text stringlengths 5 631k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 647 |
|---|---|---|---|
[package]
name = "candle-wasm-example-bert"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-tran... | candle/candle-wasm-examples/bert/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/bert/Cargo.toml",
"repo_id": "candle",
"token_count": 304
} | 65 |
[package]
name = "candle-wasm-example-llama2"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-tr... | candle/candle-wasm-examples/llama2-c/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/Cargo.toml",
"repo_id": "candle",
"token_count": 434
} | 66 |
import snarkdown from "https://cdn.skypack.dev/snarkdown";
import hljs from "https://cdn.skypack.dev/highlight.js";
// models base url
const MODELS = {
moondream2_q4k: {
base_url:
"https://huggingface.co/santiagomed/candle-moondream/resolve/main/",
model: "model-q4_0.gguf",
tokenizer: "tokenizer.jso... | candle/candle-wasm-examples/moondream/code.js/0 | {
"file_path": "candle/candle-wasm-examples/moondream/code.js",
"repo_id": "candle",
"token_count": 2873
} | 67 |
//load the candle SAM Model wasm module
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url, cacheModel = true) {
if (!cacheModel)
return new Uint8Array(await (await fetch(url)).arrayBuffer());
const cacheName = "sam-candle-cache";
const cache = await caches.open(cacheName);
con... | candle/candle-wasm-examples/segment-anything/samWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/samWorker.js",
"repo_id": "candle",
"token_count": 1747
} | 68 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle YOLOv8 Rust/WASM</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
... | candle/candle-wasm-examples/yolo/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/yolo/lib-example.html",
"repo_id": "candle",
"token_count": 9649
} | 69 |
use candle::quantized::{gguf_file, GgmlDType, QTensor};
use candle::{Device, Result};
use clap::{Parser, Subcommand, ValueEnum};
use rayon::prelude::*;
#[derive(ValueEnum, Debug, Clone)]
enum QuantizationMode {
/// The default quantization includes all 2d tensors, except the output tensor which always
/// uses... | candle/tensor-tools/src/main.rs/0 | {
"file_path": "candle/tensor-tools/src/main.rs",
"repo_id": "candle",
"token_count": 9444
} | 70 |
export default {
"*.{js,jsx,ts,tsx}": ["prettier --write", "eslint --fix", "eslint"],
"*.json": ["prettier --write"],
};
| chat-ui/.husky/lint-stage-config.js/0 | {
"file_path": "chat-ui/.husky/lint-stage-config.js",
"repo_id": "chat-ui",
"token_count": 54
} | 71 |
apiVersion: apps/v1
kind: Deployment
metadata:
labels: {{ include "labels.standard" . | nindent 4 }}
name: {{ include "name" . }}
namespace: {{ .Release.Namespace }}
{{- if .Values.infisical.enabled }}
annotations:
secrets.infisical.com/auto-reload: "true"
{{- end }}
spec:
progressDeadlineSeconds: 600... | chat-ui/chart/templates/deployment.yaml/0 | {
"file_path": "chat-ui/chart/templates/deployment.yaml",
"repo_id": "chat-ui",
"token_count": 1374
} | 72 |
# Anthropic
| Feature | Available |
| --------------------------- | --------- |
| [Tools](../tools) | No |
| [Multimodal](../multimodal) | Yes |
We also support Anthropic models (including multimodal ones via `multmodal: true`) through the official SDK. You may provide your ... | chat-ui/docs/source/configuration/models/providers/anthropic.md/0 | {
"file_path": "chat-ui/docs/source/configuration/models/providers/anthropic.md",
"repo_id": "chat-ui",
"token_count": 1541
} | 73 |
# Copy HuggingChat
The config file for HuggingChat is stored in the `chart/env/prod.yaml` file. It is the source of truth for the environment variables used for our CI/CD pipeline. For HuggingChat, as we need to customize the app color, as well as the base path, we build a custom docker image. You can find the workflo... | chat-ui/docs/source/developing/copy-huggingchat.md/0 | {
"file_path": "chat-ui/docs/source/developing/copy-huggingchat.md",
"repo_id": "chat-ui",
"token_count": 870
} | 74 |
import fs from "fs";
import yaml from "js-yaml";
const file = fs.readFileSync("chart/env/prod.yaml", "utf8");
// have to do a weird stringify/parse because of some node error
const prod = JSON.parse(JSON.stringify(yaml.load(file)));
const vars = prod.envVars as Record<string, string>;
let PUBLIC_CONFIG = "";
Object... | chat-ui/scripts/updateLocalEnv.ts/0 | {
"file_path": "chat-ui/scripts/updateLocalEnv.ts",
"repo_id": "chat-ui",
"token_count": 581
} | 75 |
<script lang="ts">
import { base } from "$app/paths";
import { page } from "$app/state";
import LogoHuggingFaceBorderless from "$lib/components/icons/LogoHuggingFaceBorderless.svelte";
import Modal from "$lib/components/Modal.svelte";
import { useSettingsStore } from "$lib/stores/settings";
import { cookiesAreEn... | chat-ui/src/lib/components/DisclaimerModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/DisclaimerModal.svelte",
"repo_id": "chat-ui",
"token_count": 1060
} | 76 |
<script lang="ts">
import { fade } from "svelte/transition";
import IconChevron from "./icons/IconChevron.svelte";
interface Props {
scrollNode: HTMLElement;
class?: string;
}
let { scrollNode, class: className = "" }: Props = $props();
let visible = $state(false);
let observer: ResizeObserver | null = $s... | chat-ui/src/lib/components/ScrollToBottomBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/ScrollToBottomBtn.svelte",
"repo_id": "chat-ui",
"token_count": 508
} | 77 |
<script lang="ts">
import Logo from "$lib/components/icons/Logo.svelte";
import { createEventDispatcher } from "svelte";
import IconGear from "~icons/bi/gear-fill";
import AnnouncementBanner from "../AnnouncementBanner.svelte";
import type { Model } from "$lib/types/Model";
import ModelCardMetadata from "../Model... | chat-ui/src/lib/components/chat/ChatIntroduction.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/ChatIntroduction.svelte",
"repo_id": "chat-ui",
"token_count": 1561
} | 78 |
import type { Migration } from ".";
import { collections } from "$lib/server/database";
import { ObjectId, type AnyBulkWriteOperation } from "mongodb";
import type { Assistant } from "$lib/types/Assistant";
import { generateSearchTokens } from "$lib/utils/searchTokens";
const migration: Migration = {
_id: new ObjectI... | chat-ui/src/lib/migrations/routines/01-update-search-assistants.ts/0 | {
"file_path": "chat-ui/src/lib/migrations/routines/01-update-search-assistants.ts",
"repo_id": "chat-ui",
"token_count": 483
} | 79 |
import { Elysia, t } from "elysia";
import { authPlugin } from "$api/authPlugin";
import { collections } from "$lib/server/database";
import { ObjectId, type Filter } from "mongodb";
import { authCondition } from "$lib/server/auth";
import { SortKey, type Assistant } from "$lib/types/Assistant";
import type { User } fr... | chat-ui/src/lib/server/api/routes/groups/assistants.ts/0 | {
"file_path": "chat-ui/src/lib/server/api/routes/groups/assistants.ts",
"repo_id": "chat-ui",
"token_count": 2132
} | 80 |
import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { createImageProcessorOptionsValidator } from "../images";
import { endpointMessagesToAnthropicMessages } from "./utils";
import type { MessageParam } from "@anthropic-... | chat-ui/src/lib/server/endpoints/anthropic/endpointAnthropicVertex.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/anthropic/endpointAnthropicVertex.ts",
"repo_id": "chat-ui",
"token_count": 1193
} | 81 |
import { z } from "zod";
import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream";
import {
openAIChatToTextGenerationSingle,
openAIChatToTextGenerationStream,
} from "./openAIChatToTextGenerationStream";
import type { CompletionCreateParamsStreaming } from "openai/resources/c... | chat-ui/src/lib/server/endpoints/openai/endpointOai.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/openai/endpointOai.ts",
"repo_id": "chat-ui",
"token_count": 4166
} | 82 |
import type { ProcessedModel } from "../models";
import type { Endpoint } from "../endpoints/endpoints";
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import type { Assistant } from "$lib/types/Assistant";
export interface TextGenerationContext {
model... | chat-ui/src/lib/server/textGeneration/types.ts/0 | {
"file_path": "chat-ui/src/lib/server/textGeneration/types.ts",
"repo_id": "chat-ui",
"token_count": 190
} | 83 |
import { sentences as splitBySentences } from "sbd";
import { MarkdownElementType, type MarkdownElement } from "../types";
export function chunkElements(elements: MarkdownElement[], maxLength: number): MarkdownElement[] {
return elements.flatMap((elem) => {
// Can't split headers because it would break the tree, an... | chat-ui/src/lib/server/websearch/markdown/utils/chunk.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/markdown/utils/chunk.ts",
"repo_id": "chat-ui",
"token_count": 801
} | 84 |
import { config } from "$lib/server/config";
import { isURL } from "$lib/utils/isUrl";
import type { WebSearchSource } from "$lib/types/WebSearch";
interface YouWebSearch {
hits: YouSearchHit[];
latency: number;
}
interface YouSearchHit {
url: string;
title: string;
description: string;
snippets: string[];
}
e... | chat-ui/src/lib/server/websearch/search/endpoints/youApi.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/search/endpoints/youApi.ts",
"repo_id": "chat-ui",
"token_count": 401
} | 85 |
export interface ConfigKey {
key: string; // unique
value: string;
}
| chat-ui/src/lib/types/ConfigKey.ts/0 | {
"file_path": "chat-ui/src/lib/types/ConfigKey.ts",
"repo_id": "chat-ui",
"token_count": 22
} | 86 |
export interface Timestamps {
createdAt: Date;
updatedAt: Date;
}
| chat-ui/src/lib/types/Timestamps.ts/0 | {
"file_path": "chat-ui/src/lib/types/Timestamps.ts",
"repo_id": "chat-ui",
"token_count": 23
} | 87 |
import type { Model } from "$lib/types/Model";
import { AutoTokenizer, PreTrainedTokenizer } from "@huggingface/transformers";
export async function getTokenizer(_modelTokenizer: Exclude<Model["tokenizer"], undefined>) {
if (typeof _modelTokenizer === "string") {
// return auto tokenizer
return await AutoTokenize... | chat-ui/src/lib/utils/getTokenizer.ts/0 | {
"file_path": "chat-ui/src/lib/utils/getTokenizer.ts",
"repo_id": "chat-ui",
"token_count": 229
} | 88 |
export function sum(nums: number[]): number {
return nums.reduce((a, b) => a + b, 0);
}
| chat-ui/src/lib/utils/sum.ts/0 | {
"file_path": "chat-ui/src/lib/utils/sum.ts",
"repo_id": "chat-ui",
"token_count": 35
} | 89 |
export type TreeId = string;
export type Tree<T> = {
rootMessageId?: TreeId;
messages: TreeNode<T>[];
};
export type TreeNode<T> = T & {
id: TreeId;
ancestors?: TreeId[];
children?: TreeId[];
};
export type NewNode<T> = Omit<TreeNode<T>, "id">;
| chat-ui/src/lib/utils/tree/tree.d.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/tree.d.ts",
"repo_id": "chat-ui",
"token_count": 102
} | 90 |
import { collections } from "$lib/server/database";
import type { Assistant } from "$lib/types/Assistant";
import type { User } from "$lib/types/User";
import { generateQueryTokens } from "$lib/utils/searchTokens.js";
import type { Filter } from "mongodb";
import { config } from "$lib/server/config";
import { ReviewSta... | chat-ui/src/routes/api/assistants/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/assistants/+server.ts",
"repo_id": "chat-ui",
"token_count": 803
} | 91 |
import ChatThumbnail from "./ChatThumbnail.svelte";
import { collections } from "$lib/server/database";
import { error, type RequestHandler } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { render } from "svelte/server";
import { Resvg } from "@resvg/resvg-js";
import satori from "satori";
import { ... | chat-ui/src/routes/assistant/[assistantId]/thumbnail.png/+server.ts/0 | {
"file_path": "chat-ui/src/routes/assistant/[assistantId]/thumbnail.png/+server.ts",
"repo_id": "chat-ui",
"token_count": 824
} | 92 |
import { assert, it, describe, afterEach, vi, expect } from "vitest";
import type { Cookies } from "@sveltejs/kit";
import { collections } from "$lib/server/database";
import { updateUser } from "./updateUser";
import { ObjectId } from "mongodb";
import { DEFAULT_SETTINGS } from "$lib/types/Settings";
import { defaultM... | chat-ui/src/routes/login/callback/updateUser.spec.ts/0 | {
"file_path": "chat-ui/src/routes/login/callback/updateUser.spec.ts",
"repo_id": "chat-ui",
"token_count": 1415
} | 93 |
<script lang="ts">
import CarbonTrashCan from "~icons/carbon/trash-can";
import CarbonArrowUpRight from "~icons/carbon/arrow-up-right";
import { useSettingsStore } from "$lib/stores/settings";
import Switch from "$lib/components/Switch.svelte";
import { goto } from "$app/navigation";
import { error } from "$lib... | chat-ui/src/routes/settings/(nav)/application/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/application/+page.svelte",
"repo_id": "chat-ui",
"token_count": 1691
} | 94 |
<script lang="ts">
import Modal from "$lib/components/Modal.svelte";
import ToolEdit from "../../ToolEdit.svelte";
let { data } = $props();
</script>
<Modal
on:close={() => window.history.back()}
width="h-[95dvh] w-[90dvw] overflow-hidden rounded-2xl bg-white shadow-2xl outline-none sm:h-[85dvh] xl:w-[1200px] 2x... | chat-ui/src/routes/tools/[toolId]/edit/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/tools/[toolId]/edit/+page.svelte",
"repo_id": "chat-ui",
"token_count": 210
} | 95 |
{
"name": "@reflink/reflink",
"version": "0.0.0",
"main": "index.js"
}
| chat-ui/stub/@reflink/reflink/package.json/0 | {
"file_path": "chat-ui/stub/@reflink/reflink/package.json",
"repo_id": "chat-ui",
"token_count": 40
} | 96 |
import json
import os
import tempfile
import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import Array2D
from utils import generate_examples, get_duration
SHAPE_TEST_1 = (30, 487)
SHAPE_TEST_2 = (36, 1024)
SPEED_TEST_SHAPE = (100, 100)
SPEED_TEST_N_EXAMPLES = 100
DEFAULT_FEATURES = ... | datasets/benchmarks/benchmark_array_xd.py/0 | {
"file_path": "datasets/benchmarks/benchmark_array_xd.py",
"repo_id": "datasets",
"token_count": 2176
} | 97 |
- sections:
- local: index
title: 🤗 Datasets
- local: quickstart
title: Quickstart
- local: installation
title: Installation
title: Get started
- sections:
- local: tutorial
title: Overview
- local: load_hub
title: Load a dataset from the Hub
- local: access
title: Know your data... | datasets/docs/source/_toctree.yml/0 | {
"file_path": "datasets/docs/source/_toctree.yml",
"repo_id": "datasets",
"token_count": 1337
} | 98 |
# Create a document dataset
This guide will show you how to create a document dataset with `PdfFolder` and some metadata. This is a no-code solution for quickly creating a document dataset with several thousand pdfs.
<Tip>
You can control access to your dataset by requiring users to share their contact information f... | datasets/docs/source/document_dataset.mdx/0 | {
"file_path": "datasets/docs/source/document_dataset.mdx",
"repo_id": "datasets",
"token_count": 1662
} | 99 |
# 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 | {
"file_path": "datasets/docs/source/nlp_process.mdx",
"repo_id": "datasets",
"token_count": 1115
} | 100 |
# 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 | {
"file_path": "datasets/docs/source/upload_dataset.mdx",
"repo_id": "datasets",
"token_count": 1999
} | 101 |
# Copyright 2020 The TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | datasets/src/datasets/download/download_manager.py/0 | {
"file_path": "datasets/src/datasets/download/download_manager.py",
"repo_id": "datasets",
"token_count": 5650
} | 102 |
# 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 | {
"file_path": "datasets/src/datasets/formatting/jax_formatter.py",
"repo_id": "datasets",
"token_count": 3107
} | 103 |
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 | {
"file_path": "datasets/src/datasets/io/text.py",
"repo_id": "datasets",
"token_count": 961
} | 104 |
import copy
import os
from collections.abc import Iterator
from functools import partial
from itertools import groupby
from typing import TYPE_CHECKING, Any, Callable, Optional, TypeVar, Union
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
from .utils.logging import get_logger
if TYPE_CHECKING... | datasets/src/datasets/table.py/0 | {
"file_path": "datasets/src/datasets/table.py",
"repo_id": "datasets",
"token_count": 41094
} | 105 |
# 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/utils/py_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/py_utils.py",
"repo_id": "datasets",
"token_count": 9896
} | 106 |
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def _check_json_dataset(dataset, expected... | datasets/tests/io/test_json.py/0 | {
"file_path": "datasets/tests/io/test_json.py",
"repo_id": "datasets",
"token_count": 5153
} | 107 |
import pytest
from datasets.builder import InvalidConfigName
from datasets.data_files import DataFilesList
from datasets.packaged_modules.sql.sql import SqlConfig
def test_config_raises_when_invalid_name() -> None:
with pytest.raises(InvalidConfigName, match="Bad characters"):
_ = SqlConfig(name="name-wi... | datasets/tests/packaged_modules/test_sql.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_sql.py",
"repo_id": "datasets",
"token_count": 225
} | 108 |
import os
from datasets.utils._filelock import FileLock
def test_long_path(tmpdir):
filename = "a" * 1000 + ".lock"
lock1 = FileLock(str(tmpdir / filename))
assert lock1.lock_file.endswith(".lock")
assert not lock1.lock_file.endswith(filename)
assert len(os.path.basename(lock1.lock_file)) <= 255
| datasets/tests/test_filelock.py/0 | {
"file_path": "datasets/tests/test_filelock.py",
"repo_id": "datasets",
"token_count": 120
} | 109 |
import pytest
from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
"kwargs, expected",
[
({"num_shards": 0, "max_num_jobs": 1}, []),
({"num_shards": 10, "max_num_jobs": 1}, [range(10)]),
({"num_shards": 10... | datasets/tests/test_sharding_utils.py/0 | {
"file_path": "datasets/tests/test_sharding_utils.py",
"repo_id": "datasets",
"token_count": 977
} | 110 |
.PHONY: deps_table_update modified_only_fixup extra_style_checks quality style fixup fix-copies test test-examples
# make sure to test the local checkout in scripts and not the pre-installed one (don't use quotes!)
export PYTHONPATH = src
check_dirs := examples scripts src tests utils benchmarks
modified_only_fixup:... | diffusers/Makefile/0 | {
"file_path": "diffusers/Makefile",
"repo_id": "diffusers",
"token_count": 929
} | 111 |
FROM ubuntu:20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update \
&& apt-get install -y software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa
RUN apt install -y bash \
build-essential \
git \
git-l... | diffusers/docker/diffusers-flax-cpu/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-flax-cpu/Dockerfile",
"repo_id": "diffusers",
"token_count": 652
} | 112 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/configuration.md/0 | {
"file_path": "diffusers/docs/source/en/api/configuration.md",
"repo_id": "diffusers",
"token_count": 322
} | 113 |
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agree... | diffusers/docs/source/en/api/models/autoencoder_kl_hunyuan_video.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/autoencoder_kl_hunyuan_video.md",
"repo_id": "diffusers",
"token_count": 383
} | 114 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/models/transformer2d.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/transformer2d.md",
"repo_id": "diffusers",
"token_count": 465
} | 115 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/outputs.md/0 | {
"file_path": "diffusers/docs/source/en/api/outputs.md",
"repo_id": "diffusers",
"token_count": 554
} | 116 |
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | diffusers/docs/source/en/api/pipelines/qwenimage.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/qwenimage.md",
"repo_id": "diffusers",
"token_count": 1428
} | 117 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_diffusion/latent_upscale.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/latent_upscale.md",
"repo_id": "diffusers",
"token_count": 543
} | 118 |
# Getting Started: VAE Decode with Hybrid Inference
VAE decode is an essential component of diffusion models - turning latent representations into images or videos.
## Memory
These tables demonstrate the VRAM requirements for VAE decode with SD v1 and SD XL on different GPUs.
For the majority of these GPUs the memo... | diffusers/docs/source/en/hybrid_inference/vae_decode.md/0 | {
"file_path": "diffusers/docs/source/en/hybrid_inference/vae_decode.md",
"repo_id": "diffusers",
"token_count": 4810
} | 119 |
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agree... | diffusers/docs/source/en/optimization/cache.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/cache.md",
"repo_id": "diffusers",
"token_count": 1014
} | 120 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/optimization/xformers.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/xformers.md",
"repo_id": "diffusers",
"token_count": 447
} | 121 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/training/instructpix2pix.md/0 | {
"file_path": "diffusers/docs/source/en/training/instructpix2pix.md",
"repo_id": "diffusers",
"token_count": 4157
} | 122 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/conditional_image_generation.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/conditional_image_generation.md",
"repo_id": "diffusers",
"token_count": 5201
} | 123 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/loading.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/loading.md",
"repo_id": "diffusers",
"token_count": 9164
} | 124 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/textual_inversion_inference.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/textual_inversion_inference.md",
"repo_id": "diffusers",
"token_count": 945
} | 125 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/conceptual/philosophy.md/0 | {
"file_path": "diffusers/docs/source/ko/conceptual/philosophy.md",
"repo_id": "diffusers",
"token_count": 12970
} | 126 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/controlnet.md/0 | {
"file_path": "diffusers/docs/source/ko/training/controlnet.md",
"repo_id": "diffusers",
"token_count": 7261
} | 127 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/depth2img.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/depth2img.md",
"repo_id": "diffusers",
"token_count": 1376
} | 128 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/weighted_prompts.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/weighted_prompts.md",
"repo_id": "diffusers",
"token_count": 3376
} | 129 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/zh/installation.md/0 | {
"file_path": "diffusers/docs/source/zh/installation.md",
"repo_id": "diffusers",
"token_count": 2457
} | 130 |
<!--版权所有 2025 The HuggingFace Team。保留所有权利。
根据 Apache 许可证 2.0 版本（“许可证”）授权；除非遵守许可证，否则不得使用此文件。您可以在以下网址获取许可证副本：
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除非适用法律要求或书面同意，根据许可证分发的软件按“原样”分发，不附带任何明示或暗示的担保或条件。请参阅许可证了解具体的语言管理权限和限制。
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# 分布式推理
在分布式设置中，您可以使用 🤗 [Accelerate](https://huggingface.co/docs/accelerate/index) 或 [Py... | diffusers/docs/source/zh/training/distributed_inference.md/0 | {
"file_path": "diffusers/docs/source/zh/training/distributed_inference.md",
"repo_id": "diffusers",
"token_count": 5237
} | 131 |
# coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/advanced_diffusion_training/test_dreambooth_lora_flux_advanced.py/0 | {
"file_path": "diffusers/examples/advanced_diffusion_training/test_dreambooth_lora_flux_advanced.py",
"repo_id": "diffusers",
"token_count": 7022
} | 132 |
from typing import Optional, Tuple, Union
import torch
from einops import rearrange, reduce
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, ImagePipelineOutput, UNet2DConditionModel
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.schedulers.scheduling_ddpm im... | diffusers/examples/community/bit_diffusion.py/0 | {
"file_path": "diffusers/examples/community/bit_diffusion.py",
"repo_id": "diffusers",
"token_count": 4347
} | 133 |
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 | {
"file_path": "diffusers/examples/community/mixture_canvas.py",
"repo_id": "diffusers",
"token_count": 9675
} | 134 |
# Copyright 2025 TencentARC 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/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py",
"repo_id": "diffusers",
"token_count": 33021
} | 135 |
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 | {
"file_path": "diffusers/examples/community/run_onnx_controlnet.py",
"repo_id": "diffusers",
"token_count": 19727
} | 136 |
#
# 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 | {
"file_path": "diffusers/examples/community/stable_diffusion_tensorrt_img2img.py",
"repo_id": "diffusers",
"token_count": 21855
} | 137 |
#!/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 | {
"file_path": "diffusers/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py",
"repo_id": "diffusers",
"token_count": 27024
} | 138 |
#!/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 | {
"file_path": "diffusers/examples/controlnet/train_controlnet_flax.py",
"repo_id": "diffusers",
"token_count": 20119
} | 139 |
# DreamBooth training example for Stable Diffusion XL (SDXL)
[DreamBooth](https://huggingface.co/papers/2208.12242) is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject.
The `train_dreambooth_lora_sdxl.py` script shows how to implement the training procedure an... | diffusers/examples/dreambooth/README_sdxl.md/0 | {
"file_path": "diffusers/examples/dreambooth/README_sdxl.md",
"repo_id": "diffusers",
"token_count": 3776
} | 140 |
#!/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/dreambooth/train_dreambooth_lora_sdxl.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_lora_sdxl.py",
"repo_id": "diffusers",
"token_count": 39424
} | 141 |
from torch import nn
class CTCHead(nn.Module):
def __init__(
self, in_channels, out_channels=6625, fc_decay=0.0004, mid_channels=None, return_feats=False, **kwargs
):
super(CTCHead, self).__init__()
if mid_channels is None:
self.fc = nn.Linear(
in_channels,
... | diffusers/examples/research_projects/anytext/ocr_recog/RecCTCHead.py/0 | {
"file_path": "diffusers/examples/research_projects/anytext/ocr_recog/RecCTCHead.py",
"repo_id": "diffusers",
"token_count": 689
} | 142 |
compute_environment: LOCAL_MACHINE
debug: false
deepspeed_config:
gradient_accumulation_steps: 1
gradient_clipping: 1.0
offload_optimizer_device: cpu
offload_param_device: cpu
zero3_init_flag: false
zero_stage: 2
distributed_type: DEEPSPEED
downcast_bf16: 'no'
enable_cpu_affinity: false
machine_rank: 0
main... | diffusers/examples/research_projects/flux_lora_quantization/ds2.yaml/0 | {
"file_path": "diffusers/examples/research_projects/flux_lora_quantization/ds2.yaml",
"repo_id": "diffusers",
"token_count": 196
} | 143 |
# Würstchen text-to-image fine-tuning
## Running locally with PyTorch
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 i... | diffusers/examples/research_projects/wuerstchen/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/research_projects/wuerstchen/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 1206
} | 144 |
# Stable Diffusion text-to-image fine-tuning
The `train_text_to_image.py` script shows how to fine-tune stable diffusion model on your own dataset.
___Note___:
___This script is experimental. The script fine-tunes the whole model and often times the model overfits and runs into issues like catastrophic forgetting. I... | diffusers/examples/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 5279
} | 145 |
# coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/textual_inversion/test_textual_inversion.py/0 | {
"file_path": "diffusers/examples/textual_inversion/test_textual_inversion.py",
"repo_id": "diffusers",
"token_count": 2914
} | 146 |
# 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/change_naming_configs_and_checkpoints.py/0 | {
"file_path": "diffusers/scripts/change_naming_configs_and_checkpoints.py",
"repo_id": "diffusers",
"token_count": 1631
} | 147 |
#!/usr/bin/env python3
import argparse
import math
import os
from copy import deepcopy
import requests
import torch
from audio_diffusion.models import DiffusionAttnUnet1D
from diffusion import sampling
from torch import nn
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
from diffusers.utils.... | diffusers/scripts/convert_dance_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dance_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 4672
} | 148 |
import argparse
import tempfile
import torch
from accelerate import load_checkpoint_and_dispatch
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import UnCLIPPipeline, UNet2DConditionModel, UNet2DModel
from diffusers.models.transformers.prior_transformer import PriorTransformer
from... | diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 18242
} | 149 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/scripts/convert_original_musicldm_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_original_musicldm_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 19562
} | 150 |
import argparse
import sys
import tensorrt as trt
def convert_models(onnx_path: str, num_controlnet: int, output_path: str, fp16: bool = False, sd_xl: bool = False):
"""
Function to convert models in stable diffusion controlnet pipeline into TensorRT format
Example:
python convert_stable_diffusion_c... | diffusers/scripts/convert_stable_diffusion_controlnet_to_tensorrt.py/0 | {
"file_path": "diffusers/scripts/convert_stable_diffusion_controlnet_to_tensorrt.py",
"repo_id": "diffusers",
"token_count": 1860
} | 151 |
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": 4021
} | 152 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/guiders/classifier_free_guidance.py/0 | {
"file_path": "diffusers/src/diffusers/guiders/classifier_free_guidance.py",
"repo_id": "diffusers",
"token_count": 2248
} | 153 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/hooks/layerwise_casting.py/0 | {
"file_path": "diffusers/src/diffusers/hooks/layerwise_casting.py",
"repo_id": "diffusers",
"token_count": 3938
} | 154 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/loaders/transformer_sd3.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/transformer_sd3.py",
"repo_id": "diffusers",
"token_count": 3903
} | 155 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl.py",
"repo_id": "diffusers",
"token_count": 10722
} | 156 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/cache_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/cache_utils.py",
"repo_id": "diffusers",
"token_count": 2061
} | 157 |
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...utils import logging
from ..controlnets.controlnet import ControlNetModel, ControlNetOutput
from ..modeling_utils import ModelMixin
logger = logging.get_logger(__name__)
class MultiControlNetMo... | diffusers/src/diffusers/models/controlnets/multicontrolnet.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/multicontrolnet.py",
"repo_id": "diffusers",
"token_count": 3836
} | 158 |
# Copyright 2025 AuraFlow Authors, The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | diffusers/src/diffusers/models/transformers/auraflow_transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/auraflow_transformer_2d.py",
"repo_id": "diffusers",
"token_count": 10089
} | 159 |
# Copyright 2025 Black Forest Labs, The HuggingFace Team and loadstone-rock . 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/LICEN... | diffusers/src/diffusers/models/transformers/transformer_chroma.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_chroma.py",
"repo_id": "diffusers",
"token_count": 12382
} | 160 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/transformers/transformer_temporal.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_temporal.py",
"repo_id": "diffusers",
"token_count": 7189
} | 161 |
from dataclasses import dataclass
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...loaders import UNet2DConditionLoadersMixin
from ...utils import BaseOutput, logging
from ..attention_processor import CROSS_AT... | diffusers/src/diffusers/models/unets/unet_spatio_temporal_condition.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_spatio_temporal_condition.py",
"repo_id": "diffusers",
"token_count": 10387
} | 162 |
# 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/src/diffusers/modular_pipelines/modular_pipeline_utils.py/0 | {
"file_path": "diffusers/src/diffusers/modular_pipelines/modular_pipeline_utils.py",
"repo_id": "diffusers",
"token_count": 10220
} | 163 |
# 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/optimization.py/0 | {
"file_path": "diffusers/src/diffusers/optimization.py",
"repo_id": "diffusers",
"token_count": 5885
} | 164 |
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