text stringlengths 5 424k | id stringlengths 13 178 | metadata dict | __index_level_0__ int64 0 672 |
|---|---|---|---|
use candle::{Result, Tensor, D};
use candle_nn as nn;
use candle_nn::Module;
#[derive(Debug)]
pub struct TimestepEmbedding {
linear_1: nn::Linear,
linear_2: nn::Linear,
}
impl TimestepEmbedding {
// act_fn: "silu"
pub fn new(vs: nn::VarBuilder, channel: usize, time_embed_dim: usize) -> Result<Self> {
... | candle/candle-transformers/src/models/stable_diffusion/embeddings.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/embeddings.rs",
"repo_id": "candle",
"token_count": 1008
} | 69 |
//! Vision Transformer (ViT) implementation.
//!
//! Vision Transformer applies transformer architecture to image classification
//! by splitting images into patches and processing them as a sequence.
//!
//! Key characteristics:
//! - Image patches as sequence tokens
//! - Self-attention between patches
//! - Position... | candle/candle-transformers/src/models/vit.rs/0 | {
"file_path": "candle/candle-transformers/src/models/vit.rs",
"repo_id": "candle",
"token_count": 6028
} | 70 |
use super::common::{AttnBlock, ResBlock, TimestepBlock};
use candle::{DType, Result, Tensor, D};
use candle_nn::VarBuilder;
#[derive(Debug)]
struct Block {
res_block: ResBlock,
ts_block: TimestepBlock,
attn_block: AttnBlock,
}
#[derive(Debug)]
pub struct WPrior {
projection: candle_nn::Conv2d,
con... | candle/candle-transformers/src/models/wuerstchen/prior.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/prior.rs",
"repo_id": "candle",
"token_count": 1920
} | 71 |
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::models::bert::{BertModel, Config};
use candle_wasm_example_bert::console_log;
use tokenizers::{PaddingParams, Tokenizer};
use wasm_bindgen::prelude::*;
#[wasm_bindgen]
pub struct Model {
bert: BertModel,
tokenizer: Tokeniz... | candle/candle-wasm-examples/bert/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/bert/src/bin/m.rs",
"repo_id": "candle",
"token_count": 1752
} | 72 |
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "llama2c-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
return new Uint8... | candle/candle-wasm-examples/llama2-c/llama2cWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/llama2cWorker.js",
"repo_id": "candle",
"token_count": 1223
} | 73 |
[package]
name = "candle-wasm-example-phi"
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-trans... | candle/candle-wasm-examples/phi/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/phi/Cargo.toml",
"repo_id": "candle",
"token_count": 278
} | 74 |
//load Candle Bert Module wasm module
let init, ModelConditionalGeneration;
async function fetchArrayBuffer(url) {
const cacheName = "t5-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuf... | candle/candle-wasm-examples/t5/T5ModelConditionalGeneration.js/0 | {
"file_path": "candle/candle-wasm-examples/t5/T5ModelConditionalGeneration.js",
"repo_id": "candle",
"token_count": 980
} | 75 |
fn main() {
wasm_logger::init(wasm_logger::Config::new(log::Level::Trace));
yew::Renderer::<candle_wasm_example_whisper::App>::new().render();
}
| candle/candle-wasm-examples/whisper/src/bin/app.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/bin/app.rs",
"repo_id": "candle",
"token_count": 67
} | 76 |
pub const NAMES: [&str; 80] = [
"person",
"bicycle",
"car",
"motorbike",
"aeroplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
... | candle/candle-wasm-examples/yolo/src/coco_classes.rs/0 | {
"file_path": "candle/candle-wasm-examples/yolo/src/coco_classes.rs",
"repo_id": "candle",
"token_count": 648
} | 77 |
MONGODB_URL=mongodb://localhost:27017/ | chat-ui/.env.ci/0 | {
"file_path": "chat-ui/.env.ci",
"repo_id": "chat-ui",
"token_count": 16
} | 78 |
{
"editor.formatOnSave": true,
"editor.defaultFormatter": "esbenp.prettier-vscode",
"editor.codeActionsOnSave": {
"source.fixAll": "explicit"
},
"eslint.validate": ["javascript", "svelte"],
"[svelte]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[typescript]": {
"editor.defaultFormatter": "e... | chat-ui/.vscode/settings.json/0 | {
"file_path": "chat-ui/.vscode/settings.json",
"repo_id": "chat-ui",
"token_count": 153
} | 79 |
{{- if and .Values.serviceAccount.enabled .Values.serviceAccount.create }}
apiVersion: v1
kind: ServiceAccount
automountServiceAccountToken: {{ .Values.serviceAccount.automountServiceAccountToken }}
metadata:
name: "{{ .Values.serviceAccount.name | default (include "name" .) }}"
namespace: {{ .Release.Namespace }}
... | chat-ui/chart/templates/service-account.yaml/0 | {
"file_path": "chat-ui/chart/templates/service-account.yaml",
"repo_id": "chat-ui",
"token_count": 154
} | 80 |
/// <reference types="@sveltejs/kit" />
/// <reference types="unplugin-icons/types/svelte" />
import type { User } from "$lib/types/User";
// See https://kit.svelte.dev/docs/types#app
// for information about these interfaces
declare global {
namespace App {
// interface Error {}
interface Locals {
sessionId:... | chat-ui/src/app.d.ts/0 | {
"file_path": "chat-ui/src/app.d.ts",
"repo_id": "chat-ui",
"token_count": 199
} | 81 |
<script lang="ts">
import { onMount } from "svelte";
interface Props {
onvisible?: () => void;
}
let { onvisible }: Props = $props();
let loader: HTMLDivElement | undefined = $state();
let observer: IntersectionObserver;
let intervalId: ReturnType<typeof setInterval> | undefined;
onMount(() => {
if (!loa... | chat-ui/src/lib/components/InfiniteScroll.svelte/0 | {
"file_path": "chat-ui/src/lib/components/InfiniteScroll.svelte",
"repo_id": "chat-ui",
"token_count": 439
} | 82 |
<script lang="ts">
interface Props {
checked: boolean;
name: string;
}
let { checked = $bindable(), name }: Props = $props();
function toggle() {
checked = !checked;
}
function onKeydown(e: KeyboardEvent) {
if (e.key === " " || e.key === "Enter") {
e.preventDefault();
toggle();
}
}
</script>
... | chat-ui/src/lib/components/Switch.svelte/0 | {
"file_path": "chat-ui/src/lib/components/Switch.svelte",
"repo_id": "chat-ui",
"token_count": 375
} | 83 |
<script lang="ts">
import { page } from "$app/state";
import type { MessageFile } from "$lib/types/Message";
import CarbonClose from "~icons/carbon/close";
import CarbonDocumentBlank from "~icons/carbon/document-blank";
import CarbonDownload from "~icons/carbon/download";
import CarbonDocument from "~icons/carbon... | chat-ui/src/lib/components/chat/UploadedFile.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/UploadedFile.svelte",
"repo_id": "chat-ui",
"token_count": 3532
} | 84 |
export type RouterFollowUp = {
title: string;
prompt: string;
};
export type RouterExample = {
title: string;
prompt: string;
followUps?: RouterFollowUp[];
};
export const routerExamples: RouterExample[] = [
{
title: "Pong game",
prompt: "Create a minimalist pong game using HTML and tailwindcss",
followU... | chat-ui/src/lib/constants/routerExamples.ts/0 | {
"file_path": "chat-ui/src/lib/constants/routerExamples.ts",
"repo_id": "chat-ui",
"token_count": 1540
} | 85 |
// Shouldn't be needed if we dove into sveltekit internals, see https://github.com/huggingface/chat-ui/pull/88#issuecomment-1523173850
import { logger } from "$lib/server/logger";
import { collections } from "$lib/server/database";
import { onExit } from "./exitHandler";
export class AbortedGenerations {
private sta... | chat-ui/src/lib/server/abortedGenerations.ts/0 | {
"file_path": "chat-ui/src/lib/server/abortedGenerations.ts",
"repo_id": "chat-ui",
"token_count": 397
} | 86 |
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type OpenAI from "openai";
import type { Stream } from "openai/streaming";
/**
* Transform a stream of OpenAI.Chat.ChatCompletion into a stream of TextGenerationStreamOutput
*/
export async function* openAIChatToTextGenerationStream(
c... | chat-ui/src/lib/server/endpoints/openai/openAIChatToTextGenerationStream.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/openai/openAIChatToTextGenerationStream.ts",
"repo_id": "chat-ui",
"token_count": 2120
} | 87 |
import { taskModel, models } from "$lib/server/models";
import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";
import type { EndpointMessage } from "./endpoints/endpoints";
export async function* generateFromDefaultEndpoint({
messages,
preprompt,
generateSettings,
modelId,
}: {
messages... | chat-ui/src/lib/server/generateFromDefaultEndpoint.ts/0 | {
"file_path": "chat-ui/src/lib/server/generateFromDefaultEndpoint.ts",
"repo_id": "chat-ui",
"token_count": 473
} | 88 |
import { writable } from "svelte/store";
export const ERROR_MESSAGES = {
default: "Oops, something went wrong.",
authOnly: "You have to be logged in.",
rateLimited: "You are sending too many messages. Try again later.",
};
export const error = writable<string | undefined>(undefined);
| chat-ui/src/lib/stores/errors.ts/0 | {
"file_path": "chat-ui/src/lib/stores/errors.ts",
"repo_id": "chat-ui",
"token_count": 86
} | 89 |
import type { Session } from "./Session";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
export interface MessageEvent extends Pick<Timestamps, "createdAt"> {
userId: User["_id"] | Session["sessionId"];
ip?: string;
expiresAt: Date;
type: "message" | "export";
}
| chat-ui/src/lib/types/MessageEvent.ts/0 | {
"file_path": "chat-ui/src/lib/types/MessageEvent.ts",
"repo_id": "chat-ui",
"token_count": 99
} | 90 |
/**
* Chunk array into arrays of length at most `chunkSize`
*
* @param chunkSize must be greater than or equal to 1
*/
export function chunk<T extends unknown[] | string>(arr: T, chunkSize: number): T[] {
if (isNaN(chunkSize) || chunkSize < 1) {
throw new RangeError("Invalid chunk size: " + chunkSize);
}
if (... | chat-ui/src/lib/utils/chunk.ts/0 | {
"file_path": "chat-ui/src/lib/utils/chunk.ts",
"repo_id": "chat-ui",
"token_count": 295
} | 91 |
import type { Model } from "$lib/types/Model";
export const findCurrentModel = (
models: Model[],
oldModels: { id: string; transferTo?: string }[] = [],
id?: string
): Model => {
if (id) {
const direct = models.find((m) => m.id === id);
if (direct) return direct;
const legacy = oldModels.find((m) => m.id ==... | chat-ui/src/lib/utils/models.ts/0 | {
"file_path": "chat-ui/src/lib/utils/models.ts",
"repo_id": "chat-ui",
"token_count": 181
} | 92 |
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import { describe, expect, it } from "vitest";
import { convertLegacyConversation } from "./convertLegacyConversation";
import { insertLegacyConversation } from "./treeHelpers.spec";
describe("convertLegacyConversation", () => {
... | chat-ui/src/lib/utils/tree/convertLegacyConversation.spec.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/convertLegacyConversation.spec.ts",
"repo_id": "chat-ui",
"token_count": 425
} | 93 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
export async function DELETE({ locals, params }) {
const messageId = params.messageId;
if (!messageId || typeof messageId !== "string") {
... | chat-ui/src/routes/api/conversation/[id]/message/[messageId]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/conversation/[id]/message/[messageId]/+server.ts",
"repo_id": "chat-ui",
"token_count": 398
} | 94 |
import { error, redirect } from "@sveltejs/kit";
import { getOIDCUserData, validateAndParseCsrfToken } from "$lib/server/auth";
import { z } from "zod";
import { base } from "$app/paths";
import { config } from "$lib/server/config";
import JSON5 from "json5";
import { updateUser } from "./updateUser.js";
const sanitiz... | chat-ui/src/routes/login/callback/+server.ts/0 | {
"file_path": "chat-ui/src/routes/login/callback/+server.ts",
"repo_id": "chat-ui",
"token_count": 938
} | 95 |
import { base } from "$app/paths";
import { redirect } from "@sveltejs/kit";
export async function load({ parent, params }) {
const data = await parent();
const model = data.models.find((m: { id: string }) => m.id === params.model);
if (!model || model.unlisted) {
redirect(302, `${base}/settings`);
}
return ... | chat-ui/src/routes/settings/(nav)/[...model]/+page.ts/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/[...model]/+page.ts",
"repo_id": "chat-ui",
"token_count": 111
} | 96 |
# Add patterns of files dvc should ignore, which could improve
# the performance. Learn more at
# https://dvc.org/doc/user-guide/dvcignore
| datasets/.dvcignore/0 | {
"file_path": "datasets/.dvcignore",
"repo_id": "datasets",
"token_count": 40
} | 97 |
.PHONY: quality style test
check_dirs := tests src benchmarks utils
# Check that source code meets quality standards
quality:
ruff check $(check_dirs) setup.py # linter
ruff format --check $(check_dirs) setup.py # formatter
# Format source code automatically
style:
ruff check --fix $(check_dirs) setup.py # lin... | datasets/Makefile/0 | {
"file_path": "datasets/Makefile",
"repo_id": "datasets",
"token_count": 148
} | 98 |
<!---
Copyright 2020 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 ... | datasets/docs/README.md/0 | {
"file_path": "datasets/docs/README.md",
"repo_id": "datasets",
"token_count": 3068
} | 99 |
# Create a dataset
Sometimes, you may need to create a dataset if you're working with your own data. Creating a dataset with 🤗 Datasets confers all the advantages of the library to your dataset: fast loading and processing, [stream enormous datasets](stream), [memory-mapping](https://huggingface.co/course/chapter5/4?... | datasets/docs/source/create_dataset.mdx/0 | {
"file_path": "datasets/docs/source/create_dataset.mdx",
"repo_id": "datasets",
"token_count": 1994
} | 100 |
# Load a dataset from the Hub
Finding high-quality datasets that are reproducible and accessible can be difficult. One of 🤗 Datasets main goals is to provide a simple way to load a dataset of any format or type. The easiest way to get started is to discover an existing dataset on the [Hugging Face Hub](https://huggin... | datasets/docs/source/load_hub.mdx/0 | {
"file_path": "datasets/docs/source/load_hub.mdx",
"repo_id": "datasets",
"token_count": 1342
} | 101 |
# Load tabular data
A tabular dataset is a generic dataset used to describe any data stored in rows and columns, where the rows represent an example and the columns represent a feature (can be continuous or categorical). These datasets are commonly stored in CSV files, Pandas DataFrames, and in database tables. This g... | datasets/docs/source/tabular_load.mdx/0 | {
"file_path": "datasets/docs/source/tabular_load.mdx",
"repo_id": "datasets",
"token_count": 2026
} | 102 |
[tool.ruff]
line-length = 119
[tool.ruff.lint]
# Ignored rules:
# "E501" -> line length violation
# "F821" -> undefined named in type annotation (e.g. Literal["something"])
# "C901" -> `function_name` is too complex
ignore = ["E501", "F821", "C901"]
select = ["C", "E", "F", "I", "W"]
[tool.ruff.lint.isort]
line... | datasets/pyproject.toml/0 | {
"file_path": "datasets/pyproject.toml",
"repo_id": "datasets",
"token_count": 274
} | 103 |
from typing import TypeVar
from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset
DatasetType = TypeVar("DatasetType", Dataset, IterableDataset)
def split_dataset_by_node(dataset: DatasetType, rank: int, world_size: int) -... | datasets/src/datasets/distributed.py/0 | {
"file_path": "datasets/src/datasets/distributed.py",
"repo_id": "datasets",
"token_count": 582
} | 104 |
import inspect
import os
import random
import shutil
import tempfile
import weakref
from functools import wraps
from pathlib import Path
from typing import TYPE_CHECKING, Any, Callable, Optional, Union
import numpy as np
import xxhash
from . import config
from .naming import INVALID_WINDOWS_CHARACTERS_IN_PATH
from .u... | datasets/src/datasets/fingerprint.py/0 | {
"file_path": "datasets/src/datasets/fingerprint.py",
"repo_id": "datasets",
"token_count": 7512
} | 105 |
import json
import os
from typing import BinaryIO, Optional, Union
import fsspec
import pyarrow.parquet as pq
from .. import Dataset, Features, NamedSplit, config
from ..arrow_writer import get_writer_batch_size_from_data_size, get_writer_batch_size_from_features
from ..formatting import query_table
from ..packaged_m... | datasets/src/datasets/io/parquet.py/0 | {
"file_path": "datasets/src/datasets/io/parquet.py",
"repo_id": "datasets",
"token_count": 2580
} | 106 |
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
from datasets.utils.py_utils import Lit... | datasets/src/datasets/packaged_modules/csv/csv.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/csv/csv.py",
"repo_id": "datasets",
"token_count": 3883
} | 107 |
import datasets
from ..folder_based_builder import folder_based_builder
logger = datasets.utils.logging.get_logger(__name__)
class PdfFolderConfig(folder_based_builder.FolderBasedBuilderConfig):
"""BuilderConfig for ImageFolder."""
drop_labels: bool = None
drop_metadata: bool = None
def __post_in... | datasets/src/datasets/packaged_modules/pdffolder/pdffolder.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/pdffolder/pdffolder.py",
"repo_id": "datasets",
"token_count": 201
} | 108 |
import importlib.util
import os
import tempfile
from pathlib import PurePath
from typing import TYPE_CHECKING, NamedTuple, Optional, Union
import fsspec
import numpy as np
from .features import List
from .utils import logging
from .utils import tqdm as hf_tqdm
if TYPE_CHECKING:
from .arrow_dataset import Datase... | datasets/src/datasets/search.py/0 | {
"file_path": "datasets/src/datasets/search.py",
"repo_id": "datasets",
"token_count": 15323
} | 109 |
# Copyright 2020 Optuna, Hugging Face
#
# 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 ... | datasets/src/datasets/utils/logging.py/0 | {
"file_path": "datasets/src/datasets/utils/logging.py",
"repo_id": "datasets",
"token_count": 1912
} | 110 |
# 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/version.py/0 | {
"file_path": "datasets/src/datasets/utils/version.py",
"repo_id": "datasets",
"token_count": 1291
} | 111 |
import textwrap
import pyarrow as pa
import pytest
from datasets import Features, Value
from datasets.builder import InvalidConfigName
from datasets.data_files import DataFilesList
from datasets.packaged_modules.json.json import Json, JsonConfig
@pytest.fixture
def jsonl_file(tmp_path):
filename = tmp_path / "f... | datasets/tests/packaged_modules/test_json.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_json.py",
"repo_id": "datasets",
"token_count": 3820
} | 112 |
import warnings
import pytest
import datasets.utils.deprecation_utils
from datasets.exceptions import (
ChecksumVerificationError,
ExpectedMoreDownloadedFilesError,
ExpectedMoreSplitsError,
NonMatchingChecksumError,
NonMatchingSplitsSizesError,
SplitsVerificationError,
UnexpectedDownloaded... | datasets/tests/test_exceptions.py/0 | {
"file_path": "datasets/tests/test_exceptions.py",
"repo_id": "datasets",
"token_count": 360
} | 113 |
import pytest
from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested
from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows
def add_one(i): # picklable for multiprocessing
return i + 1
@require_dill_gt_0_3_2
@require_jo... | datasets/tests/test_parallel.py/0 | {
"file_path": "datasets/tests/test_parallel.py",
"repo_id": "datasets",
"token_count": 825
} | 114 |
include LICENSE
include src/diffusers/utils/model_card_template.md
| diffusers/MANIFEST.in/0 | {
"file_path": "diffusers/MANIFEST.in",
"repo_id": "diffusers",
"token_count": 20
} | 115 |
FROM ubuntu:20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update \
&& apt-get install -y software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa
RUN apt install -y bash \
build-essential \
... | diffusers/docker/diffusers-doc-builder/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-doc-builder/Dockerfile",
"repo_id": "diffusers",
"token_count": 823
} | 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 applicable law or agreed... | diffusers/docs/source/en/api/image_processor.md/0 | {
"file_path": "diffusers/docs/source/en/api/image_processor.md",
"repo_id": "diffusers",
"token_count": 562
} | 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/models/consisid_transformer3d.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/consisid_transformer3d.md",
"repo_id": "diffusers",
"token_count": 380
} | 118 |
<!-- 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": 1853
} | 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 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
} | 120 |
# 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
} | 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 agree... | diffusers/docs/source/en/optimization/attention_backends.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/attention_backends.md",
"repo_id": "diffusers",
"token_count": 2281
} | 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/optimization/tome.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/tome.md",
"repo_id": "diffusers",
"token_count": 3387
} | 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/training/ddpo.md/0 | {
"file_path": "diffusers/docs/source/en/training/ddpo.md",
"repo_id": "diffusers",
"token_count": 322
} | 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/tutorials/using_peft_for_inference.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/using_peft_for_inference.md",
"repo_id": "diffusers",
"token_count": 9244
} | 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/en/using-diffusers/inpaint.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/inpaint.md",
"repo_id": "diffusers",
"token_count": 14185
} | 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/en/using-diffusers/text-img2vid.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/text-img2vid.md",
"repo_id": "diffusers",
"token_count": 5831
} | 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/conceptual/evaluation.md/0 | {
"file_path": "diffusers/docs/source/ko/conceptual/evaluation.md",
"repo_id": "diffusers",
"token_count": 16762
} | 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/training/adapt_a_model.md/0 | {
"file_path": "diffusers/docs/source/ko/training/adapt_a_model.md",
"repo_id": "diffusers",
"token_count": 1850
} | 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/ko/using-diffusers/custom_pipeline_overview.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/custom_pipeline_overview.md",
"repo_id": "diffusers",
"token_count": 2389
} | 130 |
<!--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/unconditional_image_generation.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/unconditional_image_generation.md",
"repo_id": "diffusers",
"token_count": 1741
} | 131 |
<!--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，无任何明示或暗示的担保或条件。有关许可证管理权限和限制的具体语言，请参阅许可证。
-->
# Intel Gaudi
Intel Gaudi AI 加速器系列包括 [Intel Gaudi 1](https://habana.ai/products/gaudi/)... | diffusers/docs/source/zh/optimization/habana.md/0 | {
"file_path": "diffusers/docs/source/zh/optimization/habana.md",
"repo_id": "diffusers",
"token_count": 1058
} | 132 |
<!--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/training/controlnet.md/0 | {
"file_path": "diffusers/docs/source/zh/training/controlnet.md",
"repo_id": "diffusers",
"token_count": 6948
} | 133 |
# 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 | {
"file_path": "diffusers/examples/community/adaptive_mask_inpainting.py",
"repo_id": "diffusers",
"token_count": 30874
} | 134 |
import inspect
from typing import Callable, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDict
from diffusers.models import ... | diffusers/examples/community/img2img_inpainting.py/0 | {
"file_path": "diffusers/examples/community/img2img_inpainting.py",
"repo_id": "diffusers",
"token_count": 9670
} | 135 |
# 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/examples/community/matryoshka.py/0 | {
"file_path": "diffusers/examples/community/matryoshka.py",
"repo_id": "diffusers",
"token_count": 100488
} | 136 |
# Copyright 2025 Black Forest Labs and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers/examples/community/pipeline_flux_differential_img2img.py/0 | {
"file_path": "diffusers/examples/community/pipeline_flux_differential_img2img.py",
"repo_id": "diffusers",
"token_count": 21505
} | 137 |
# 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/examples/community/pipeline_stable_diffusion_xl_attentive_eraser.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_attentive_eraser.py",
"repo_id": "diffusers",
"token_count": 52108
} | 138 |
# 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/examples/community/rerender_a_video.py/0 | {
"file_path": "diffusers/examples/community/rerender_a_video.py",
"repo_id": "diffusers",
"token_count": 27316
} | 139 |
# 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/examples/community/stable_diffusion_repaint.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_repaint.py",
"repo_id": "diffusers",
"token_count": 19672
} | 140 |
# 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/consistency_distillation/test_lcm_lora.py/0 | {
"file_path": "diffusers/examples/consistency_distillation/test_lcm_lora.py",
"repo_id": "diffusers",
"token_count": 2105
} | 141 |
#!/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.py/0 | {
"file_path": "diffusers/examples/controlnet/train_controlnet.py",
"repo_id": "diffusers",
"token_count": 20834
} | 142 |
# DreamBooth training example for Stable Diffusion 3 (SD3)
[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_sd3.py` script shows how to implement the training procedure and adapt ... | diffusers/examples/dreambooth/README_sd3.md/0 | {
"file_path": "diffusers/examples/dreambooth/README_sd3.md",
"repo_id": "diffusers",
"token_count": 3202
} | 143 |
#!/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_sd3.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_lora_sd3.py",
"repo_id": "diffusers",
"token_count": 36888
} | 144 |
# Kandinsky2.2 text-to-image fine-tuning
Kandinsky 2.2 includes a prior pipeline that generates image embeddings from text prompts, and a decoder pipeline that generates the output image based on the image embeddings. We provide `train_text_to_image_prior.py` and `train_text_to_image_decoder.py` scripts to show you ho... | diffusers/examples/kandinsky2_2/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 4392
} | 145 |
import torch
from torch import nn
from .RecSVTR import Block
class Swish(nn.Module):
def __int__(self):
super(Swish, self).__int__()
def forward(self, x):
return x * torch.sigmoid(x)
class Im2Im(nn.Module):
def __init__(self, in_channels, **kwargs):
super().__init__()
s... | diffusers/examples/research_projects/anytext/ocr_recog/RNN.py/0 | {
"file_path": "diffusers/examples/research_projects/anytext/ocr_recog/RNN.py",
"repo_id": "diffusers",
"token_count": 3527
} | 146 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/research_projects/consistency_training/train_cm_ct_unconditional.py/0 | {
"file_path": "diffusers/examples/research_projects/consistency_training/train_cm_ct_unconditional.py",
"repo_id": "diffusers",
"token_count": 26285
} | 147 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/research_projects/flux_lora_quantization/compute_embeddings.py/0 | {
"file_path": "diffusers/examples/research_projects/flux_lora_quantization/compute_embeddings.py",
"repo_id": "diffusers",
"token_count": 1459
} | 148 |
## Textual Inversion fine-tuning example
[Textual inversion](https://huggingface.co/papers/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable d... | diffusers/examples/research_projects/intel_opts/textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1014
} | 149 |
# Multi Subject DreamBooth training
[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.
This `train_multi_subject_dreambooth.py` script shows how to implement the training procedure for one or more subjects... | diffusers/examples/research_projects/multi_subject_dreambooth/README.md/0 | {
"file_path": "diffusers/examples/research_projects/multi_subject_dreambooth/README.md",
"repo_id": "diffusers",
"token_count": 4801
} | 150 |
## Textual Inversion fine-tuning example
[Textual inversion](https://huggingface.co/papers/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable d... | diffusers/examples/research_projects/onnxruntime/textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1127
} | 151 |
# 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/research_projects/promptdiffusion/promptdiffusioncontrolnet.py/0 | {
"file_path": "diffusers/examples/research_projects/promptdiffusion/promptdiffusioncontrolnet.py",
"repo_id": "diffusers",
"token_count": 8426
} | 152 |
# Scheduled Pseudo-Huber Loss for Diffusers
These are the modifications of to include the possibility of training text2image models with Scheduled Pseudo Huber loss, introduced in https://huggingface.co/papers/2403.16728. (https://github.com/kabachuha/SPHL-for-stable-diffusion)
## Why this might be useful?
- If you ... | diffusers/examples/research_projects/scheduled_huber_loss_training/README.md/0 | {
"file_path": "diffusers/examples/research_projects/scheduled_huber_loss_training/README.md",
"repo_id": "diffusers",
"token_count": 218
} | 153 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/research_projects/vae/vae_roundtrip.py/0 | {
"file_path": "diffusers/examples/research_projects/vae/vae_roundtrip.py",
"repo_id": "diffusers",
"token_count": 3623
} | 154 |
# Create a server
Diffusers' pipelines can be used as an inference engine for a server. It supports concurrent and multithreaded requests to generate images that may be requested by multiple users at the same time.
This guide will show you how to use the [`StableDiffusion3Pipeline`] in a server, but feel free to use... | diffusers/examples/server/README.md/0 | {
"file_path": "diffusers/examples/server/README.md",
"repo_id": "diffusers",
"token_count": 1151
} | 155 |
#!/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/text_to_image/test_text_to_image_lora.py/0 | {
"file_path": "diffusers/examples/text_to_image/test_text_to_image_lora.py",
"repo_id": "diffusers",
"token_count": 6179
} | 156 |
import argparse
import time
from pathlib import Path
from typing import Any, Dict, Literal
import torch
from diffusers import AsymmetricAutoencoderKL
ASYMMETRIC_AUTOENCODER_KL_x_1_5_CONFIG = {
"in_channels": 3,
"out_channels": 3,
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBl... | diffusers/scripts/convert_asymmetric_vqgan_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_asymmetric_vqgan_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3351
} | 157 |
import argparse
import os
import torch
from torchvision.datasets.utils import download_url
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, Transformer2DModel
pretrained_models = {512: "DiT-XL-2-512x512.pt", 256: "DiT-XL-2-256x256.pt"}
def download_model(model_name):
"""
Downloads a pre-tr... | diffusers/scripts/convert_dit_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dit_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3037
} | 158 |
import argparse
import os
import torch
from safetensors.torch import load_file
from transformers import AutoModel, AutoTokenizer
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, LuminaNextDiT2DModel, LuminaPipeline
def main(args):
# checkpoint from https://huggingface.co/Alpha-VLLM/Lumina-N... | diffusers/scripts/convert_lumina_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_lumina_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3148
} | 159 |
#!/usr/bin/env python
from __future__ import annotations
import argparse
import os
from contextlib import nullcontext
import torch
from accelerate import init_empty_weights
from huggingface_hub import hf_hub_download, snapshot_download
from termcolor import colored
from transformers import AutoModelForCausalLM, AutoT... | diffusers/scripts/convert_sana_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_sana_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 9521
} | 160 |
import argparse
import io
import requests
import torch
import yaml
from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
assign_to_checkpoint,
conv_attn_to_linear,
create_vae_diffusers_config,
renew_vae_attention_paths,
renew_vae_resnet_paths,
)
f... | diffusers/scripts/convert_vae_pt_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vae_pt_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3572
} | 161 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | diffusers/src/diffusers/configuration_utils.py/0 | {
"file_path": "diffusers/src/diffusers/configuration_utils.py",
"repo_id": "diffusers",
"token_count": 14950
} | 162 |
# 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/smoothed_energy_guidance.py/0 | {
"file_path": "diffusers/src/diffusers/guiders/smoothed_energy_guidance.py",
"repo_id": "diffusers",
"token_count": 5192
} | 163 |
from typing import TYPE_CHECKING
from ..utils import DIFFUSERS_SLOW_IMPORT, _LazyModule, deprecate
from ..utils.import_utils import is_peft_available, is_torch_available, is_transformers_available
def text_encoder_lora_state_dict(text_encoder):
deprecate(
"text_encoder_load_state_dict in `models`",
... | diffusers/src/diffusers/loaders/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/__init__.py",
"repo_id": "diffusers",
"token_count": 2647
} | 164 |
# 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/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/models/__init__.py",
"repo_id": "diffusers",
"token_count": 4854
} | 165 |
# Copyright 2025 The Hunyuan Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl_hunyuan_video.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_hunyuan_video.py",
"repo_id": "diffusers",
"token_count": 21290
} | 166 |
# 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/controlnet_sparsectrl.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnet_sparsectrl.py",
"repo_id": "diffusers",
"token_count": 2376
} | 167 |
# 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/embeddings_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/embeddings_flax.py",
"repo_id": "diffusers",
"token_count": 1911
} | 168 |
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