text stringlengths 7 328k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 471 |
|---|---|---|---|
# See: https://raw.githubusercontent.com/huggingface/tokenizers/main/bindings/python/stub.py
import argparse
import inspect
import os
from typing import Optional
import black
from pathlib import Path
import re
INDENT = " " * 4
GENERATED_COMMENT = "# Generated content DO NOT EDIT\n"
TYPING = """from typing import Any,... | candle/candle-pyo3/stub.py/0 | {
"file_path": "candle/candle-pyo3/stub.py",
"repo_id": "candle",
"token_count": 3931
} | 34 |
use super::with_tracing::{linear_no_bias as linear, Linear, RmsNorm};
use candle::{DType, Device, IndexOp, Result, Tensor, D};
use candle_nn::{embedding, Embedding, Module, VarBuilder};
use std::collections::HashMap;
pub const MAX_SEQ_LEN: usize = 4096;
#[derive(Debug, Clone, serde::Deserialize)]
pub struct LlamaConf... | candle/candle-transformers/src/models/llama.rs/0 | {
"file_path": "candle/candle-transformers/src/models/llama.rs",
"repo_id": "candle",
"token_count": 7590
} | 35 |
use crate::models::with_tracing::QMatMul;
use crate::quantized_nn::{layer_norm, linear, Embedding, Linear};
pub use crate::quantized_var_builder::VarBuilder;
use candle::{Module, Result, Tensor, D};
use candle_nn::LayerNorm;
pub type Config = super::blip_text::Config;
#[derive(Debug, Clone)]
struct TextEmbeddings {
... | candle/candle-transformers/src/models/quantized_blip_text.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_blip_text.rs",
"repo_id": "candle",
"token_count": 7022
} | 36 |
use super::with_tracing::{layer_norm, linear_no_bias as linear, LayerNorm, Linear};
use candle::{DType, Device, IndexOp, Result, Tensor};
use candle_nn::{embedding, Embedding, Module, VarBuilder};
use std::collections::{HashMap, HashSet};
fn default_num_attention_heads() -> usize {
64
}
// https://huggingface.co/... | candle/candle-transformers/src/models/rwkv_v5.rs/0 | {
"file_path": "candle/candle-transformers/src/models/rwkv_v5.rs",
"repo_id": "candle",
"token_count": 7710
} | 37 |
pub mod attention;
pub mod clip;
pub mod ddim;
pub mod ddpm;
pub mod embeddings;
pub mod euler_ancestral_discrete;
pub mod resnet;
pub mod schedulers;
pub mod unet_2d;
pub mod unet_2d_blocks;
pub mod utils;
pub mod vae;
use std::sync::Arc;
use candle::{DType, Device, Result};
use candle_nn as nn;
use self::scheduler... | candle/candle-transformers/src/models/stable_diffusion/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/mod.rs",
"repo_id": "candle",
"token_count": 7668
} | 38 |
use candle::{Device, Result, Tensor};
use candle_transformers::generation::LogitsProcessor;
#[test]
fn sample_with_zero_temperature() -> Result<()> {
let mut logits_process = LogitsProcessor::new(1337, None, None);
let logits = Tensor::new(&[0.1, 0.2, 0.3, 0.4], &Device::Cpu)?;
let token = logits_process.s... | candle/candle-transformers/tests/generation_tests.rs/0 | {
"file_path": "candle/candle-transformers/tests/generation_tests.rs",
"repo_id": "candle",
"token_count": 806
} | 39 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle Segment Anything Model (SAM) 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... | candle/candle-wasm-examples/segment-anything/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/lib-example.html",
"repo_id": "candle",
"token_count": 10333
} | 40 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Welcome to Candle!</title>
<link data-trunk rel="copy-file" href="yolov8s.safetensors" />
<link data-trunk rel="copy-file" href="bike.jpeg" />
<link data-trunk rel="rust" href="Cargo.toml" data-bin="app" data-type="main" />
... | candle/candle-wasm-examples/yolo/index.html/0 | {
"file_path": "candle/candle-wasm-examples/yolo/index.html",
"repo_id": "candle",
"token_count": 322
} | 41 |
[package]
name = "tensor-tools"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
anyhow = { workspace = true }
candle = { workspace = true }
clap = { workspace = true ... | candle/tensor-tools/Cargo.toml/0 | {
"file_path": "candle/tensor-tools/Cargo.toml",
"repo_id": "candle",
"token_count": 119
} | 42 |
# Prompt templates
These are the templates used to format the conversation history for different models used in HuggingChat. Set them in your `.env.local` [like so](https://github.com/huggingface/chat-ui#chatprompttemplate).
## Llama 2
```env
<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}... | chat-ui/PROMPTS.md/0 | {
"file_path": "chat-ui/PROMPTS.md",
"repo_id": "chat-ui",
"token_count": 1133
} | 43 |
import type { EndpointParameters } from "./server/endpoints/endpoints";
import type { BackendModel } from "./server/models";
type buildPromptOptions = Pick<EndpointParameters, "messages" | "preprompt" | "continueMessage"> & {
model: BackendModel;
};
export async function buildPrompt({
messages,
model,
preprompt,
... | chat-ui/src/lib/buildPrompt.ts/0 | {
"file_path": "chat-ui/src/lib/buildPrompt.ts",
"repo_id": "chat-ui",
"token_count": 327
} | 44 |
<script lang="ts">
import { page } from "$app/stores";
import { getHref } from "$lib/utils/getHref";
import PaginationArrow from "./PaginationArrow.svelte";
export let classNames = "";
export let numItemsPerPage: number;
export let numTotalItems: number;
const ELLIPSIS_IDX = -1 as const;
$: numTotalPages = M... | chat-ui/src/lib/components/Pagination.svelte/0 | {
"file_path": "chat-ui/src/lib/components/Pagination.svelte",
"repo_id": "chat-ui",
"token_count": 1210
} | 45 |
<script lang="ts">
import { marked } from "marked";
import markedKatex from "marked-katex-extension";
import type { Message } from "$lib/types/Message";
import { afterUpdate, createEventDispatcher, tick } from "svelte";
import { deepestChild } from "$lib/utils/deepestChild";
import { page } from "$app/stores";
... | chat-ui/src/lib/components/chat/ChatMessage.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/ChatMessage.svelte",
"repo_id": "chat-ui",
"token_count": 6727
} | 46 |
import type { MongoClient, ObjectId } from "mongodb";
import updateSearchAssistant from "./01-update-search-assistants";
export interface Migration {
_id: ObjectId;
name: string;
up: (client: MongoClient) => Promise<boolean>;
down?: (client: MongoClient) => Promise<boolean>;
runForFreshInstall?: "only" | "never"... | chat-ui/src/lib/migrations/routines/index.ts/0 | {
"file_path": "chat-ui/src/lib/migrations/routines/index.ts",
"repo_id": "chat-ui",
"token_count": 149
} | 47 |
import { buildPrompt } from "$lib/buildPrompt";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type { Endpoint } from "../endpoints";
import { z } from "zod";
export const endpointOllamaParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
ty... | chat-ui/src/lib/server/endpoints/ollama/endpointOllama.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/ollama/endpointOllama.ts",
"repo_id": "chat-ui",
"token_count": 1126
} | 48 |
import { JSDOM, VirtualConsole } from "jsdom";
export async function parseWeb(url: string) {
const abortController = new AbortController();
setTimeout(() => abortController.abort(), 10000);
const r = await fetch(url, { signal: abortController.signal, credentials: "omit" }).catch();
if (r.headers.get("content-type... | chat-ui/src/lib/server/websearch/parseWeb.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/parseWeb.ts",
"repo_id": "chat-ui",
"token_count": 428
} | 49 |
import type { Timestamps } from "./Timestamps";
import type { Assistant } from "./Assistant";
export interface AssistantStats extends Timestamps {
assistantId: Assistant["_id"];
date: {
at: Date;
span: "hour";
};
count: number;
}
| chat-ui/src/lib/types/AssistantStats.ts/0 | {
"file_path": "chat-ui/src/lib/types/AssistantStats.ts",
"repo_id": "chat-ui",
"token_count": 80
} | 50 |
/* eslint-disable no-shadow */
export enum UrlDependency {
ConversationList = "conversation:list",
Conversation = "conversation",
}
| chat-ui/src/lib/types/UrlDependency.ts/0 | {
"file_path": "chat-ui/src/lib/types/UrlDependency.ts",
"repo_id": "chat-ui",
"token_count": 47
} | 51 |
import { PUBLIC_APP_ASSETS } from "$env/static/public";
export const isHuggingChat = PUBLIC_APP_ASSETS === "huggingchat";
| chat-ui/src/lib/utils/isHuggingChat.ts/0 | {
"file_path": "chat-ui/src/lib/utils/isHuggingChat.ts",
"repo_id": "chat-ui",
"token_count": 40
} | 52 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import { v4 } from "uuid";
export function addSibling(
conv: Pick<Conversation, "messages" | "rootMessageId">,
message: Omit<Message, "id">,
siblingId: Message["id"]
): Message["id"] {
if (conv.messages.... | chat-ui/src/lib/utils/tree/addSibling.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/addSibling.ts",
"repo_id": "chat-ui",
"token_count": 439
} | 53 |
import { collections } from "$lib/server/database";
import { authCondition } from "$lib/server/auth";
import type { Conversation } from "$lib/types/Conversation";
const NUM_PER_PAGE = 300;
export async function GET({ locals, url }) {
const p = parseInt(url.searchParams.get("p") ?? "0");
if (locals.user?._id || loc... | chat-ui/src/routes/api/conversations/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/conversations/+server.ts",
"repo_id": "chat-ui",
"token_count": 364
} | 54 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import type { RequestHandler } from "./$types";
import { downloadFile } from "$lib/server/files/downloadFile";
export... | chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts",
"repo_id": "chat-ui",
"token_count": 439
} | 55 |
<script lang="ts">
import { onMount } from "svelte";
import { base } from "$app/paths";
import { afterNavigate, goto } from "$app/navigation";
import { page } from "$app/stores";
import { useSettingsStore } from "$lib/stores/settings";
import CarbonClose from "~icons/carbon/close";
import CarbonArrowUpRight from... | chat-ui/src/routes/settings/(nav)/+layout.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/+layout.svelte",
"repo_id": "chat-ui",
"token_count": 2052
} | 56 |
@import "highlight.js/styles/atom-one-dark";
| chat-ui/src/styles/highlight-js.css/0 | {
"file_path": "chat-ui/src/styles/highlight-js.css",
"repo_id": "chat-ui",
"token_count": 17
} | 57 |
const defaultTheme = require("tailwindcss/defaultTheme");
const colors = require("tailwindcss/colors");
import dotenv from "dotenv";
dotenv.config({ path: "./.env" });
/** @type {import('tailwindcss').Config} */
export default {
darkMode: "class",
content: ["./src/**/*.{html,js,svelte,ts}"],
theme: {
extend: {
... | chat-ui/tailwind.config.cjs/0 | {
"file_path": "chat-ui/tailwind.config.cjs",
"repo_id": "chat-ui",
"token_count": 236
} | 58 |
import json
import os
import tempfile
import datasets
from utils import generate_example_dataset, get_duration
SPEED_TEST_N_EXAMPLES = 50_000
SMALL_TEST = 5_000
RESULTS_BASEPATH, RESULTS_FILENAME = os.path.split(__file__)
RESULTS_FILE_PATH = os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py", ... | datasets/benchmarks/benchmark_iterating.py/0 | {
"file_path": "datasets/benchmarks/benchmark_iterating.py",
"repo_id": "datasets",
"token_count": 1697
} | 59 |
# Dataset features
[`Features`] defines the internal structure of a dataset. It is used to specify the underlying serialization format. What's more interesting to you though is that [`Features`] contains high-level information about everything from the column names and types, to the [`ClassLabel`]. You can think of [`... | datasets/docs/source/about_dataset_features.mdx/0 | {
"file_path": "datasets/docs/source/about_dataset_features.mdx",
"repo_id": "datasets",
"token_count": 2334
} | 60 |
# Cloud storage
🤗 Datasets supports access to cloud storage providers through a `fsspec` FileSystem implementations.
You can save and load datasets from any cloud storage in a Pythonic way.
Take a look at the following table for some example of supported cloud storage providers:
| Storage provider | Filesystem i... | datasets/docs/source/filesystems.mdx/0 | {
"file_path": "datasets/docs/source/filesystems.mdx",
"repo_id": "datasets",
"token_count": 2640
} | 61 |
# Object detection
Object detection models identify something in an image, and object detection datasets are used for applications such as autonomous driving and detecting natural hazards like wildfire. This guide will show you how to apply transformations to an object detection dataset following the [tutorial](https:... | datasets/docs/source/object_detection.mdx/0 | {
"file_path": "datasets/docs/source/object_detection.mdx",
"repo_id": "datasets",
"token_count": 2299
} | 62 |
# 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": 2010
} | 63 |
# Copyright 2021 The HuggingFace 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 ... | datasets/metrics/cer/test_cer.py/0 | {
"file_path": "datasets/metrics/cer/test_cer.py",
"repo_id": "datasets",
"token_count": 2407
} | 64 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/exact_match/exact_match.py/0 | {
"file_path": "datasets/metrics/exact_match/exact_match.py",
"repo_id": "datasets",
"token_count": 2111
} | 65 |
# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/matthews_correlation/matthews_correlation.py/0 | {
"file_path": "datasets/metrics/matthews_correlation/matthews_correlation.py",
"repo_id": "datasets",
"token_count": 1736
} | 66 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/recall/recall.py/0 | {
"file_path": "datasets/metrics/recall/recall.py",
"repo_id": "datasets",
"token_count": 2604
} | 67 |
# Metric Card for SQuAD v2
## Metric description
This metric wraps the official scoring script for version 2 of the [Stanford Question Answering Dataset (SQuAD)](https://huggingface.co/datasets/squad_v2).
SQuAD is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia art... | datasets/metrics/squad_v2/README.md/0 | {
"file_path": "datasets/metrics/squad_v2/README.md",
"repo_id": "datasets",
"token_count": 2372
} | 68 |
<jupyter_start><jupyter_text>**⚠️ This notebook is deprecated in favor of the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/en/quickstart.ipynb)** HuggingFace 🤗 Datasets library - Quick overviewModels come and go (linear models, LSTM, Transformers, ...) but two core elements ha... | datasets/notebooks/Overview.ipynb/0 | {
"file_path": "datasets/notebooks/Overview.ipynb",
"repo_id": "datasets",
"token_count": 10406
} | 69 |
import logging
import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator
import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import D... | datasets/src/datasets/commands/test.py/0 | {
"file_path": "datasets/src/datasets/commands/test.py",
"repo_id": "datasets",
"token_count": 4202
} | 70 |
import importlib
import shutil
import warnings
from typing import List
import fsspec
import fsspec.asyn
from fsspec.implementations.local import LocalFileSystem
from ..utils.deprecation_utils import deprecated
from . import compression
_has_s3fs = importlib.util.find_spec("s3fs") is not None
if _has_s3fs:
from... | datasets/src/datasets/filesystems/__init__.py/0 | {
"file_path": "datasets/src/datasets/filesystems/__init__.py",
"repo_id": "datasets",
"token_count": 866
} | 71 |
from typing import Callable, Optional
from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class GeneratorDatasetInputStream(AbstractDatasetInputStream):
def __init__(
self,
generator: Callable,
features: Optional... | datasets/src/datasets/io/generator.py/0 | {
"file_path": "datasets/src/datasets/io/generator.py",
"repo_id": "datasets",
"token_count": 868
} | 72 |
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=True)
class AudioClassification(TaskTemplate):
task: str = field(default="audio-classification", metadata={"include_in_asdict_... | datasets/src/datasets/tasks/audio_classification.py/0 | {
"file_path": "datasets/src/datasets/tasks/audio_classification.py",
"repo_id": "datasets",
"token_count": 487
} | 73 |
"""Contains utilities to flag a feature as "experimental" in datasets."""
import warnings
from functools import wraps
from typing import Callable
def experimental(fn: Callable) -> Callable:
"""Decorator to flag a feature as experimental.
An experimental feature trigger a warning when used as it might be sub... | datasets/src/datasets/utils/experimental.py/0 | {
"file_path": "datasets/src/datasets/utils/experimental.py",
"repo_id": "datasets",
"token_count": 386
} | 74 |
[
"unknown",
"n<1K",
"1K<n<10K",
"10K<n<100K",
"100K<n<1M",
"1M<n<10M",
"10M<n<100M",
"100M<n<1B",
"1B<n<10B",
"10B<n<100B",
"100B<n<1T",
"n>1T"
]
| datasets/src/datasets/utils/resources/size_categories.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/size_categories.json",
"repo_id": "datasets",
"token_count": 124
} | 75 |
import pytest
DATASET_LOADING_SCRIPT_NAME = "__dummy_dataset1__"
DATASET_LOADING_SCRIPT_CODE = """
import json
import os
import datasets
REPO_URL = "https://huggingface.co/datasets/hf-internal-testing/raw_jsonl/resolve/main/"
URLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-... | datasets/tests/commands/conftest.py/0 | {
"file_path": "datasets/tests/commands/conftest.py",
"repo_id": "datasets",
"token_count": 1193
} | 76 |
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def csv_file(tmp_path):
filename = tmp_path / "file.csv"
data = textwrap.dedent(
"""\
... | datasets/tests/packaged_modules/test_csv.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_csv.py",
"repo_id": "datasets",
"token_count": 1672
} | 77 |
import json
import os
from pathlib import Path
import pytest
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename
URL = "http://www.mocksite.com/file1.txt"
CONTENT = '"text": ["foo", "fo... | datasets/tests/test_download_manager.py/0 | {
"file_path": "datasets/tests/test_download_manager.py",
"repo_id": "datasets",
"token_count": 2407
} | 78 |
import os
import pickle
import tempfile
import time
from multiprocessing import Pool
from unittest import TestCase
import pytest
from datasets.features import Features, Sequence, Value
from datasets.metric import Metric, MetricInfo
from .utils import require_tf, require_torch
class DummyMetric(Metric):
def _in... | datasets/tests/test_metric.py/0 | {
"file_path": "datasets/tests/test_metric.py",
"repo_id": "datasets",
"token_count": 10533
} | 79 |
import pytest
from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def mock_emitted_deprecation_warnings(monkeypatch):
monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings", set())
# Used by list_metrics
@pytest.fixture
def mock_hfh(monkeypatch):
cla... | datasets/tests/test_warnings.py/0 | {
"file_path": "datasets/tests/test_warnings.py",
"repo_id": "datasets",
"token_count": 473
} | 80 |
<jupyter_start><jupyter_text>Unit 6: Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖In this notebook, you'll learn to use A2C with [Panda-Gym](https://github.com/qgallouedec/panda-gym). You're going **to train a robotic arm** (Franka Emika Panda robot) to perform a task:- `Reach`: the robot mu... | deep-rl-class/notebooks/unit6/unit6.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit6/unit6.ipynb",
"repo_id": "deep-rl-class",
"token_count": 4384
} | 81 |
# Introduction to Deep Reinforcement Learning [[introduction-to-deep-reinforcement-learning]]
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/thumbnail.jpg" alt="Unit 1 thumbnail" width="100%">
Welcome to the most fascinating topic in Artificial Intelligence: ... | deep-rl-class/units/en/unit1/introduction.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/introduction.mdx",
"repo_id": "deep-rl-class",
"token_count": 477
} | 82 |
# A Q-Learning example [[q-learning-example]]
To better understand Q-Learning, let's take a simple example:
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/Maze-Example-2.jpg" alt="Maze-Example"/>
- You're a mouse in this tiny maze. You always **start at the s... | deep-rl-class/units/en/unit2/q-learning-example.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/q-learning-example.mdx",
"repo_id": "deep-rl-class",
"token_count": 1402
} | 83 |
# The advantages and disadvantages of policy-gradient methods
At this point, you might ask, "but Deep Q-Learning is excellent! Why use policy-gradient methods?". To answer this question, let's study the **advantages and disadvantages of policy-gradient methods**.
## Advantages
There are multiple advantages over valu... | deep-rl-class/units/en/unit4/advantages-disadvantages.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit4/advantages-disadvantages.mdx",
"repo_id": "deep-rl-class",
"token_count": 1184
} | 84 |
# Quiz
The best way to learn and [to avoid the illusion of competence](https://www.coursera.org/lecture/learning-how-to-learn/illusions-of-competence-BuFzf) **is to test yourself.** This will help you to find **where you need to reinforce your knowledge**.
### Q1: Which of the following tools are specifically designe... | deep-rl-class/units/en/unit5/quiz.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/quiz.mdx",
"repo_id": "deep-rl-class",
"token_count": 1539
} | 85 |
# Self-Play: a classic technique to train competitive agents in adversarial games
Now that we've studied the basics of multi-agents, we're ready to go deeper. As mentioned in the introduction, we're going **to train agents in an adversarial game with SoccerTwos, a 2vs2 game**.
<figure>
<img src="https://huggingface.c... | deep-rl-class/units/en/unit7/self-play.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit7/self-play.mdx",
"repo_id": "deep-rl-class",
"token_count": 2245
} | 86 |
# Hands-on [[hands-on]]
Now that you've learned to use Optuna, here are some ideas to apply what you've learned:
1️⃣ **Beat your LunarLander-v2 agent results**, by using Optuna to find a better set of hyperparameters. You can also try with another environment, such as MountainCar-v0 and CartPole-v1.
2️⃣ **Beat your ... | deep-rl-class/units/en/unitbonus2/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus2/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 207
} | 87 |
import argparse
import sys
sys.path.append(".")
from base_classes import ControlNetBenchmark, ControlNetSDXLBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="lllyasviel/sd-controlnet-canny",
... | diffusers/benchmarks/benchmark_controlnet.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_controlnet.py",
"repo_id": "diffusers",
"token_count": 352
} | 88 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/loaders/unet.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/unet.md",
"repo_id": "diffusers",
"token_count": 402
} | 89 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/ddpm.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/ddpm.md",
"repo_id": "diffusers",
"token_count": 572
} | 90 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/pix2pix.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/pix2pix.md",
"repo_id": "diffusers",
"token_count": 707
} | 91 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_diffusion/sdxl_turbo.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/sdxl_turbo.md",
"repo_id": "diffusers",
"token_count": 677
} | 92 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/schedulers/ddim.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/ddim.md",
"repo_id": "diffusers",
"token_count": 1122
} | 93 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/schedulers/multistep_dpm_solver_inverse.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/multistep_dpm_solver_inverse.md",
"repo_id": "diffusers",
"token_count": 547
} | 94 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/quicktour.md/0 | {
"file_path": "diffusers/docs/source/en/quicktour.md",
"repo_id": "diffusers",
"token_count": 4836
} | 95 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/training/text2image.md/0 | {
"file_path": "diffusers/docs/source/en/training/text2image.md",
"repo_id": "diffusers",
"token_count": 4032
} | 96 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/custom_pipeline_overview.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/custom_pipeline_overview.md",
"repo_id": "diffusers",
"token_count": 3520
} | 97 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/other-formats.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/other-formats.md",
"repo_id": "diffusers",
"token_count": 2824
} | 98 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/weighted_prompts.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/weighted_prompts.md",
"repo_id": "diffusers",
"token_count": 4105
} | 99 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/optimization/habana.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/habana.md",
"repo_id": "diffusers",
"token_count": 1911
} | 100 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/instructpix2pix.md/0 | {
"file_path": "diffusers/docs/source/ko/training/instructpix2pix.md",
"repo_id": "diffusers",
"token_count": 5652
} | 101 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/inpaint.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/inpaint.md",
"repo_id": "diffusers",
"token_count": 1656
} | 102 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/pt/installation.md/0 | {
"file_path": "diffusers/docs/source/pt/installation.md",
"repo_id": "diffusers",
"token_count": 2101
} | 103 |
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": 4362
} | 104 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/pipeline_animatediff_img2video.py/0 | {
"file_path": "diffusers/examples/community/pipeline_animatediff_img2video.py",
"repo_id": "diffusers",
"token_count": 20576
} | 105 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/rerender_a_video.py/0 | {
"file_path": "diffusers/examples/community/rerender_a_video.py",
"repo_id": "diffusers",
"token_count": 27079
} | 106 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/stable_diffusion_repaint.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_repaint.py",
"repo_id": "diffusers",
"token_count": 19597
} | 107 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 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
} | 108 |
# Copyright 2024 Custom Diffusion authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | diffusers/examples/custom_diffusion/retrieve.py/0 | {
"file_path": "diffusers/examples/custom_diffusion/retrieve.py",
"repo_id": "diffusers",
"token_count": 1429
} | 109 |
import warnings
from diffusers import StableDiffusionImg2ImgPipeline # noqa F401
warnings.warn(
"The `image_to_image.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionImg2ImgPipeline` instead."
)
| diffusers/examples/inference/image_to_image.py/0 | {
"file_path": "diffusers/examples/inference/image_to_image.py",
"repo_id": "diffusers",
"token_count": 84
} | 110 |
# Research projects
This folder contains various research projects using 🧨 Diffusers.
They are not really maintained by the core maintainers of this library and often require a specific version of Diffusers that is indicated in the requirements file of each folder.
Updating them to the most recent version of the libr... | diffusers/examples/research_projects/README.md/0 | {
"file_path": "diffusers/examples/research_projects/README.md",
"repo_id": "diffusers",
"token_count": 143
} | 111 |
# Diffusion Model Alignment Using Direct Preference Optimization
This directory provides LoRA implementations of Diffusion DPO proposed in [DiffusionModel Alignment Using Direct Preference Optimization](https://arxiv.org/abs/2311.12908) by Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Puru... | diffusers/examples/research_projects/diffusion_dpo/README.md/0 | {
"file_path": "diffusers/examples/research_projects/diffusion_dpo/README.md",
"repo_id": "diffusers",
"token_count": 1251
} | 112 |
## Textual Inversion fine-tuning example
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable diffusion... | diffusers/examples/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
} | 113 |
## [Deprecated] Multi Token Textual Inversion
**IMPORTART: This research project is deprecated. Multi Token Textual Inversion is now supported natively in [the official textual inversion example](https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion#running-locally-with-pytorch).**
The author ... | diffusers/examples/research_projects/multi_token_textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/research_projects/multi_token_textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1842
} | 114 |
# PromptDiffusion Pipeline
From the project [page](https://zhendong-wang.github.io/prompt-diffusion.github.io/)
"With a prompt consisting of a task-specific example pair of images and text guidance, and a new query image, Prompt Diffusion can comprehend the desired task and generate the corresponding output image on ... | diffusers/examples/research_projects/promptdiffusion/README.md/0 | {
"file_path": "diffusers/examples/research_projects/promptdiffusion/README.md",
"repo_id": "diffusers",
"token_count": 829
} | 115 |
## Textual Inversion fine-tuning example
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable diffusion... | diffusers/examples/textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1736
} | 116 |
# Script for converting a Hugging Face Diffusers trained SDXL LoRAs to Kohya format
# This means that you can input your diffusers-trained LoRAs and
# Get the output to work with WebUIs such as AUTOMATIC1111, ComfyUI, SD.Next and others.
# To get started you can find some cool `diffusers` trained LoRAs such as this cu... | diffusers/scripts/convert_diffusers_sdxl_lora_to_webui.py/0 | {
"file_path": "diffusers/scripts/convert_diffusers_sdxl_lora_to_webui.py",
"repo_id": "diffusers",
"token_count": 1027
} | 117 |
# coding=utf-8
# Copyright 2024 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_ncsnpp_original_checkpoint_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3608
} | 118 |
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to... | diffusers/scripts/convert_unclip_txt2img_to_image_variation.py/0 | {
"file_path": "diffusers/scripts/convert_unclip_txt2img_to_image_variation.py",
"repo_id": "diffusers",
"token_count": 554
} | 119 |
# coding=utf-8
# Copyright 2024 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": 13540
} | 120 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/src/diffusers/loaders/single_file_utils.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/single_file_utils.py",
"repo_id": "diffusers",
"token_count": 30305
} | 121 |
# Copyright 2024 Ollin Boer Bohan 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_tiny.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_tiny.py",
"repo_id": "diffusers",
"token_count": 6580
} | 122 |
from ..utils import deprecate
from .transformers.prior_transformer import PriorTransformer, PriorTransformerOutput
class PriorTransformerOutput(PriorTransformerOutput):
deprecation_message = "Importing `PriorTransformerOutput` from `diffusers.models.prior_transformer` is deprecated and this will be removed in a f... | diffusers/src/diffusers/models/prior_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/prior_transformer.py",
"repo_id": "diffusers",
"token_count": 235
} | 123 |
# coding=utf-8
# Copyright 2024 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/models/unets/uvit_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/uvit_2d.py",
"repo_id": "diffusers",
"token_count": 8290
} | 124 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/audioldm/pipeline_audioldm.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm/pipeline_audioldm.py",
"repo_id": "diffusers",
"token_count": 11533
} | 125 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/pipeline_audio_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/pipeline_audio_diffusion.py",
"repo_id": "diffusers",
"token_count": 6240
} | 126 |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTokenizer
from ....configuration_utils import FrozenDict
from ....schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
from ....utils impo... | diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py",
"repo_id": "diffusers",
"token_count": 12042
} | 127 |
# Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
# William Peebles and Saining Xie
#
# Copyright (c) 2021 OpenAI
# MIT License
#
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance wi... | diffusers/src/diffusers/pipelines/dit/pipeline_dit.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/dit/pipeline_dit.py",
"repo_id": "diffusers",
"token_count": 4179
} | 128 |
# 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/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion_xl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion_xl.py",
"repo_id": "diffusers",
"token_count": 41574
} | 129 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class SemanticStableDiffusionPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Image... | diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/semantic_stable_diffusion/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 306
} | 130 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py",
"repo_id": "diffusers",
"token_count": 9901
} | 131 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 17229
} | 132 |
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPT2Config, GPT2LMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
# Modified from ClipCapti... | diffusers/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py",
"repo_id": "diffusers",
"token_count": 6304
} | 133 |
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