text stringlengths 96 319k | id stringlengths 14 178 | metadata dict |
|---|---|---|
import { base } from "$app/paths";
import { collections } from "$lib/server/database";
import { redirect } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { authCondition } from "$lib/server/auth.js";
export async function load({ params, locals }) {
try {
const assistant = await collections.assista... | chat-ui/src/routes/assistant/[assistantId]/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/assistant/[assistantId]/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 382
} |
<script lang="ts">
import { page } from "$app/state";
import { base } from "$app/paths";
import { env as envPublic } from "$env/dynamic/public";
import type { BackendModel } from "$lib/server/models";
import { useSettingsStore } from "$lib/stores/settings";
import CopyToClipBoardBtn from "$lib/components/CopyToCl... | chat-ui/src/routes/settings/(nav)/[...model]/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/[...model]/+page.svelte",
"repo_id": "chat-ui",
"token_count": 1881
} |
<script lang="ts">
import { createBubbler } from "svelte/legacy";
const bubble = createBubbler();
import type { PageData } from "./$types";
import { isHuggingChat } from "$lib/utils/isHuggingChat";
import { goto } from "$app/navigation";
import { base } from "$app/paths";
import { page } from "$app/state";
... | chat-ui/src/routes/tools/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/tools/+page.svelte",
"repo_id": "chat-ui",
"token_count": 5177
} |
{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"mark": {
"type": "line"
},
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "quantitative",
... | datasets/.dvc/plots/smooth.json/0 | {
"file_path": "datasets/.dvc/plots/smooth.json",
"repo_id": "datasets",
"token_count": 569
} |
# How to contribute to Datasets?
[](CODE_OF_CONDUCT.md)
Datasets is an open source project, so all contributions and suggestions are welcome.
You can contribute in many different ways: giving ideas, answering questions, reporti... | datasets/CONTRIBUTING.md/0 | {
"file_path": "datasets/CONTRIBUTING.md",
"repo_id": "datasets",
"token_count": 1793
} |
# Cache management
When you download a dataset from Hugging Face, the data are stored locally on your computer.
Files from Hugging Face are stored as usual in the `huggingface_hub` cache, which is at `~/.cache/huggingface/hub` by default.
See the [Hub cache documentation](https://huggingface.co/docs/huggingface_hub/gu... | datasets/docs/source/cache.mdx/0 | {
"file_path": "datasets/docs/source/cache.mdx",
"repo_id": "datasets",
"token_count": 988
} |
# Installation
Before you start, you'll need to setup your environment and install the appropriate packages. 🤗 Datasets is tested on **Python 3.7+**.
<Tip>
If you want to use 🤗 Datasets with TensorFlow or PyTorch, you'll need to install them separately. Refer to the [TensorFlow installation page](https://www.tenso... | datasets/docs/source/installation.md/0 | {
"file_path": "datasets/docs/source/installation.md",
"repo_id": "datasets",
"token_count": 1236
} |
# Stream
Dataset streaming lets you work with a dataset without downloading it.
The data is streamed as you iterate over the dataset.
This is especially helpful when:
- You don't want to wait for an extremely large dataset to download.
- The dataset size exceeds the amount of available disk space on your computer.
- ... | datasets/docs/source/stream.mdx/0 | {
"file_path": "datasets/docs/source/stream.mdx",
"repo_id": "datasets",
"token_count": 6827
} |
<!---
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 ... | datasets/notebooks/README.md/0 | {
"file_path": "datasets/notebooks/README.md",
"repo_id": "datasets",
"token_count": 534
} |
import importlib
import importlib.metadata
import logging
import os
import platform
from pathlib import Path
from typing import Optional
from huggingface_hub import constants
from packaging import version
logger = logging.getLogger(__name__.split(".", 1)[0]) # to avoid circular import from .utils.logging
# Dataset... | datasets/src/datasets/config.py/0 | {
"file_path": "datasets/src/datasets/config.py",
"repo_id": "datasets",
"token_count": 4285
} |
import os
from functools import partial
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
class BaseCompressedFileFileSystem(AbstractArchiveFileSystem):
"""Read contents of compressed file as a filesystem with one file inside."""
root_marker = ""
protocol: st... | datasets/src/datasets/filesystems/compression.py/0 | {
"file_path": "datasets/src/datasets/filesystems/compression.py",
"repo_id": "datasets",
"token_count": 1812
} |
import multiprocessing
import os
from typing import BinaryIO, Optional, Union
import fsspec
from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.json.json import Json
from ..utils import tqdm as hf_tqdm
from ..utils.typing import NestedDataStructureLike, Pa... | datasets/src/datasets/io/json.py/0 | {
"file_path": "datasets/src/datasets/io/json.py",
"repo_id": "datasets",
"token_count": 3162
} |
import copy
import os
from functools import partial
from itertools import groupby
from typing import TYPE_CHECKING, Any, Callable, Iterator, List, Optional, Tuple, TypeVar, Union
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.types
from .utils.logging import get_logger
if TYPE_C... | datasets/src/datasets/table.py/0 | {
"file_path": "datasets/src/datasets/table.py",
"repo_id": "datasets",
"token_count": 41887
} |
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | datasets/src/datasets/utils/py_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/py_utils.py",
"repo_id": "datasets",
"token_count": 11710
} |
# 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/templates/new_dataset_script.py/0 | {
"file_path": "datasets/templates/new_dataset_script.py",
"repo_id": "datasets",
"token_count": 3156
} |
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def _check_json_dataset(dataset, expected... | datasets/tests/io/test_json.py/0 | {
"file_path": "datasets/tests/io/test_json.py",
"repo_id": "datasets",
"token_count": 5153
} |
import textwrap
import pyarrow as pa
import pytest
from datasets import Features, Image
from datasets.builder import InvalidConfigName
from datasets.data_files import DataFilesList
from datasets.packaged_modules.text.text import Text, TextConfig
from ..utils import require_pil
@pytest.fixture
def text_file(tmp_pat... | datasets/tests/packaged_modules/test_text.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_text.py",
"repo_id": "datasets",
"token_count": 1494
} |
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, is_remote_filesystem
from .utils import require_lz4, require_zstandar... | datasets/tests/test_filesystem.py/0 | {
"file_path": "datasets/tests/test_filesystem.py",
"repo_id": "datasets",
"token_count": 1145
} |
import inspect
import pytest
from datasets.splits import Split, SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
"split_dict",
[
SplitDict(),
SplitDict({"train": SplitInfo(name="train", num_bytes=1337, num_examples=42, dataset_name="my_dataset")}),
... | datasets/tests/test_splits.py/0 | {
"file_path": "datasets/tests/test_splits.py",
"repo_id": "datasets",
"token_count": 678
} |
import argparse
import sys
sys.path.append(".")
from base_classes import IPAdapterTextToImageBenchmark # noqa: E402
IP_ADAPTER_CKPTS = {
# because original SD v1.5 has been taken down.
"Lykon/DreamShaper": ("h94/IP-Adapter", "ip-adapter_sd15.bin"),
"stabilityai/stable-diffusion-xl-base-1.0": ("h94/IP-A... | diffusers/benchmarks/benchmark_ip_adapters.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_ip_adapters.py",
"repo_id": "diffusers",
"token_count": 450
} |
FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update \
&& apt-get install -y software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa
RUN apt install -y bash \
build-essential \
g... | diffusers/docker/diffusers-pytorch-cuda/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-pytorch-cuda/Dockerfile",
"repo_id": "diffusers",
"token_count": 518
} |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/loaders/peft.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/peft.md",
"repo_id": "diffusers",
"token_count": 332
} |
<!-- 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 agree... | diffusers/docs/source/en/api/models/autoencoderkl_ltx_video.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/autoencoderkl_ltx_video.md",
"repo_id": "diffusers",
"token_count": 386
} |
<!--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
} |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/schedulers/multistep_dpm_solver_inverse.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/multistep_dpm_solver_inverse.md",
"repo_id": "diffusers",
"token_count": 547
} |
<!--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/conceptual/evaluation.md/0 | {
"file_path": "diffusers/docs/source/en/conceptual/evaluation.md",
"repo_id": "diffusers",
"token_count": 8359
} |
# T-GATE
[T-GATE](https://github.com/HaozheLiu-ST/T-GATE/tree/main) accelerates inference for [Stable Diffusion](../api/pipelines/stable_diffusion/overview), [PixArt](../api/pipelines/pixart), and [Latency Consistency Model](../api/pipelines/latent_consistency_models.md) pipelines by skipping the cross-attention calcu... | diffusers/docs/source/en/optimization/tgate.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/tgate.md",
"repo_id": "diffusers",
"token_count": 2963
} |
<!--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/fast_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/fast_diffusion.md",
"repo_id": "diffusers",
"token_count": 4972
} |
<!--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/inference_with_lcm.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/inference_with_lcm.md",
"repo_id": "diffusers",
"token_count": 9016
} |
<!--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/sdxl.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/sdxl.md",
"repo_id": "diffusers",
"token_count": 7092
} |
<!--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/tutorials/autopipeline.md/0 | {
"file_path": "diffusers/docs/source/ja/tutorials/autopipeline.md",
"repo_id": "diffusers",
"token_count": 4154
} |
<!--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/open_vino.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/open_vino.md",
"repo_id": "diffusers",
"token_count": 927
} |
<!--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 agree... | diffusers/docs/source/ko/training/text_inversion.md/0 | {
"file_path": "diffusers/docs/source/ko/training/text_inversion.md",
"repo_id": "diffusers",
"token_count": 9110
} |
<!--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/schedulers.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/schedulers.md",
"repo_id": "diffusers",
"token_count": 6923
} |
<!--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/installation.md/0 | {
"file_path": "diffusers/docs/source/zh/installation.md",
"repo_id": "diffusers",
"token_count": 2457
} |
# 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 applica... | diffusers/examples/cogvideo/train_cogvideox_image_to_video_lora.py/0 | {
"file_path": "diffusers/examples/cogvideo/train_cogvideox_image_to_video_lora.py",
"repo_id": "diffusers",
"token_count": 28144
} |
import math
import numbers
from typing import Any, Callable, Dict, List, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from diffusers.image_processor import PipelineImageInput
from diffusers.models import AsymmetricAutoencoderKL, ImageProjection
from diffusers.models.attention_proc... | diffusers/examples/community/hd_painter.py/0 | {
"file_path": "diffusers/examples/community/hd_painter.py",
"repo_id": "diffusers",
"token_count": 20682
} |
# Copyright 2024 Bingxin Ke, ETH Zurich 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
#
# U... | diffusers/examples/community/marigold_depth_estimation.py/0 | {
"file_path": "diffusers/examples/community/marigold_depth_estimation.py",
"repo_id": "diffusers",
"token_count": 12108
} |
# 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/pipeline_stable_diffusion_xl_ipex.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_ipex.py",
"repo_id": "diffusers",
"token_count": 32241
} |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/stable_diffusion_ipex.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_ipex.py",
"repo_id": "diffusers",
"token_count": 16861
} |
# Latent Consistency Distillation Example:
[Latent Consistency Models (LCMs)](https://arxiv.org/abs/2310.04378) is a method to distill a latent diffusion model to enable swift inference with minimal steps. This example demonstrates how to use latent consistency distillation to distill stable-diffusion-v1.5 for inferen... | diffusers/examples/consistency_distillation/README.md/0 | {
"file_path": "diffusers/examples/consistency_distillation/README.md",
"repo_id": "diffusers",
"token_count": 1523
} |
# DreamBooth training example for Stable Diffusion 3 (SD3)
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject.
The `train_dreambooth_sd3.py` script shows how to implement the training procedure and adapt it for [... | diffusers/examples/dreambooth/README_sd3.md/0 | {
"file_path": "diffusers/examples/dreambooth/README_sd3.md",
"repo_id": "diffusers",
"token_count": 3204
} |
## Diffusion-based Policy Learning for RL
`diffusion_policy` implements [Diffusion Policy](https://diffusion-policy.cs.columbia.edu/), a diffusion model that predicts robot action sequences in reinforcement learning tasks.
This example implements a robot control model for pushing a T-shaped block into a target area.... | diffusers/examples/reinforcement_learning/README.md/0 | {
"file_path": "diffusers/examples/reinforcement_learning/README.md",
"repo_id": "diffusers",
"token_count": 465
} |
# Distillation for quantization on Textual Inversion models to personalize text2image
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images._By using just 3-5 images new concepts can be taught to Stable Diffusion and the model person... | diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/README.md/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/README.md",
"repo_id": "diffusers",
"token_count": 1443
} |
# Multi Subject Dreambooth for Inpainting Models
Please note that this project is not actively maintained. However, you can open an issue and tag @gzguevara.
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few(3~5) images of a subject. Thi... | diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/README.md/0 | {
"file_path": "diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/README.md",
"repo_id": "diffusers",
"token_count": 1665
} |
## Training examples
Creating a training image set is [described in a different document](https://huggingface.co/docs/datasets/image_process#image-datasets).
### Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
To make sure you can succ... | diffusers/examples/research_projects/onnxruntime/unconditional_image_generation/README.md/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/unconditional_image_generation/README.md",
"repo_id": "diffusers",
"token_count": 500
} |
# Stable Diffusion text-to-image fine-tuning using PyTorch/XLA
The `train_text_to_image_xla.py` script shows how to fine-tune stable diffusion model on TPU devices using PyTorch/XLA.
It has been tested on v4 and v5p TPU versions. Training code has been tested on multi-host.
This script implements Distributed Data P... | diffusers/examples/research_projects/pytorch_xla/training/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/research_projects/pytorch_xla/training/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 2275
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/text_to_image/test_text_to_image.py/0 | {
"file_path": "diffusers/examples/text_to_image/test_text_to_image.py",
"repo_id": "diffusers",
"token_count": 7427
} |
## Training an unconditional diffusion model
Creating a training image set is [described in a different document](https://huggingface.co/docs/datasets/image_process#image-datasets).
### Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
T... | diffusers/examples/unconditional_image_generation/README.md/0 | {
"file_path": "diffusers/examples/unconditional_image_generation/README.md",
"repo_id": "diffusers",
"token_count": 1939
} |
import argparse
from typing import Dict
import torch
import torch.nn as nn
from diffusers import SparseControlNetModel
KEYS_RENAME_MAPPING = {
".attention_blocks.0": ".attn1",
".attention_blocks.1": ".attn2",
".attn1.pos_encoder": ".pos_embed",
".ff_norm": ".norm3",
".norms.0": ".norm1",
".n... | diffusers/scripts/convert_animatediff_sparsectrl_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_animatediff_sparsectrl_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1144
} |
import argparse
from contextlib import nullcontext
import safetensors.torch
from accelerate import init_empty_weights
from huggingface_hub import hf_hub_download
from diffusers.utils.import_utils import is_accelerate_available, is_transformers_available
if is_transformers_available():
from transformers import C... | diffusers/scripts/convert_flux_xlabs_ipadapter_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_flux_xlabs_ipadapter_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1463
} |
import json
import os
import torch
from diffusers import UNet1DModel
os.makedirs("hub/hopper-medium-v2/unet/hor32", exist_ok=True)
os.makedirs("hub/hopper-medium-v2/unet/hor128", exist_ok=True)
os.makedirs("hub/hopper-medium-v2/value_function", exist_ok=True)
def unet(hor):
if hor == 128:
down_block_... | diffusers/scripts/convert_models_diffuser_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_models_diffuser_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1700
} |
# Run this script to convert the Stable Cascade model weights to a diffusers pipeline.
import argparse
import json
import os
from contextlib import nullcontext
import torch
from safetensors.torch import load_file
from transformers import (
AutoTokenizer,
T5EncoderModel,
)
from diffusers import (
Autoencod... | diffusers/scripts/convert_stable_audio.py/0 | {
"file_path": "diffusers/scripts/convert_stable_audio.py",
"repo_id": "diffusers",
"token_count": 4812
} |
"""
This script demonstrates how to extract a LoRA checkpoint from a fully finetuned model with the CogVideoX model.
To make it work for other models:
* Change the model class. Here we use `CogVideoXTransformer3DModel`. For Flux, it would be `FluxTransformer2DModel`,
for example. (TODO: more reason to add `AutoModel`... | diffusers/scripts/extract_lora_from_model.py/0 | {
"file_path": "diffusers/scripts/extract_lora_from_model.py",
"repo_id": "diffusers",
"token_count": 2140
} |
# 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/loaders/transformer_sd3.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/transformer_sd3.py",
"repo_id": "diffusers",
"token_count": 1918
} |
# Copyright 2024 The CogVideoX team, Tsinghua University & ZhipuAI 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.o... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl_cogvideox.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_cogvideox.py",
"repo_id": "diffusers",
"token_count": 28358
} |
# 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/controlnets/controlnet.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/controlnet.py",
"repo_id": "diffusers",
"token_count": 18810
} |
from dataclasses import dataclass
from ..utils import BaseOutput
@dataclass
class AutoencoderKLOutput(BaseOutput):
"""
Output of AutoencoderKL encoding method.
Args:
latent_dist (`DiagonalGaussianDistribution`):
Encoded outputs of `Encoder` represented as the mean and logvar of `Diag... | diffusers/src/diffusers/models/modeling_outputs.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_outputs.py",
"repo_id": "diffusers",
"token_count": 377
} |
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...loaders import PeftAdapterMixin, UNet2DConditionLoadersMixin
from ...utils import BaseOutput
from ..at... | diffusers/src/diffusers/models/transformers/prior_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/prior_transformer.py",
"repo_id": "diffusers",
"token_count": 7380
} |
# 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_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d.py",
"repo_id": "diffusers",
"token_count": 7460
} |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/src/diffusers/optimization.py/0 | {
"file_path": "diffusers/src/diffusers/optimization.py",
"repo_id": "diffusers",
"token_count": 5885
} |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transfor... | diffusers/src/diffusers/pipelines/controlnet_xs/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet_xs/__init__.py",
"repo_id": "diffusers",
"token_count": 894
} |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class IFPipelineOutput(BaseOutput):
r"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Image]` or `np.ndarray`):... | diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 410
} |
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_pndm": ["PNDMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_pndm import PNDMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/deprecated/pndm/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/pndm/__init__.py",
"repo_id": "diffusers",
"token_count": 182
} |
# 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/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py",
"repo_id": "diffusers",
"token_count": 7641
} |
# 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/paint_by_example/pipeline_paint_by_example.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/paint_by_example/pipeline_paint_by_example.py",
"repo_id": "diffusers",
"token_count": 13097
} |
# Copyright 2024 Open AI 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 ... | diffusers/src/diffusers/pipelines/shap_e/camera.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/shap_e/camera.py",
"repo_id": "diffusers",
"token_count": 2274
} |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py",
"repo_id": "diffusers",
"token_count": 9920
} |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 17505
} |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_k_diffusion_available,
is_k_diffusion_version,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure... | diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 812
} |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/src/diffusers/pipelines/transformers_loading_utils.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/transformers_loading_utils.py",
"repo_id": "diffusers",
"token_count": 2082
} |
# 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/wuerstchen/pipeline_wuerstchen_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py",
"repo_id": "diffusers",
"token_count": 10773
} |
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/schedulers/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 555
} |
# 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/schedulers/scheduling_utils_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_utils_flax.py",
"repo_id": "diffusers",
"token_count": 4948
} |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class StableDiffusionKDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "k_diffusion"]
def __init__(self, *args, **kwargs):
requires_backends(se... | diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py",
"repo_id": "diffusers",
"token_count": 451
} |
import functools
import importlib
import importlib.metadata
import inspect
import io
import logging
import multiprocessing
import os
import random
import re
import struct
import sys
import tempfile
import time
import unittest
import urllib.parse
from contextlib import contextmanager
from io import BytesIO, StringIO
fro... | diffusers/src/diffusers/utils/testing_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/testing_utils.py",
"repo_id": "diffusers",
"token_count": 17593
} |
# 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/lora/test_lora_layers_sana.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_sana.py",
"repo_id": "diffusers",
"token_count": 2016
} |
# 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/models/autoencoders/test_models_consistency_decoder_vae.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_consistency_decoder_vae.py",
"repo_id": "diffusers",
"token_count": 5101
} |
# 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/models/transformers/test_models_transformer_cogview3plus.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_cogview3plus.py",
"repo_id": "diffusers",
"token_count": 1287
} |
import gc
import unittest
from parameterized import parameterized
from diffusers import FlaxUNet2DConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
@slow
@requi... | diffusers/tests/models/unets/test_models_unet_2d_flax.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_flax.py",
"repo_id": "diffusers",
"token_count": 2141
} |
# 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/others/test_utils.py/0 | {
"file_path": "diffusers/tests/others/test_utils.py",
"repo_id": "diffusers",
"token_count": 3332
} |
# Copyright 2024 The HuggingFace 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 law or agreed to in... | diffusers/tests/pipelines/consisid/test_consisid.py/0 | {
"file_path": "diffusers/tests/pipelines/consisid/test_consisid.py",
"repo_id": "diffusers",
"token_count": 6117
} |
# 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/latent_diffusion/test_latent_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion.py",
"repo_id": "diffusers",
"token_count": 3447
} |
# 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/pag/test_pag_sd_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_sd_img2img.py",
"repo_id": "diffusers",
"token_count": 4762
} |
# 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_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 2254
} |
# 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_v_pred.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py",
"repo_id": "diffusers",
"token_count": 9708
} |
# 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_ldm3d/test_stable_diffusion_ldm3d.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py",
"repo_id": "diffusers",
"token_count": 5675
} |
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableUnCLI... | diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 5074
} |
# 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/unclip/test_unclip.py/0 | {
"file_path": "diffusers/tests/pipelines/unclip/test_unclip.py",
"repo_id": "diffusers",
"token_count": 7983
} |
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class CMStochasticIterativeSchedulerTest(SchedulerCommonTest):
scheduler_classes = (CMStochasticIterativeScheduler,)
num_inference_steps = 10
def get_scheduler_config(self, **kwargs):
... | diffusers/tests/schedulers/test_scheduler_consistency_model.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_consistency_model.py",
"repo_id": "diffusers",
"token_count": 3029
} |
# 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/single_file/test_model_autoencoder_dc_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_model_autoencoder_dc_single_file.py",
"repo_id": "diffusers",
"token_count": 2113
} |
import gc
import unittest
import torch
from diffusers import StableDiffusionXLInstructPix2PixPipeline
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
require_torch_accelerator,
slow,
torch_device,
)
enable_full_determinism()
@slow
@require_torch_accele... | diffusers/tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 685
} |
# 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": 985
} |
"""
This scripts demonstrates how to evaluate a pretrained policy from the HuggingFace Hub or from your local
training outputs directory. In the latter case, you might want to run examples/3_train_policy.py first.
It requires the installation of the 'gym_pusht' simulation environment. Install it by running:
```bash
pi... | lerobot/examples/2_evaluate_pretrained_policy.py/0 | {
"file_path": "lerobot/examples/2_evaluate_pretrained_policy.py",
"repo_id": "lerobot",
"token_count": 1312
} |
#!/usr/bin/env python
# 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/LICENSE-2.0
#
# ... | lerobot/lerobot/common/datasets/lerobot_dataset.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/lerobot_dataset.py",
"repo_id": "lerobot",
"token_count": 20806
} |
#!/usr/bin/env python
# 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/LICENSE-2.0
#
# ... | lerobot/lerobot/common/datasets/push_dataset_to_hub/aloha_hdf5_format.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/aloha_hdf5_format.py",
"repo_id": "lerobot",
"token_count": 3851
} |
#!/usr/bin/env python
# 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/LICENSE-2.0
#
# ... | lerobot/lerobot/common/envs/factory.py/0 | {
"file_path": "lerobot/lerobot/common/envs/factory.py",
"repo_id": "lerobot",
"token_count": 913
} |
import json
import pickle
from pathlib import Path
import torch
from lerobot.common.datasets.lerobot_dataset import LeRobotDatasetMetadata
from lerobot.common.policies.factory import make_policy
from lerobot.configs.policies import PreTrainedConfig
def display(tensor: torch.Tensor):
if tensor.dtype == torch.boo... | lerobot/lerobot/common/policies/pi0/conversion_scripts/compare_with_jax.py/0 | {
"file_path": "lerobot/lerobot/common/policies/pi0/conversion_scripts/compare_with_jax.py",
"repo_id": "lerobot",
"token_count": 1746
} |
from typing import Protocol
import numpy as np
from lerobot.common.robot_devices.cameras.configs import (
CameraConfig,
IntelRealSenseCameraConfig,
OpenCVCameraConfig,
)
# Defines a camera type
class Camera(Protocol):
def connect(self): ...
def read(self, temporary_color: str | None = None) -> n... | lerobot/lerobot/common/robot_devices/cameras/utils.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/cameras/utils.py",
"repo_id": "lerobot",
"token_count": 626
} |
#!/usr/bin/env python
# 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/LICENSE-2.0
#
# ... | lerobot/lerobot/common/utils/import_utils.py/0 | {
"file_path": "lerobot/lerobot/common/utils/import_utils.py",
"repo_id": "lerobot",
"token_count": 1045
} |
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