text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
use std::collections::HashMap;
use crate::utils::wrap_err;
use crate::{PyDType, PyTensor};
use candle_onnx::eval::{dtype, get_tensor, simple_eval};
use candle_onnx::onnx::tensor_proto::DataType;
use candle_onnx::onnx::tensor_shape_proto::dimension::Value;
use candle_onnx::onnx::type_proto::{Tensor as ONNXTensor, Value... | candle/candle-pyo3/src/onnx.rs/0 | {
"file_path": "candle/candle-pyo3/src/onnx.rs",
"repo_id": "candle",
"token_count": 3266
} | 31 |
pub mod generation;
pub mod models;
pub mod object_detection;
pub mod pipelines;
pub mod quantized_nn;
pub mod quantized_var_builder;
pub mod utils;
| candle/candle-transformers/src/lib.rs/0 | {
"file_path": "candle/candle-transformers/src/lib.rs",
"repo_id": "candle",
"token_count": 47
} | 32 |
//! RepVGG inference implementation
//!
//! See "RepVGG: Making VGG-style ConvNets Great Again" Ding et al. 2021
//! https://arxiv.org/abs/2101.03697
use candle::{Result, Tensor, D};
use candle_nn::{
batch_norm, conv2d_no_bias, linear, BatchNorm, Conv2d, Conv2dConfig, Func, VarBuilder,
};
const CHANNELS_PER_STAGE... | candle/candle-transformers/src/models/repvgg.rs/0 | {
"file_path": "candle/candle-transformers/src/models/repvgg.rs",
"repo_id": "candle",
"token_count": 4371
} | 33 |
//! ResNet Building Blocks
//!
//! Some Residual Network blocks used in UNet models.
//!
//! Denoising Diffusion Implicit Models, K. He and al, 2015.
//! https://arxiv.org/abs/1512.03385
use crate::models::with_tracing::{conv2d, Conv2d};
use candle::{Result, Tensor, D};
use candle_nn as nn;
use candle_nn::Module;
/// ... | candle/candle-transformers/src/models/stable_diffusion/resnet.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/resnet.rs",
"repo_id": "candle",
"token_count": 2284
} | 34 |
use candle::{Module, Result, Tensor};
use candle_nn::{linear, Linear, VarBuilder};
// A simplified version of:
// https://github.com/huggingface/diffusers/blob/119ad2c3dc8a8fb8446a83f4bf6f20929487b47f/src/diffusers/models/attention_processor.py#L38
#[derive(Debug)]
pub struct Attention {
to_q: Linear,
to_k: Li... | candle/candle-transformers/src/models/wuerstchen/attention_processor.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/attention_processor.rs",
"repo_id": "candle",
"token_count": 2076
} | 35 |
## Running [llama2.c](https://github.com/karpathy/llama2.c) Examples
Here, we provide two examples of how to run [llama2.c](https://github.com/karpathy/llama2.c) written in Rust using a Candle-compiled WASM binary and runtimes.
### Pure Rust UI
To build and test the UI made in Rust you will need [Trunk](https://trun... | candle/candle-wasm-examples/llama2-c/README.md/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/README.md",
"repo_id": "candle",
"token_count": 449
} | 36 |
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "phi-mixformer-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
return new... | candle/candle-wasm-examples/phi/phiWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/phi/phiWorker.js",
"repo_id": "candle",
"token_count": 1667
} | 37 |
use candle::{Device, Tensor};
use candle_transformers::generation::LogitsProcessor;
pub use candle_transformers::models::quantized_t5::{
Config, T5EncoderModel, T5ForConditionalGeneration, VarBuilder,
};
use candle_wasm_example_t5::console_log;
use tokenizers::Tokenizer;
use wasm_bindgen::prelude::*;
const DEVICE:... | candle/candle-wasm-examples/t5/src/bin/m-quantized.rs/0 | {
"file_path": "candle/candle-wasm-examples/t5/src/bin/m-quantized.rs",
"repo_id": "candle",
"token_count": 3555
} | 38 |
pub const WITH_TIMER: bool = true;
struct Timer {
label: &'static str,
}
// impl Timer {
// fn new(label: &'static str) -> Self {
// if WITH_TIMER {
// web_sys::console::time_with_label(label);
// }
// Self { label }
// }
// }
impl Drop for Timer {
fn drop(&mut sel... | candle/candle-wasm-examples/whisper/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/lib.rs",
"repo_id": "candle",
"token_count": 252
} | 39 |
//load the candle yolo wasm module
import init, { Model, ModelPose } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "yolo-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedR... | candle/candle-wasm-examples/yolo/yoloWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/yolo/yoloWorker.js",
"repo_id": "candle",
"token_count": 756
} | 40 |
ARG INCLUDE_DB=false
FROM mongo:latest as mongo
FROM node:20-slim as local_db_false
FROM node:20-slim as local_db_true
RUN apt-get update
RUN apt-get install gnupg curl -y
COPY --from=mongo /usr/bin/mongo* /usr/bin/
FROM local_db_${INCLUDE_DB} as final
ARG INCLUDE_DB=false
ENV INCLUDE_DB=${INCLUDE_DB}
WORKDIR /ap... | chat-ui/Dockerfile.local/0 | {
"file_path": "chat-ui/Dockerfile.local",
"repo_id": "chat-ui",
"token_count": 278
} | 41 |
import { navigating } from "$app/stores";
import { tick } from "svelte";
import { get } from "svelte/store";
const detachedOffset = 10;
/**
* @param node element to snap scroll to bottom
* @param dependency pass in a dependency to update scroll on changes.
*/
export const snapScrollToBottom = (node: HTMLElement, d... | chat-ui/src/lib/actions/snapScrollToBottom.ts/0 | {
"file_path": "chat-ui/src/lib/actions/snapScrollToBottom.ts",
"repo_id": "chat-ui",
"token_count": 437
} | 42 |
<script lang="ts">
import CarbonRotate360 from "~icons/carbon/rotate-360";
export let classNames = "";
</script>
<button
type="button"
on:click
class="btn flex h-8 rounded-lg border bg-white px-3 py-1 text-gray-500 shadow-sm transition-all hover:bg-gray-100 dark:border-gray-600 dark:bg-gray-700 dark:text-gray-30... | chat-ui/src/lib/components/RetryBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/RetryBtn.svelte",
"repo_id": "chat-ui",
"token_count": 157
} | 43 |
<script lang="ts">
export let classNames = "";
</script>
<svg
width="1em"
height="1em"
viewBox="0 0 15 6"
class={classNames}
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M1.67236 1L7.67236 7L13.6724 1"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
... | chat-ui/src/lib/components/icons/IconChevron.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconChevron.svelte",
"repo_id": "chat-ui",
"token_count": 156
} | 44 |
import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import { z } from "zod";
import type { Endpoint } from "../endpoints";
export const endpointAwsParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal(... | chat-ui/src/lib/server/endpoints/aws/endpointAws.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/aws/endpointAws.ts",
"repo_id": "chat-ui",
"token_count": 582
} | 45 |
import { searchWeb } from "$lib/server/websearch/searchWeb";
import type { Message } from "$lib/types/Message";
import type { WebSearch, WebSearchSource } from "$lib/types/WebSearch";
import { generateQuery } from "$lib/server/websearch/generateQuery";
import { parseWeb } from "$lib/server/websearch/parseWeb";
import {... | chat-ui/src/lib/server/websearch/runWebSearch.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/runWebSearch.ts",
"repo_id": "chat-ui",
"token_count": 1565
} | 46 |
import type { Session } from "./Session";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
export interface MessageEvent extends Pick<Timestamps, "createdAt"> {
userId: User["_id"] | Session["sessionId"];
ip?: string;
}
| chat-ui/src/lib/types/MessageEvent.ts/0 | {
"file_path": "chat-ui/src/lib/types/MessageEvent.ts",
"repo_id": "chat-ui",
"token_count": 80
} | 47 |
export function deepestChild(el: HTMLElement): HTMLElement {
if (el.lastElementChild && el.lastElementChild.nodeType !== Node.TEXT_NODE) {
return deepestChild(el.lastElementChild as HTMLElement);
}
return el;
}
| chat-ui/src/lib/utils/deepestChild.ts/0 | {
"file_path": "chat-ui/src/lib/utils/deepestChild.ts",
"repo_id": "chat-ui",
"token_count": 74
} | 48 |
<script lang="ts">
import { onDestroy } from "svelte";
import { goto, invalidate } from "$app/navigation";
import { page } from "$app/stores";
import "../styles/main.css";
import { base } from "$app/paths";
import { PUBLIC_APP_DESCRIPTION, PUBLIC_ORIGIN } from "$env/static/public";
import { shareConversation } ... | chat-ui/src/routes/+layout.svelte/0 | {
"file_path": "chat-ui/src/routes/+layout.svelte",
"repo_id": "chat-ui",
"token_count": 2291
} | 49 |
import { MESSAGES_BEFORE_LOGIN, RATE_LIMIT } from "$env/static/private";
import { authCondition, requiresUser } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { models } from "$lib/server/models";
import { ERROR_MESSAGES } from "$lib/stores/errors";
import type { Message } from "$li... | chat-ui/src/routes/conversation/[id]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/+server.ts",
"repo_id": "chat-ui",
"token_count": 4523
} | 50 |
<script lang="ts">
import { createEventDispatcher } from "svelte";
import Modal from "$lib/components/Modal.svelte";
import CarbonClose from "~icons/carbon/close";
import CarbonTrashCan from "~icons/carbon/trash-can";
import CarbonArrowUpRight from "~icons/carbon/arrow-up-right";
import { enhance } from "$app/f... | chat-ui/src/routes/settings/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/+page.svelte",
"repo_id": "chat-ui",
"token_count": 1373
} | 51 |
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
} | 52 |
# 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
} | 53 |
# 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": 1389
} | 54 |
# 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
} | 55 |
# 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
} | 56 |
# 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
} | 57 |
# 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
} | 58 |
# 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
} | 59 |
# 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
} | 60 |
# 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
} | 61 |
__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
} | 62 |
# 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
} | 63 |
import copy
import itertools
import sys
import warnings
from collections import Counter
from copy import deepcopy
from dataclasses import dataclass
from functools import partial
from itertools import cycle, islice
from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union
import numpy as ... | datasets/src/datasets/iterable_dataset.py/0 | {
"file_path": "datasets/src/datasets/iterable_dataset.py",
"repo_id": "datasets",
"token_count": 46487
} | 64 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=True)
class Summarization(TaskTemplate):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
task... | datasets/src/datasets/tasks/summarization.py/0 | {
"file_path": "datasets/src/datasets/tasks/summarization.py",
"repo_id": "datasets",
"token_count": 254
} | 65 |
# Copyright 2020 Optuna, Hugging Face
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | datasets/src/datasets/utils/logging.py/0 | {
"file_path": "datasets/src/datasets/utils/logging.py",
"repo_id": "datasets",
"token_count": 1934
} | 66 |
import os
from typing import Dict, List, Tuple, TypeVar, Union
T = TypeVar("T")
ListLike = Union[List[T], Tuple[T, ...]]
NestedDataStructureLike = Union[T, List[T], Dict[str, T]]
PathLike = Union[str, bytes, os.PathLike]
| datasets/src/datasets/utils/typing.py/0 | {
"file_path": "datasets/src/datasets/utils/typing.py",
"repo_id": "datasets",
"token_count": 84
} | 67 |
import json
import tarfile
import numpy as np
import pytest
from datasets import Audio, DownloadManager, Features, Image, Value
from datasets.packaged_modules.webdataset.webdataset import WebDataset
from ..utils import require_pil, require_sndfile
@pytest.fixture
def image_wds_file(tmp_path, image_file):
json_... | datasets/tests/packaged_modules/test_webdataset.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_webdataset.py",
"repo_id": "datasets",
"token_count": 2263
} | 68 |
import json
import os
import pickle
import subprocess
from functools import partial
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import FunctionType
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from multiprocess import... | datasets/tests/test_fingerprint.py/0 | {
"file_path": "datasets/tests/test_fingerprint.py",
"repo_id": "datasets",
"token_count": 6783
} | 69 |
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
example_yaml_structure = yaml.safe_load(
"""\
name: ""
allow_empty: false
allow_empty_text: true
subsections:
- name: "Dataset Card for X" #... | datasets/tests/test_readme_util.py/0 | {
"file_path": "datasets/tests/test_readme_util.py",
"repo_id": "datasets",
"token_count": 6733
} | 70 |
<jupyter_start><jupyter_text>Bonus Unit 1: Let's train Huggy the Dog 🐶 to fetch a stick In this notebook, we'll reinforce what we learned in the first Unit by **teaching Huggy the Dog to fetch the stick and then play with it directly in your browser**⬇️ Here is an example of what **you will achieve at the end of the u... | deep-rl-class/notebooks/bonus-unit1/bonus-unit1.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/bonus-unit1/bonus-unit1.ipynb",
"repo_id": "deep-rl-class",
"token_count": 3113
} | 71 |
# 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
} | 72 |
# 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
} | 73 |
# 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
} | 74 |
# (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": 1814
} | 75 |
# 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
} | 76 |
# Interesting Environments to try
Here we provide a list of interesting environments you can try to train your agents on:
## MineRL
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit12/minerl.jpg" alt="MineRL"/>
MineRL is a Python library that provides a Gym int... | 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": 851
} | 77 |
import glob
import subprocess
import sys
from typing import List
sys.path.append(".")
from benchmark_text_to_image import ALL_T2I_CKPTS # noqa: E402
PATTERN = "benchmark_*.py"
class SubprocessCallException(Exception):
pass
# Taken from `test_examples_utils.py`
def run_command(command: List[str], return_std... | diffusers/benchmarks/run_all.py/0 | {
"file_path": "diffusers/benchmarks/run_all.py",
"repo_id": "diffusers",
"token_count": 1436
} | 78 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/schedulers/lcm.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/lcm.md",
"repo_id": "diffusers",
"token_count": 292
} | 79 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/conceptual/evaluation.md/0 | {
"file_path": "diffusers/docs/source/en/conceptual/evaluation.md",
"repo_id": "diffusers",
"token_count": 8300
} | 80 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/optimization/torch2.0.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/torch2.0.md",
"repo_id": "diffusers",
"token_count": 7438
} | 81 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/training/sdxl.md/0 | {
"file_path": "diffusers/docs/source/en/training/sdxl.md",
"repo_id": "diffusers",
"token_count": 4390
} | 82 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/controlnet.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/controlnet.md",
"repo_id": "diffusers",
"token_count": 8406
} | 83 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/other-modalities.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/other-modalities.md",
"repo_id": "diffusers",
"token_count": 334
} | 84 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: クイックツアー
- local: stable_diffusion
title: 有効で効率の良い拡散モデル
- local: installation
title: インストール
title: はじめに
- sections:
- local: tutorials/tutorial_overview
title: 概要
- local: tutorials/autopipeline
title: AutoPipe... | diffusers/docs/source/ja/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/ja/_toctree.yml",
"repo_id": "diffusers",
"token_count": 166
} | 85 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/optimization/onnx.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/onnx.md",
"repo_id": "diffusers",
"token_count": 1438
} | 86 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/overview.md/0 | {
"file_path": "diffusers/docs/source/ko/training/overview.md",
"repo_id": "diffusers",
"token_count": 4745
} | 87 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/loading_overview.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/loading_overview.md",
"repo_id": "diffusers",
"token_count": 1158
} | 88 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: 快速入门
- local: stable_diffusion
title: 有效和高效的扩散
- local: installation
title: 安装
title: 开始
| diffusers/docs/source/zh/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/zh/_toctree.yml",
"repo_id": "diffusers",
"token_count": 100
} | 89 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/composable_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/composable_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 12801
} | 90 |
import inspect
import re
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from packaging import version
from transformers import CLIPImageProcessor, CLIPTokenizer
import diffusers
from diffusers import OnnxRuntimeModel, OnnxStableDiffusionPipeline, SchedulerMixin
fro... | diffusers/examples/community/lpw_stable_diffusion_onnx.py/0 | {
"file_path": "diffusers/examples/community/lpw_stable_diffusion_onnx.py",
"repo_id": "diffusers",
"token_count": 24240
} | 91 |
# Copyright 2023 The Intel Labs Team Authors 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/examples/community/pipeline_stable_diffusion_upscale_ldm3d.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_upscale_ldm3d.py",
"repo_id": "diffusers",
"token_count": 17035
} | 92 |
# Inspired by: https://github.com/haofanwang/ControlNet-for-Diffusers/
import inspect
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from di... | diffusers/examples/community/stable_diffusion_controlnet_inpaint.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_controlnet_inpaint.py",
"repo_id": "diffusers",
"token_count": 25229
} | 93 |
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 import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | diffusers/examples/community/wildcard_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/wildcard_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 8987
} | 94 |
# coding=utf-8
# Copyright 2023 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": 2011
} | 95 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/dreambooth/train_dreambooth.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth.py",
"repo_id": "diffusers",
"token_count": 25066
} | 96 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py",
"repo_id": "diffusers",
"token_count": 14754
} | 97 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/research_projects/controlnetxs/controlnetxs.py/0 | {
"file_path": "diffusers/examples/research_projects/controlnetxs/controlnetxs.py",
"repo_id": "diffusers",
"token_count": 20495
} | 98 |
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
parser = argparse.ArgumentParser("Stable Diffusion script with intel optimization", add_help=False)
parser.add_argument("--dpm", action="store_true", help="Enable DPMSol... | diffusers/examples/research_projects/intel_opts/inference_bf16.py/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/inference_bf16.py",
"repo_id": "diffusers",
"token_count": 798
} | 99 |
import argparse
import copy
import itertools
import logging
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils impor... | diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py/0 | {
"file_path": "diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py",
"repo_id": "diffusers",
"token_count": 10829
} | 100 |
# coding=utf-8
# Copyright 2023 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/test_examples_utils.py/0 | {
"file_path": "diffusers/examples/test_examples_utils.py",
"repo_id": "diffusers",
"token_count": 715
} | 101 |
[tool.ruff]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "F402", "F823"]
select = ["C", "E", "F", "I", "W"]
line-length = 119
# Ignore import violations in all `__init__.py` files.
[tool.ruff.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
"src/diffusers/utils/d... | diffusers/pyproject.toml/0 | {
"file_path": "diffusers/pyproject.toml",
"repo_id": "diffusers",
"token_count": 270
} | 102 |
import argparse
import os
import torch
from torchvision.datasets.utils import download_url
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, Transformer2DModel
pretrained_models = {512: "DiT-XL-2-512x512.pt", 256: "DiT-XL-2-256x256.pt"}
def download_model(model_name):
"""
Downloads a pre-tr... | diffusers/scripts/convert_dit_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dit_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3037
} | 103 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/scripts/convert_original_controlnet_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_original_controlnet_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1609
} | 104 |
"""
This script ports models from VQ-diffusion (https://github.com/microsoft/VQ-Diffusion) to diffusers.
It currently only supports porting the ITHQ dataset.
ITHQ dataset:
```sh
# From the root directory of diffusers.
# Download the VQVAE checkpoint
$ wget https://facevcstandard.blob.core.windows.net/v-zhictang/Impr... | diffusers/scripts/convert_vq_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vq_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 14916
} | 105 |
# 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/experimental/rl/value_guided_sampling.py/0 | {
"file_path": "diffusers/src/diffusers/experimental/rl/value_guided_sampling.py",
"repo_id": "diffusers",
"token_count": 2640
} | 106 |
# coding=utf-8
# Copyright 2023 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/activations.py/0 | {
"file_path": "diffusers/src/diffusers/models/activations.py",
"repo_id": "diffusers",
"token_count": 1679
} | 107 |
# 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/models/embeddings.py/0 | {
"file_path": "diffusers/src/diffusers/models/embeddings.py",
"repo_id": "diffusers",
"token_count": 15917
} | 108 |
# 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/models/transformers/dual_transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/dual_transformer_2d.py",
"repo_id": "diffusers",
"token_count": 3163
} | 109 |
# 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/models/unets/unet_2d_condition.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 28401
} | 110 |
# 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/amused/pipeline_amused.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/amused/pipeline_amused.py",
"repo_id": "diffusers",
"token_count": 6938
} | 111 |
# Copyright 2023 Salesforce.com, inc.
# 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/LICENS... | diffusers/src/diffusers/pipelines/blip_diffusion/modeling_ctx_clip.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/modeling_ctx_clip.py",
"repo_id": "diffusers",
"token_count": 3811
} | 112 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_ddim": ["DDIMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_ddim import DDIMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/ddim/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ddim/__init__.py",
"repo_id": "diffusers",
"token_count": 180
} | 113 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_librosa_available,
is_note_seq_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}... | diffusers/src/diffusers/pipelines/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 2227
} | 114 |
# 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/deprecated/score_sde_ve/pipeline_score_sde_ve.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/score_sde_ve/pipeline_score_sde_ve.py",
"repo_id": "diffusers",
"token_count": 1760
} | 115 |
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.utils import deprecate
from ....configuration_utils import ConfigMixin, register_to_config
from ....models import ModelMixin
from ....models.activations impo... | diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py",
"repo_id": "diffusers",
"token_count": 55425
} | 116 |
# Copyright 2023 Stanford 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/pipelines/latent_consistency_models/pipeline_latent_consistency_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_img2img.py",
"repo_id": "diffusers",
"token_count": 20567
} | 117 |
# Copyright 2023 PixArt-Alpha Authors 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
#
# Unl... | diffusers/src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py",
"repo_id": "diffusers",
"token_count": 19803
} | 118 |
# 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/stable_diffusion/safety_checker_flax.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py",
"repo_id": "diffusers",
"token_count": 1823
} | 119 |
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING, List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
BaseOutput,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is... | diffusers/src/diffusers/pipelines/stable_diffusion_safe/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/__init__.py",
"repo_id": "diffusers",
"token_count": 1237
} | 120 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/t2i_adapter/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/t2i_adapter/__init__.py",
"repo_id": "diffusers",
"token_count": 602
} | 121 |
import inspect
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionModelWithProjection,
GPT2Tokenizer,
)
from ...image_processor ... | diffusers/src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py",
"repo_id": "diffusers",
"token_count": 31017
} | 122 |
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from ..utils.torch_utils import randn_tensor
from .scheduling_utils import SchedulerMixin
# Copied from diffusers.sche... | diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py",
"repo_id": "diffusers",
"token_count": 3036
} | 123 |
# Copyright 2023 Katherine Crowson 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/schedulers/scheduling_euler_ancestral_discrete.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py",
"repo_id": "diffusers",
"token_count": 8876
} | 124 |
# Copyright 2023 Google Brain and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers/src/diffusers/schedulers/scheduling_sde_ve_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_sde_ve_flax.py",
"repo_id": "diffusers",
"token_count": 4805
} | 125 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class AsymmetricAutoencoderKL(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
def ... | diffusers/src/diffusers/utils/dummy_pt_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_pt_objects.py",
"repo_id": "diffusers",
"token_count": 12125
} | 126 |
from typing import List
import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image
if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
PIL_INTERPOLATION = {
"linear": PIL.Image.Resampling.BILINEAR,
"bilinear": PIL.Image.Resampling... | diffusers/src/diffusers/utils/pil_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/pil_utils.py",
"repo_id": "diffusers",
"token_count": 849
} | 127 |
import unittest
from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
from ..test_modeling_common_flax import FlaxModelTesterMixin
if is_flax_available():
import jax
@require_flax
class FlaxAutoencoderKLTests(FlaxModelTeste... | diffusers/tests/models/autoencoders/test_models_vae_flax.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_vae_flax.py",
"repo_id": "diffusers",
"token_count": 513
} | 128 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/models/unets/test_models_unet_spatiotemporal.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_spatiotemporal.py",
"repo_id": "diffusers",
"token_count": 4295
} | 129 |
# coding=utf-8
# Copyright 2023 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/amused/test_amused_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/amused/test_amused_img2img.py",
"repo_id": "diffusers",
"token_count": 3983
} | 130 |
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