text stringlengths 7 328k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 459 |
|---|---|---|---|
cargo build --target wasm32-unknown-unknown --release
wasm-bindgen ../../target/wasm32-unknown-unknown/release/m.wasm --out-dir build --target web
wasm-bindgen ../../target/wasm32-unknown-unknown/release/m-quantized.wasm --out-dir build --target web
| candle/candle-wasm-examples/t5/build-lib.sh/0 | {
"file_path": "candle/candle-wasm-examples/t5/build-lib.sh",
"repo_id": "candle",
"token_count": 84
} | 38 |
use yew_agent::PublicWorker;
fn main() {
candle_wasm_example_whisper::Worker::register();
}
| candle/candle-wasm-examples/whisper/src/bin/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/bin/worker.rs",
"repo_id": "candle",
"token_count": 38
} | 39 |
use candle::{DType, IndexOp, Result, Tensor, D};
use candle_nn::{
batch_norm, conv2d, conv2d_no_bias, BatchNorm, Conv2d, Conv2dConfig, Module, VarBuilder,
};
use image::DynamicImage;
// Model architecture from https://github.com/ultralytics/ultralytics/issues/189
// https://github.com/tinygrad/tinygrad/blob/master... | candle/candle-wasm-examples/yolo/src/model.rs/0 | {
"file_path": "candle/candle-wasm-examples/yolo/src/model.rs",
"repo_id": "candle",
"token_count": 14731
} | 40 |
{
"useTabs": true,
"trailingComma": "es5",
"printWidth": 100,
"plugins": ["prettier-plugin-svelte", "prettier-plugin-tailwindcss"],
"pluginSearchDirs": ["."],
"overrides": [{ "files": "*.svelte", "options": { "parser": "svelte" } }]
}
| chat-ui/.prettierrc/0 | {
"file_path": "chat-ui/.prettierrc",
"repo_id": "chat-ui",
"token_count": 104
} | 41 |
/// <reference types="@sveltejs/kit" />
/// <reference types="unplugin-icons/types/svelte" />
import type { User } from "$lib/types/User";
// See https://kit.svelte.dev/docs/types#app
// for information about these interfaces
declare global {
namespace App {
// interface Error {}
interface Locals {
sessionId:... | chat-ui/src/app.d.ts/0 | {
"file_path": "chat-ui/src/app.d.ts",
"repo_id": "chat-ui",
"token_count": 145
} | 42 |
<script lang="ts">
import CarbonEarth from "~icons/carbon/earth";
import CarbonArrowUpRight from "~icons/carbon/arrow-up-right";
import type { Model } from "$lib/types/Model";
export let model: Pick<Model, "name" | "datasetName" | "websiteUrl" | "modelUrl" | "datasetUrl">;
export let variant: "light" | "dark" = ... | chat-ui/src/lib/components/ModelCardMetadata.svelte/0 | {
"file_path": "chat-ui/src/lib/components/ModelCardMetadata.svelte",
"repo_id": "chat-ui",
"token_count": 623
} | 43 |
<script lang="ts">
import { createEventDispatcher } from "svelte";
import IconGear from "~icons/bi/gear-fill";
import { base } from "$app/paths";
import type { Assistant } from "$lib/types/Assistant";
import IconInternet from "../icons/IconInternet.svelte";
export let assistant: Pick<
Assistant,
| "avatar"
... | chat-ui/src/lib/components/chat/AssistantIntroduction.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/AssistantIntroduction.svelte",
"repo_id": "chat-ui",
"token_count": 1629
} | 44 |
import { afterEach, describe, expect, it } from "vitest";
import { migrations } from "./routines";
import { acquireLock, isDBLocked, refreshLock, releaseLock } from "./lock";
import { collections } from "$lib/server/database";
describe("migrations", () => {
it("should not have duplicates guid", async () => {
const ... | chat-ui/src/lib/migrations/migrations.spec.ts/0 | {
"file_path": "chat-ui/src/lib/migrations/migrations.spec.ts",
"repo_id": "chat-ui",
"token_count": 597
} | 45 |
import { buildPrompt } from "$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": 1123
} | 46 |
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
} | 47 |
export interface ConvSidebar {
id: string;
title: string;
updatedAt: Date;
model?: string;
assistantId?: string;
avatarHash?: string;
}
| chat-ui/src/lib/types/ConvSidebar.ts/0 | {
"file_path": "chat-ui/src/lib/types/ConvSidebar.ts",
"repo_id": "chat-ui",
"token_count": 50
} | 48 |
import type { ObjectId } from "mongodb";
import type { Timestamps } from "./Timestamps";
export interface User extends Timestamps {
_id: ObjectId;
username?: string;
name: string;
email?: string;
avatarUrl: string | undefined;
hfUserId: string;
}
| chat-ui/src/lib/types/User.ts/0 | {
"file_path": "chat-ui/src/lib/types/User.ts",
"repo_id": "chat-ui",
"token_count": 85
} | 49 |
import type { Model } from "$lib/types/Model";
export const findCurrentModel = (models: Model[], id?: string): Model =>
models.find((m) => m.id === id) ?? models[0];
| chat-ui/src/lib/utils/models.ts/0 | {
"file_path": "chat-ui/src/lib/utils/models.ts",
"repo_id": "chat-ui",
"token_count": 54
} | 50 |
import { collections } from "$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
} | 51 |
<script lang="ts">
import { base } from "$app/paths";
import { clickOutside } from "$lib/actions/clickOutside";
import { afterNavigate, goto } from "$app/navigation";
import { useSettingsStore } from "$lib/stores/settings";
import type { PageData } from "./$types";
import { applyAction, enhance } from "$app/form... | chat-ui/src/routes/assistant/[assistantId]/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/assistant/[assistantId]/+page.svelte",
"repo_id": "chat-ui",
"token_count": 1821
} | 52 |
import { redirect, error } from "@sveltejs/kit";
import { getOIDCUserData, validateAndParseCsrfToken } from "$lib/server/auth";
import { z } from "zod";
import { base } from "$app/paths";
import { updateUser } from "./updateUser";
import { ALLOWED_USER_EMAILS } from "$env/static/private";
import JSON5 from "json5";
co... | chat-ui/src/routes/login/callback/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/login/callback/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 671
} | 53 |
import { collections } from "$lib/server/database";
import { type Actions, fail, redirect } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { authCondition } from "$lib/server/auth";
import { base } from "$app/paths";
import { PUBLIC_ORIGIN, PUBLIC_SHARE_PREFIX } from "$env/static/public";
import { WEB... | chat-ui/src/routes/settings/(nav)/assistants/[assistantId]/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/assistants/[assistantId]/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 1828
} | 54 |
{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"mark": "rect",
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "nominal",
"sort": "ascending",
... | datasets/.dvc/plots/confusion.json/0 | {
"file_path": "datasets/.dvc/plots/confusion.json",
"repo_id": "datasets",
"token_count": 450
} | 55 |
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "huggingface/datasets"
authors:
- family-names: Lhoest
given-names: Quentin
- family-names: Villanova del Moral
given-names: Albert
orcid: "https://orcid.org/0000-0003-1727-1045"
- family-names: von Platen
given-names: Patri... | datasets/CITATION.cff/0 | {
"file_path": "datasets/CITATION.cff",
"repo_id": "datasets",
"token_count": 1428
} | 56 |
# Know your dataset
There are two types of dataset objects, a regular [`Dataset`] and then an ✨ [`IterableDataset`] ✨. A [`Dataset`] provides fast random access to the rows, and memory-mapping so that loading even large datasets only uses a relatively small amount of device memory. But for really, really big datasets ... | datasets/docs/source/access.mdx/0 | {
"file_path": "datasets/docs/source/access.mdx",
"repo_id": "datasets",
"token_count": 2274
} | 57 |
# Load image data
Image datasets have [`Image`] type columns, which contain PIL objects.
<Tip>
To work with image datasets, you need to have the `vision` dependency installed. Check out the [installation](./installation#vision) guide to learn how to install it.
</Tip>
When you load an image dataset and call the i... | datasets/docs/source/image_load.mdx/0 | {
"file_path": "datasets/docs/source/image_load.mdx",
"repo_id": "datasets",
"token_count": 1388
} | 58 |
# Task templates
<Tip warning={true}>
The Task API is deprecated in favor of [`train-eval-index`](https://github.com/huggingface/hub-docs/blob/9ab2555e1c146122056aba6f89af404a8bc9a6f1/datasetcard.md?plain=1#L90-L106) and will be removed in the next major release.
</Tip>
The tasks supported by [`Dataset.prepare_for_... | datasets/docs/source/package_reference/task_templates.mdx/0 | {
"file_path": "datasets/docs/source/package_reference/task_templates.mdx",
"repo_id": "datasets",
"token_count": 277
} | 59 |
# Using Datasets with TensorFlow
This document is a quick introduction to using `datasets` with TensorFlow, with a particular focus on how to get
`tf.Tensor` objects out of our datasets, and how to stream data from Hugging Face `Dataset` objects to Keras methods
like `model.fit()`.
## Dataset format
By default, data... | datasets/docs/source/use_with_tensorflow.mdx/0 | {
"file_path": "datasets/docs/source/use_with_tensorflow.mdx",
"repo_id": "datasets",
"token_count": 3671
} | 60 |
# 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/code_eval/execute.py/0 | {
"file_path": "datasets/metrics/code_eval/execute.py",
"repo_id": "datasets",
"token_count": 2368
} | 61 |
# Metric Card for GLUE
## Metric description
This metric is used to compute the GLUE evaluation metric associated to each [GLUE dataset](https://huggingface.co/datasets/glue).
GLUE, the General Language Understanding Evaluation benchmark is a collection of resources for training, evaluating, and analyzing natural la... | datasets/metrics/glue/README.md/0 | {
"file_path": "datasets/metrics/glue/README.md",
"repo_id": "datasets",
"token_count": 1659
} | 62 |
# Metric Card for METEOR
## Metric description
METEOR (Metric for Evaluation of Translation with Explicit ORdering) is a machine translation evaluation metric, which is calculated based on the harmonic mean of precision and recall, with recall weighted more than precision.
METEOR is based on a generalized concept o... | datasets/metrics/meteor/README.md/0 | {
"file_path": "datasets/metrics/meteor/README.md",
"repo_id": "datasets",
"token_count": 1340
} | 63 |
# Metric Card for SacreBLEU
## Metric Description
SacreBLEU provides hassle-free computation of shareable, comparable, and reproducible BLEU scores. Inspired by Rico Sennrich's `multi-bleu-detok.perl`, it produces the official Workshop on Machine Translation (WMT) scores but works with plain text. It also knows all t... | datasets/metrics/sacrebleu/README.md/0 | {
"file_path": "datasets/metrics/sacrebleu/README.md",
"repo_id": "datasets",
"token_count": 1692
} | 64 |
# Copyright 2020 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/super_glue/super_glue.py/0 | {
"file_path": "datasets/metrics/super_glue/super_glue.py",
"repo_id": "datasets",
"token_count": 4296
} | 65 |
__all__ = [
"DownloadConfig",
"DownloadManager",
"DownloadMode",
"StreamingDownloadManager",
]
from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager
| datasets/src/datasets/download/__init__.py/0 | {
"file_path": "datasets/src/datasets/download/__init__.py",
"repo_id": "datasets",
"token_count": 77
} | 66 |
# Copyright 2020 The HuggingFace Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | datasets/src/datasets/formatting/formatting.py/0 | {
"file_path": "datasets/src/datasets/formatting/formatting.py",
"repo_id": "datasets",
"token_count": 10729
} | 67 |
from typing import Optional
from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader
class TextDatasetReader(AbstractDatasetReader):
def __init__(
self,
path_or_paths: Nest... | datasets/src/datasets/io/text.py/0 | {
"file_path": "datasets/src/datasets/io/text.py",
"repo_id": "datasets",
"token_count": 961
} | 68 |
import collections
import itertools
import os
from dataclasses import dataclass
from typing import List, Optional, Tuple, Type
import pandas as pd
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.features.features import FeatureType
from datasets.tasks.base import TaskTemplate
logger = ... | datasets/src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py",
"repo_id": "datasets",
"token_count": 11960
} | 69 |
import itertools
import warnings
from dataclasses import InitVar, dataclass
from io import StringIO
from typing import Optional
import pyarrow as pa
import datasets
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
logger = datasets.utils.logging.get_logger(__name__)
... | datasets/src/datasets/packaged_modules/text/text.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/text/text.py",
"repo_id": "datasets",
"token_count": 3042
} | 70 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Sequence, Value
from .base import TaskTemplate
@dataclass(frozen=True)
class QuestionAnsweringExtractive(TaskTemplate):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | datasets/src/datasets/tasks/question_answering.py/0 | {
"file_path": "datasets/src/datasets/tasks/question_answering.py",
"repo_id": "datasets",
"token_count": 437
} | 71 |
import enum
import os
from typing import Optional
from huggingface_hub.utils import insecure_hashlib
from .. import config
from .logging import get_logger
logger = get_logger(__name__)
class VerificationMode(enum.Enum):
"""`Enum` that specifies which verification checks to run.
The default mode is `BASIC... | datasets/src/datasets/utils/info_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/info_utils.py",
"repo_id": "datasets",
"token_count": 1893
} | 72 |
from collections.abc import Iterator
from typing import Iterable
class tracked_str(str):
origins = {}
def set_origin(self, origin: str):
if super().__repr__() not in self.origins:
self.origins[super().__repr__()] = origin
def get_origin(self):
return self.origins.get(super().... | datasets/src/datasets/utils/track.py/0 | {
"file_path": "datasets/src/datasets/utils/track.py",
"repo_id": "datasets",
"token_count": 648
} | 73 |
import textwrap
import pyarrow as pa
import pytest
from datasets import Features, Image
from datasets.packaged_modules.text.text import Text
from ..utils import require_pil
@pytest.fixture
def text_file(tmp_path):
filename = tmp_path / "text.txt"
data = textwrap.dedent(
"""\
Lorem ipsum dol... | datasets/tests/packaged_modules/test_text.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_text.py",
"repo_id": "datasets",
"token_count": 1289
} | 74 |
import importlib
import os
import fsspec
import pytest
from fsspec import register_implementation
from fsspec.core import url_to_fs
from fsspec.registry import _registry as _fsspec_registry
from datasets.filesystems import COMPRESSION_FILESYSTEMS, extract_path_from_uri, is_remote_filesystem
from .utils import requir... | datasets/tests/test_filesystem.py/0 | {
"file_path": "datasets/tests/test_filesystem.py",
"repo_id": "datasets",
"token_count": 1303
} | 75 |
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
iflatmap_unordered,
map_nested,
temp_... | datasets/tests/test_py_utils.py/0 | {
"file_path": "datasets/tests/test_py_utils.py",
"repo_id": "datasets",
"token_count": 4821
} | 76 |
# Congratulations
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/communication/thumbnail.png" alt="Thumbnail"/>
**Congratulations on finishing this course!** With perseverance, hard work, and determination, **you've acquired a solid background in Deep Reinforcement... | deep-rl-class/units/en/communication/conclusion.mdx/0 | {
"file_path": "deep-rl-class/units/en/communication/conclusion.mdx",
"repo_id": "deep-rl-class",
"token_count": 364
} | 77 |
# Two main approaches for solving RL problems [[two-methods]]
<Tip>
Now that we learned the RL framework, how do we solve the RL problem?
</Tip>
In other words, how do we build an RL agent that can **select the actions that maximize its expected cumulative reward?**
## The Policy π: the agent’s brain [[policy]]
The... | deep-rl-class/units/en/unit1/two-methods.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/two-methods.mdx",
"repo_id": "deep-rl-class",
"token_count": 1565
} | 78 |
# What is RL? A short recap [[what-is-rl]]
In RL, we build an agent that can **make smart decisions**. For instance, an agent that **learns to play a video game.** Or a trading agent that **learns to maximize its benefits** by deciding on **what stocks to buy and when to sell.**
<img src="https://huggingface.co/datas... | deep-rl-class/units/en/unit2/what-is-rl.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/what-is-rl.mdx",
"repo_id": "deep-rl-class",
"token_count": 525
} | 79 |
# (Optional) the Policy Gradient Theorem
In this optional section where we're **going to study how we differentiate the objective function that we will use to approximate the policy gradient**.
Let's first recap our different formulas:
1. The Objective function
<img src="https://huggingface.co/datasets/huggingface-... | deep-rl-class/units/en/unit4/pg-theorem.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit4/pg-theorem.mdx",
"repo_id": "deep-rl-class",
"token_count": 1854
} | 80 |
# Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖 [[hands-on]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/notebooks/unit6/unit6.ip... | deep-rl-class/units/en/unit6/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit6/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 4616
} | 81 |
# Interesting Environments to try
Here we provide a list of interesting environments you can try to train your agents on:
## DIAMBRA Arena
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit12/diambraarena.png" alt="diambraArena"/>
DIAMBRA Arena is a software pac... | deep-rl-class/units/en/unitbonus3/envs-to-try.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/envs-to-try.mdx",
"repo_id": "deep-rl-class",
"token_count": 1642
} | 82 |
import argparse
import sys
sys.path.append(".")
from base_classes import LCMLoRATextToImageBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="stabilityai/stable-diffusion-xl-base-1.0",
)
pars... | diffusers/benchmarks/benchmark_t2i_lcm_lora.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_t2i_lcm_lora.py",
"repo_id": "diffusers",
"token_count": 273
} | 83 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: Quicktour
- local: stable_diffusion
title: Effective and efficient diffusion
- local: installation
title: Installation
title: Get started
- sections:
- local: tutorials/tutorial_overview
title: Overview
- local: u... | diffusers/docs/source/en/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/en/_toctree.yml",
"repo_id": "diffusers",
"token_count": 6273
} | 84 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/models/consistency_decoder_vae.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/consistency_decoder_vae.md",
"repo_id": "diffusers",
"token_count": 383
} | 85 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | diffusers/docs/source/en/api/pipelines/kandinsky.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/kandinsky.md",
"repo_id": "diffusers",
"token_count": 850
} | 86 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_cascade.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_cascade.md",
"repo_id": "diffusers",
"token_count": 2836
} | 87 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/optimization/deepcache.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/deepcache.md",
"repo_id": "diffusers",
"token_count": 1912
} | 88 |
<!--Copyright 2024 Custom Diffusion authors The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by... | diffusers/docs/source/en/training/custom_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/training/custom_diffusion.md",
"repo_id": "diffusers",
"token_count": 5470
} | 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/tutorials/basic_training.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/basic_training.md",
"repo_id": "diffusers",
"token_count": 6186
} | 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/using-diffusers/img2img.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/img2img.md",
"repo_id": "diffusers",
"token_count": 9649
} | 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/using-diffusers/reusing_seeds.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/reusing_seeds.md",
"repo_id": "diffusers",
"token_count": 1099
} | 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/ja/quicktour.md/0 | {
"file_path": "diffusers/docs/source/ja/quicktour.md",
"repo_id": "diffusers",
"token_count": 7835
} | 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/ko/optimization/tome.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/tome.md",
"repo_id": "diffusers",
"token_count": 4366
} | 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/ko/training/unconditional_training.md/0 | {
"file_path": "diffusers/docs/source/ko/training/unconditional_training.md",
"repo_id": "diffusers",
"token_count": 3095
} | 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/ko/using-diffusers/reproducibility.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/reproducibility.md",
"repo_id": "diffusers",
"token_count": 6163
} | 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/zh/quicktour.md/0 | {
"file_path": "diffusers/docs/source/zh/quicktour.md",
"repo_id": "diffusers",
"token_count": 8423
} | 97 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/ddim_noise_comparative_analysis.py/0 | {
"file_path": "diffusers/examples/community/ddim_noise_comparative_analysis.py",
"repo_id": "diffusers",
"token_count": 3417
} | 98 |
## ----------------------------------------------------------
# A SDXL pipeline can take unlimited weighted prompt
#
# Author: Andrew Zhu
# Github: https://github.com/xhinker
# Medium: https://medium.com/@xhinker
## -----------------------------------------------------------
import inspect
import os
from typing import... | diffusers/examples/community/lpw_stable_diffusion_xl.py/0 | {
"file_path": "diffusers/examples/community/lpw_stable_diffusion_xl.py",
"repo_id": "diffusers",
"token_count": 47271
} | 99 |
# Copyright 2024 TencentARC and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py",
"repo_id": "diffusers",
"token_count": 32940
} | 100 |
import inspect
import os
import random
import re
from dataclasses import dataclass
from typing import Callable, Dict, List, Optional, Union
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers.configuration_utils import FrozenDict
from diffusers.models import Autoencod... | diffusers/examples/community/wildcard_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/wildcard_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 9011
} | 101 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/controlnet/test_controlnet.py/0 | {
"file_path": "diffusers/examples/controlnet/test_controlnet.py",
"repo_id": "diffusers",
"token_count": 2010
} | 102 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/examples/dreambooth/test_dreambooth_lora_edm.py/0 | {
"file_path": "diffusers/examples/dreambooth/test_dreambooth_lora_edm.py",
"repo_id": "diffusers",
"token_count": 1864
} | 103 |
#!/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/kandinsky2_2/text_to_image/train_text_to_image_decoder.py/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py",
"repo_id": "diffusers",
"token_count": 16368
} | 104 |
## Diffusers examples with Intel optimizations
**This research project is not actively maintained by the diffusers team. For any questions or comments, please make sure to tag @hshen14 .**
This aims to provide diffusers examples with Intel optimizations such as Bfloat16 for training/fine-tuning acceleration and 8-bit... | diffusers/examples/research_projects/intel_opts/README.md/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/README.md",
"repo_id": "diffusers",
"token_count": 528
} | 105 |
#!/usr/bin/env python3
import argparse
import math
import os
from copy import deepcopy
import requests
import torch
from audio_diffusion.models import DiffusionAttnUnet1D
from diffusion import sampling
from torch import nn
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
MODELS_MAP = {
... | diffusers/scripts/convert_dance_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dance_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 4637
} | 106 |
from diffusers.utils import is_accelerate_available, logging
if is_accelerate_available():
pass
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
def create_unet_diffusers_config(original_config, image_size: int, controlnet=False):
"""
Creates a config for the diffusers based on the... | diffusers/scripts/convert_svd_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_svd_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 14781
} | 107 |
# 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/commands/env.py/0 | {
"file_path": "diffusers/src/diffusers/commands/env.py",
"repo_id": "diffusers",
"token_count": 1069
} | 108 |
# 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/peft.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/peft.py",
"repo_id": "diffusers",
"token_count": 3289
} | 109 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl_temporal_decoder.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_temporal_decoder.py",
"repo_id": "diffusers",
"token_count": 7179
} | 110 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/src/diffusers/models/normalization.py/0 | {
"file_path": "diffusers/src/diffusers/models/normalization.py",
"repo_id": "diffusers",
"token_count": 4029
} | 111 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/unet_2d_blocks.py/0 | {
"file_path": "diffusers/src/diffusers/models/unet_2d_blocks.py",
"repo_id": "diffusers",
"token_count": 7248
} | 112 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/unets/unet_stable_cascade.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_stable_cascade.py",
"repo_id": "diffusers",
"token_count": 14708
} | 113 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/audioldm/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm/__init__.py",
"repo_id": "diffusers",
"token_count": 581
} | 114 |
# Copyright 2024 Salesforce.com, inc.
# 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/LICENS... | diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py",
"repo_id": "diffusers",
"token_count": 7632
} | 115 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/mel.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/mel.py",
"repo_id": "diffusers",
"token_count": 2698
} | 116 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_dit": ["DiTPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_dit import DiTPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/dit/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/dit/__init__.py",
"repo_id": "diffusers",
"token_count": 177
} | 117 |
import inspect
import math
from itertools import repeat
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from packaging import version
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDic... | diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 35679
} | 118 |
# 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.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py",
"repo_id": "diffusers",
"token_count": 19691
} | 119 |
import numpy as np
import torch
from ...utils import is_invisible_watermark_available
if is_invisible_watermark_available():
from imwatermark import WatermarkEncoder
# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L... | diffusers/src/diffusers/pipelines/stable_diffusion_xl/watermark.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/watermark.py",
"repo_id": "diffusers",
"token_count": 509
} | 120 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | diffusers/src/diffusers/pipelines/unidiffuser/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/__init__.py",
"repo_id": "diffusers",
"token_count": 733
} | 121 |
# Copyright 2024 NVIDIA 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 required b... | diffusers/src/diffusers/schedulers/deprecated/scheduling_karras_ve.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/scheduling_karras_ve.py",
"repo_id": "diffusers",
"token_count": 4089
} | 122 |
# Copyright 2024 Zhejiang University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers/src/diffusers/schedulers/scheduling_pndm.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_pndm.py",
"repo_id": "diffusers",
"token_count": 9457
} | 123 |
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True, stacklevel=2):
from .. import __version__
deprecated_kwargs = take_from
values = ()
if not isinstance(args... | diffusers/src/diffusers/utils/deprecation_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/deprecation_utils.py",
"repo_id": "diffusers",
"token_count": 793
} | 124 |
# 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/utils/hub_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/hub_utils.py",
"repo_id": "diffusers",
"token_count": 9131
} | 125 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/audioldm2/test_audioldm2.py/0 | {
"file_path": "diffusers/tests/pipelines/audioldm2/test_audioldm2.py",
"repo_id": "diffusers",
"token_count": 10088
} | 126 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/kandinsky3/test_kandinsky3.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky3/test_kandinsky3.py",
"repo_id": "diffusers",
"token_count": 3516
} | 127 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 6720
} | 128 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_latent_upscale.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_latent_upscale.py",
"repo_id": "diffusers",
"token_count": 5008
} | 129 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_panorama/test_stable_diffusion_panorama.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_panorama/test_stable_diffusion_panorama.py",
"repo_id": "diffusers",
"token_count": 7594
} | 130 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
import diffusers
from diffusers import (
AutoencoderKLTemporalDecoder,
EulerDiscreteScheduler,
StableVideoDi... | diffusers/tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py",
"repo_id": "diffusers",
"token_count": 9657
} | 131 |
import torch
from diffusers import DPMSolverSDEScheduler
from diffusers.utils.testing_utils import require_torchsde, torch_device
from .test_schedulers import SchedulerCommonTest
@require_torchsde
class DPMSolverSDESchedulerTest(SchedulerCommonTest):
scheduler_classes = (DPMSolverSDEScheduler,)
num_inferenc... | diffusers/tests/schedulers/test_scheduler_dpm_sde.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_dpm_sde.py",
"repo_id": "diffusers",
"token_count": 3050
} | 132 |
import torch
from diffusers import TCDScheduler
from .test_schedulers import SchedulerCommonTest
class TCDSchedulerTest(SchedulerCommonTest):
scheduler_classes = (TCDScheduler,)
forward_default_kwargs = (("num_inference_steps", 10),)
def get_scheduler_config(self, **kwargs):
config = {
... | diffusers/tests/schedulers/test_scheduler_tcd.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_tcd.py",
"repo_id": "diffusers",
"token_count": 3098
} | 133 |
# coding=utf-8
# 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 requir... | diffusers/utils/notify_slack_about_release.py/0 | {
"file_path": "diffusers/utils/notify_slack_about_release.py",
"repo_id": "diffusers",
"token_count": 952
} | 134 |
# Introduction to 🤗 Diffusers
<CourseFloatingBanner unit={1}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Introduction to Diffusers", value: "https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/units/en/unit1/introduction_to_diffusers.ipynb"},
{label: "I... | diffusion-models-class/units/en/unit1/2.mdx/0 | {
"file_path": "diffusion-models-class/units/en/unit1/2.mdx",
"repo_id": "diffusion-models-class",
"token_count": 8144
} | 135 |
<jupyter_start><jupyter_text>Hackathon DreamBooth 🏆 Bienvenue au Hackathon DreamBooth ! Dans cette compétition, vous allez **personnaliser un modèle de Stable Diffusion en le *finetunant* sur une poignée de vos propres images**. Pour cela, nous allons utiliser une technique appelée [_DreamBooth_](https://arxiv.org/abs... | diffusion-models-class/units/fr/events/dreambooth.ipynb/0 | {
"file_path": "diffusion-models-class/units/fr/events/dreambooth.ipynb",
"repo_id": "diffusion-models-class",
"token_count": 11430
} | 136 |
<jupyter_start><jupyter_text>Traduction (TensorFlow) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!apt install git-lfs<jupyter_output>Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab... | notebooks/course/fr/chapter7/section4_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section4_tf.ipynb",
"repo_id": "notebooks",
"token_count": 3062
} | 137 |
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