High-Resolution Image Synthesis](https://arxiv.org/abs/2012.09841). The basic idea of a VQVAE is it's a type of a variati...
diffusers/examples/vqgan/README.md/0
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import argparse from typing import Any, Dict import torch from transformers import T5EncoderModel, T5Tokenizer from diffusers import ( AutoencoderKLCogVideoX, CogVideoXDDIMScheduler, CogVideoXImageToVideoPipeline, CogVideoXPipeline, CogVideoXTransformer3DModel, ) def reassign_query_key_value_inp...
diffusers/scripts/convert_cogvideox_to_diffusers.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/scripts/convert_original_audioldm2_to_diffusers.py/0
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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
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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
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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/image_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/autoencoders/autoencoder_kl_temporal_decoder.py/0
{ "file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_temporal_decoder.py", "repo_id": "diffusers", "token_count": 6362 }
# Copyright 2024 Stability AI, The HuggingFace Team and The InstantX 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/models/controlnets/controlnet_sd3.py/0
{ "file_path": "diffusers/src/diffusers/models/controlnets/controlnet_sd3.py", "repo_id": "diffusers", "token_count": 9056 }
# Copyright 2024 The HuggingFace Team. All rights reserved. # `TemporalConvLayer` Copyright 2024 Alibaba DAMO-VILAB, The ModelScope 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. #...
diffusers/src/diffusers/models/resnet.py/0
{ "file_path": "diffusers/src/diffusers/models/resnet.py", "repo_id": "diffusers", "token_count": 14442 }
# 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/transformers/transformer_2d.py/0
{ "file_path": "diffusers/src/diffusers/models/transformers/transformer_2d.py", "repo_id": "diffusers", "token_count": 12696 }
# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
diffusers/src/diffusers/models/unets/unet_2d_condition_flax.py/0
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# Copyright 2024 The RhymesAI and The HuggingFace Team. # All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless re...
diffusers/src/diffusers/pipelines/allegro/pipeline_allegro.py/0
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from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_torch_available, is_transformers_available, is_transformers_version, ) _dummy_objects = {} _import_structure = {} try: if not (is_tr...
diffusers/src/diffusers/pipelines/audioldm2/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/audioldm2/__init__.py", "repo_id": "diffusers", "token_count": 637 }
# 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/dance_diffusion/pipeline_dance_diffusion.py/0
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from typing import TYPE_CHECKING from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule _import_structure = {"pipeline_score_sde_ve": ["ScoreSdeVePipeline"]} if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: from .pipeline_score_sde_ve import ScoreSdeVePipeline else: import sys sys.modules[__name__] = _Laz...
diffusers/src/diffusers/pipelines/deprecated/score_sde_ve/__init__.py/0
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from typing import TYPE_CHECKING from ....utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_transformers_available, is_transformers_version, ) _dummy_objects = {} _import_structure = {} try: if not (is_transformers_available() and i...
diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/__init__.py/0
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# Copyright 2024 Alibaba DAMO-VILAB 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/i2vgen_xl/pipeline_i2vgen_xl.py/0
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from typing import List, Optional, Union import PIL.Image import torch from transformers import CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionModelWithProjection from ...models import PriorTransformer from ...schedulers import UnCLIPScheduler from ...utils import ( is_torch_xla_availab...
diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py/0
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import inspect from typing import List, Optional, Tuple, Union import numpy as np import PIL.Image import torch import torch.utils.checkpoint from ...models import UNet2DModel, VQModel from ...schedulers import ( DDIMScheduler, DPMSolverMultistepScheduler, EulerAncestralDiscreteScheduler, EulerDiscret...
diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.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/pipelines/pipeline_loading_utils.py/0
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from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_torch_available, is_transformers_available, is_transformers_version, ) _dummy_objects = {} _import_structure = {} try: if not (is_tr...
diffusers/src/diffusers/pipelines/stable_audio/__init__.py/0
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import numpy as np import torch from ...utils import is_invisible_watermark_available if is_invisible_watermark_available(): from imwatermark import WatermarkEncoder # Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L...
diffusers/src/diffusers/pipelines/stable_diffusion_xl/watermark.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/watermark.py", "repo_id": "diffusers", "token_count": 596 }
# 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/pipelines/unclip/text_proj.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/unclip/text_proj.py", "repo_id": "diffusers", "token_count": 1637 }
# Copyright 2025 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...
diffusers/src/diffusers/quantizers/base.py/0
{ "file_path": "diffusers/src/diffusers/quantizers/base.py", "repo_id": "diffusers", "token_count": 3612 }
import math from dataclasses import dataclass from typing import Optional, Tuple, Union import torch from ..configuration_utils import ConfigMixin, register_to_config from ..utils import BaseOutput from ..utils.torch_utils import randn_tensor from .scheduling_utils import SchedulerMixin # Copied from diffusers.sche...
diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py/0
{ "file_path": "diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py", "repo_id": "diffusers", "token_count": 3023 }
# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import DummyObject, requires_backends class SpectrogramDiffusionPipeline(metaclass=DummyObject): _backends = ["transformers", "torch", "note_seq"] def __init__(self, *args, **kwargs): requires_backends(self, ["tr...
diffusers/src/diffusers/utils/dummy_transformers_and_torch_and_note_seq_objects.py/0
{ "file_path": "diffusers/src/diffusers/utils/dummy_transformers_and_torch_and_note_seq_objects.py", "repo_id": "diffusers", "token_count": 236 }
# 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/utils.py/0
{ "file_path": "diffusers/tests/lora/utils.py", "repo_id": "diffusers", "token_count": 52110 }
import unittest import torch from torch import nn from diffusers.models.activations import get_activation class ActivationsTests(unittest.TestCase): def test_swish(self): act = get_activation("swish") self.assertIsInstance(act, nn.SiLU) self.assertEqual(act(torch.tensor(-100, dtype=tor...
diffusers/tests/models/test_activations.py/0
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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/models/transformers/test_models_transformer_hunyuan_video.py/0
{ "file_path": "diffusers/tests/models/transformers/test_models_transformer_hunyuan_video.py", "repo_id": "diffusers", "token_count": 1322 }
# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/models/unets/test_models_unet_spatiotemporal.py/0
{ "file_path": "diffusers/tests/models/unets/test_models_unet_spatiotemporal.py", "repo_id": "diffusers", "token_count": 3217 }
# Copyright 2024 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
diffusers/tests/pipelines/allegro/test_allegro.py/0
{ "file_path": "diffusers/tests/pipelines/allegro/test_allegro.py", "repo_id": "diffusers", "token_count": 6145 }
# 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
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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": 6303 }
import inspect import unittest import numpy as np import torch from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer from diffusers import ( AnimateDiffPAGPipeline, AnimateDiffPipeline, AutoencoderKL, DDIMScheduler, DPMSolverMultistepScheduler, LCMScheduler, MotionAdapter, ...
diffusers/tests/pipelines/pag/test_pag_animatediff.py/0
{ "file_path": "diffusers/tests/pipelines/pag/test_pag_animatediff.py", "repo_id": "diffusers", "token_count": 10866 }
# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/pag/test_pag_sdxl_inpaint.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py/0
{ "file_path": "diffusers/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py", "repo_id": "diffusers", "token_count": 21128 }
import random import unittest import numpy as np import torch from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, FlowMatchEulerDiscreteScheduler, SD3Transformer2DModel, StableDiffusion3InpaintPipelin...
diffusers/tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3_inpaint.py/0
{ "file_path": "diffusers/tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3_inpaint.py", "repo_id": "diffusers", "token_count": 3376 }
# 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_safe/test_safe_diffusion.py/0
{ "file_path": "diffusers/tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py", "repo_id": "diffusers", "token_count": 7630 }
# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/pipelines/test_pipelines.py/0
{ "file_path": "diffusers/tests/pipelines/test_pipelines.py", "repo_id": "diffusers", "token_count": 44339 }
import torch from diffusers import DDPMScheduler from .test_schedulers import SchedulerCommonTest class DDPMSchedulerTest(SchedulerCommonTest): scheduler_classes = (DDPMScheduler,) def get_scheduler_config(self, **kwargs): config = { "num_train_timesteps": 1000, "beta_start"...
diffusers/tests/schedulers/test_scheduler_ddpm.py/0
{ "file_path": "diffusers/tests/schedulers/test_scheduler_ddpm.py", "repo_id": "diffusers", "token_count": 3860 }
import tempfile from typing import Dict, List, Tuple import torch from diffusers import LCMScheduler from diffusers.utils.testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class LCMSchedulerTest(SchedulerCommonTest): scheduler_classes = (LCMScheduler,) forward_default_kwarg...
diffusers/tests/schedulers/test_scheduler_lcm.py/0
{ "file_path": "diffusers/tests/schedulers/test_scheduler_lcm.py", "repo_id": "diffusers", "token_count": 5668 }
# 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/single_file/test_model_sd_cascade_unet_single_file.py/0
{ "file_path": "diffusers/tests/single_file/test_model_sd_cascade_unet_single_file.py", "repo_id": "diffusers", "token_count": 1955 }