text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
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
} | 98 |
# 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
} | 99 |
# Copyright 2024 Black Forest Labs and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers/examples/community/pipeline_flux_semantic_guidance.py/0 | {
"file_path": "diffusers/examples/community/pipeline_flux_semantic_guidance.py",
"repo_id": "diffusers",
"token_count": 31101
} | 100 |
# Inspired by: https://github.com/Mikubill/sd-webui-controlnet/discussions/1236 and https://github.com/Mikubill/sd-webui-controlnet/discussions/1280
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionControlNetPipe... | diffusers/examples/community/stable_diffusion_controlnet_reference.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_controlnet_reference.py",
"repo_id": "diffusers",
"token_count": 21059
} | 101 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/conftest.py/0 | {
"file_path": "diffusers/examples/conftest.py",
"repo_id": "diffusers",
"token_count": 483
} | 102 |
# DreamBooth training example for Lumina2
[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_lora_lumina2.py` script shows how to implement the training procedure with [LoRA](https://huggin... | diffusers/examples/dreambooth/README_lumina2.md/0 | {
"file_path": "diffusers/examples/dreambooth/README_lumina2.md",
"repo_id": "diffusers",
"token_count": 1497
} | 103 |
#!/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/flux-control/train_control_flux.py/0 | {
"file_path": "diffusers/examples/flux-control/train_control_flux.py",
"repo_id": "diffusers",
"token_count": 22987
} | 104 |
#!/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/kandinsky2_2/text_to_image/train_text_to_image_prior.py/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py",
"repo_id": "diffusers",
"token_count": 17062
} | 105 |
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
} | 106 |
# 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/LICENSE-2.0
#
# Unless r... | diffusers/examples/research_projects/lora/train_text_to_image_lora.py/0 | {
"file_path": "diffusers/examples/research_projects/lora/train_text_to_image_lora.py",
"repo_id": "diffusers",
"token_count": 19108
} | 107 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py",
"repo_id": "diffusers",
"token_count": 17053
} | 108 |
# Stable Diffusion XL text-to-image fine-tuning
The `train_text_to_image_sdxl.py` script shows how to fine-tune Stable Diffusion XL (SDXL) on your own dataset.
🚨 This script is experimental. The script fine-tunes the whole model and often times the model overfits and runs into issues like catastrophic forgetting. It... | diffusers/examples/text_to_image/README_sdxl.md/0 | {
"file_path": "diffusers/examples/text_to_image/README_sdxl.md",
"repo_id": "diffusers",
"token_count": 4085
} | 109 |
import argparse
import torch
import yaml
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def convert_ldm_original(checkpoint_path, config_path, output_path):
config = yaml.safe_load(config_path)
state_dict = torch.load(checkpoint_path, map_location="cpu")["model"]
keys = list(sta... | diffusers/scripts/conversion_ldm_uncond.py/0 | {
"file_path": "diffusers/scripts/conversion_ldm_uncond.py",
"repo_id": "diffusers",
"token_count": 793
} | 110 |
import argparse
import json
import torch
from diffusers import AutoencoderKL, DDPMPipeline, DDPMScheduler, UNet2DModel, VQModel
def shave_segments(path, n_shave_prefix_segments=1):
"""
Removes segments. Positive values shave the first segments, negative shave the last segments.
"""
if n_shave_prefix... | diffusers/scripts/convert_ddpm_original_checkpoint_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_ddpm_original_checkpoint_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 8490
} | 111 |
import argparse
import os
import tempfile
import torch
from accelerate import load_checkpoint_and_dispatch
from diffusers import UNet2DConditionModel
from diffusers.models.transformers.prior_transformer import PriorTransformer
from diffusers.models.vq_model import VQModel
"""
Example - From the diffusers root direc... | diffusers/scripts/convert_kandinsky_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_kandinsky_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 23602
} | 112 |
# 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/scripts/convert_original_t2i_adapter.py/0 | {
"file_path": "diffusers/scripts/convert_original_t2i_adapter.py",
"repo_id": "diffusers",
"token_count": 6734
} | 113 |
# Convert the original UniDiffuser checkpoints into diffusers equivalents.
import argparse
from argparse import Namespace
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
GPT2Tokenizer... | diffusers/scripts/convert_unidiffuser_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_unidiffuser_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 13871
} | 114 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | diffusers/src/diffusers/configuration_utils.py/0 | {
"file_path": "diffusers/src/diffusers/configuration_utils.py",
"repo_id": "diffusers",
"token_count": 14673
} | 115 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/loaders/lora_conversion_utils.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/lora_conversion_utils.py",
"repo_id": "diffusers",
"token_count": 31368
} | 116 |
# 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/attention.py/0 | {
"file_path": "diffusers/src/diffusers/models/attention.py",
"repo_id": "diffusers",
"token_count": 24259
} | 117 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/autoencoders/vae.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/vae.py",
"repo_id": "diffusers",
"token_count": 15722
} | 118 |
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnets.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
logger = logging.get_logger(__name__)
class M... | diffusers/src/diffusers/models/controlnets/multicontrolnet.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/multicontrolnet.py",
"repo_id": "diffusers",
"token_count": 3881
} | 119 |
# Copyright 2024 AuraFlow Authors, The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | diffusers/src/diffusers/models/transformers/auraflow_transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/auraflow_transformer_2d.py",
"repo_id": "diffusers",
"token_count": 9262
} | 120 |
# Copyright 2024 The CogView 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.org/l... | diffusers/src/diffusers/models/transformers/transformer_cogview4.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_cogview4.py",
"repo_id": "diffusers",
"token_count": 7704
} | 121 |
# 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_condition_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d_condition_flax.py",
"repo_id": "diffusers",
"token_count": 10117
} | 122 |
# Copyright 2024 The RhymesAI 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 re... | diffusers/src/diffusers/pipelines/allegro/pipeline_allegro.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/allegro/pipeline_allegro.py",
"repo_id": "diffusers",
"token_count": 19783
} | 123 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_tr... | diffusers/src/diffusers/pipelines/audioldm2/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm2/__init__.py",
"repo_id": "diffusers",
"token_count": 637
} | 124 |
from dataclasses import dataclass
import torch
from diffusers.utils import BaseOutput
@dataclass
class CogVideoXPipelineOutput(BaseOutput):
r"""
Output class for CogVideo pipelines.
Args:
frames (`torch.Tensor`, `np.ndarray`, or List[List[PIL.Image.Image]]):
List of video outputs - ... | diffusers/src/diffusers/pipelines/cogvideo/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/cogvideo/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 225
} | 125 |
# Copyright 2024 Salesforce.com, inc.
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py",
"repo_id": "diffusers",
"token_count": 7749
} | 126 |
import numpy as np
import torch
import torch.nn as nn
from transformers import CLIPConfig, CLIPVisionModelWithProjection, PreTrainedModel
from ...utils import logging
logger = logging.get_logger(__name__)
class IFSafetyChecker(PreTrainedModel):
config_class = CLIPConfig
_no_split_modules = ["CLIPEncoderLa... | diffusers/src/diffusers/pipelines/deepfloyd_if/safety_checker.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/safety_checker.py",
"repo_id": "diffusers",
"token_count": 913
} | 127 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/deprecated/pndm/pipeline_pndm.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/pndm/pipeline_pndm.py",
"repo_id": "diffusers",
"token_count": 1866
} | 128 |
# Copyright 2024 Pix2Pix Zero 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/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_pix2pix_zero.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_pix2pix_zero.py",
"repo_id": "diffusers",
"token_count": 28204
} | 129 |
# 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
} | 130 |
# Copyright 2024 Alpha-VLLM and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | diffusers/src/diffusers/pipelines/lumina/pipeline_lumina.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/lumina/pipeline_lumina.py",
"repo_id": "diffusers",
"token_count": 20164
} | 131 |
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/pag/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pag/__init__.py",
"repo_id": "diffusers",
"token_count": 1686
} | 132 |
# Copyright 2024 PixArt-Sigma 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/sana/pipeline_sana.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/sana/pipeline_sana.py",
"repo_id": "diffusers",
"token_count": 20708
} | 133 |
# Stable Diffusion
## Overview
Stable Diffusion was proposed in [Stable Diffusion Announcement](https://stability.ai/blog/stable-diffusion-announcement) by Patrick Esser and Robin Rombach and the Stability AI team.
The summary of the model is the following:
*Stable Diffusion is a text-to-image model that will empow... | diffusers/src/diffusers/pipelines/stable_diffusion/README.md/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/README.md",
"repo_id": "diffusers",
"token_count": 2501
} | 134 |
import torch
import torch.nn as nn
from ...models.attention_processor import Attention
class WuerstchenLayerNorm(nn.LayerNorm):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def forward(self, x):
x = x.permute(0, 2, 3, 1)
x = super().forward(x)
return... | diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py",
"repo_id": "diffusers",
"token_count": 1322
} | 135 |
#!/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/L... | diffusers/src/diffusers/quantizers/quantization_config.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/quantization_config.py",
"repo_id": "diffusers",
"token_count": 13637
} | 136 |
# Copyright 2024 ParaDiGMS 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
#
# Unless... | diffusers/src/diffusers/schedulers/scheduling_ddim_parallel.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ddim_parallel.py",
"repo_id": "diffusers",
"token_count": 13299
} | 137 |
# Copyright 2024 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_discrete_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_discrete_flax.py",
"repo_id": "diffusers",
"token_count": 4573
} | 138 |
# Copyright 2024 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": 4804
} | 139 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class OnnxRuntimeModel(metaclass=DummyObject):
_backends = ["onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["onnx"])
@classmethod
def from_conf... | diffusers/src/diffusers/utils/dummy_onnx_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_onnx_objects.py",
"repo_id": "diffusers",
"token_count": 202
} | 140 |
---
{{ card_data }}
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
{{ model_description }}
## Intended uses & limitations
#### How to use
```python
# TODO: add an ... | diffusers/src/diffusers/utils/model_card_template.md/0 | {
"file_path": "diffusers/src/diffusers/utils/model_card_template.md",
"repo_id": "diffusers",
"token_count": 138
} | 141 |
# 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 agreed to in writ... | diffusers/tests/hooks/test_hooks.py/0 | {
"file_path": "diffusers/tests/hooks/test_hooks.py",
"repo_id": "diffusers",
"token_count": 6203
} | 142 |
# 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_autoencoder_dc.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_autoencoder_dc.py",
"repo_id": "diffusers",
"token_count": 1183
} | 143 |
import inspect
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
@require_flax
class FlaxModelTesterMixin:
def test_output(self):
init_dict, inputs_dict = self.prepare_init_args_and_inputs_for_common()
mo... | diffusers/tests/models/test_modeling_common_flax.py/0 | {
"file_path": "diffusers/tests/models/test_modeling_common_flax.py",
"repo_id": "diffusers",
"token_count": 1124
} | 144 |
# 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_lumina.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_lumina.py",
"repo_id": "diffusers",
"token_count": 1481
} | 145 |
# 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/unets/test_unet_2d_blocks.py/0 | {
"file_path": "diffusers/tests/models/unets/test_unet_2d_blocks.py",
"repo_id": "diffusers",
"token_count": 5186
} | 146 |
# 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/allegro/test_allegro.py/0 | {
"file_path": "diffusers/tests/pipelines/allegro/test_allegro.py",
"repo_id": "diffusers",
"token_count": 6157
} | 147 |
import gc
import unittest
import numpy as np
import torch
from torch.backends.cuda import sdp_kernel
from diffusers import (
CMStochasticIterativeScheduler,
ConsistencyModelPipeline,
UNet2DModel,
)
from diffusers.utils.testing_utils import (
enable_full_determinism,
nightly,
require_torch_2,
... | diffusers/tests/pipelines/consistency_models/test_consistency_models.py/0 | {
"file_path": "diffusers/tests/pipelines/consistency_models/test_consistency_models.py",
"repo_id": "diffusers",
"token_count": 5052
} | 148 |
# 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/deepfloyd_if/test_if_inpainting.py/0 | {
"file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if_inpainting.py",
"repo_id": "diffusers",
"token_count": 2366
} | 149 |
# 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/kandinsky2_2/test_kandinsky_controlnet_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_controlnet_img2img.py",
"repo_id": "diffusers",
"token_count": 4802
} | 150 |
# 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_superresolution.py/0 | {
"file_path": "diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py",
"repo_id": "diffusers",
"token_count": 2028
} | 151 |
# 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.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_sd.py",
"repo_id": "diffusers",
"token_count": 6461
} | 152 |
# 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_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 5011
} | 153 |
# 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_xl/test_stable_diffusion_xl_k_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_k_diffusion.py",
"repo_id": "diffusers",
"token_count": 2103
} | 154 |
# 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/text_to_video_synthesis/test_text_to_video_zero_sdxl.py/0 | {
"file_path": "diffusers/tests/pipelines/text_to_video_synthesis/test_text_to_video_zero_sdxl.py",
"repo_id": "diffusers",
"token_count": 6902
} | 155 |
The tests here are adapted from [`transformers` tests](https://github.com/huggingface/transformers/blob/3a8eb74668e9c2cc563b2f5c62fac174797063e0/tests/quantization/torchao_integration/).
The benchmarks were run on a single H100. Below is `nvidia-smi`:
```bash
+---------------------------------------------------------... | diffusers/tests/quantization/torchao/README.md/0 | {
"file_path": "diffusers/tests/quantization/torchao/README.md",
"repo_id": "diffusers",
"token_count": 1315
} | 156 |
import torch
from diffusers import EulerDiscreteScheduler
from diffusers.utils.testing_utils import torch_device
from .test_schedulers import SchedulerCommonTest
class EulerDiscreteSchedulerTest(SchedulerCommonTest):
scheduler_classes = (EulerDiscreteScheduler,)
num_inference_steps = 10
def get_schedul... | diffusers/tests/schedulers/test_scheduler_euler.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_euler.py",
"repo_id": "diffusers",
"token_count": 4846
} | 157 |
# 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/schedulers/test_schedulers.py/0 | {
"file_path": "diffusers/tests/schedulers/test_schedulers.py",
"repo_id": "diffusers",
"token_count": 17209
} | 158 |
import gc
import unittest
import pytest
import torch
from diffusers import (
StableDiffusionUpscalePipeline,
)
from diffusers.utils import load_image
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
numpy_cosine_similarity_distance,
require_torch_accelerato... | diffusers/tests/single_file/test_stable_diffusion_upscale_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_upscale_single_file.py",
"repo_id": "diffusers",
"token_count": 1323
} | 159 |
import json
import logging
import os
from collections import defaultdict
from pathlib import Path
from huggingface_hub import HfApi
import diffusers
PATH_TO_REPO = Path(__file__).parent.parent.resolve()
ALWAYS_TEST_PIPELINE_MODULES = [
"controlnet",
"controlnet_flux",
"controlnet_sd3",
"stable_diffu... | diffusers/utils/fetch_torch_cuda_pipeline_test_matrix.py/0 | {
"file_path": "diffusers/utils/fetch_torch_cuda_pipeline_test_matrix.py",
"repo_id": "diffusers",
"token_count": 1041
} | 160 |
# Misc
.git
tmp
wandb
data
outputs
.vscode
rl
media
# Logging
logs
# HPC
nautilus/*.yaml
*.key
# Slurm
sbatch*.sh
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
... | lerobot/.dockerignore/0 | {
"file_path": "lerobot/.dockerignore",
"repo_id": "lerobot",
"token_count": 726
} | 161 |
FROM nvidia/cuda:12.4.1-base-ubuntu22.04
# Configure image
ARG PYTHON_VERSION=3.10
ARG DEBIAN_FRONTEND=noninteractive
# Install apt dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential cmake git git-lfs \
libglib2.0-0 libgl1-mesa-glx libegl1-mesa ffmpeg \
speech... | lerobot/docker/lerobot-gpu/Dockerfile/0 | {
"file_path": "lerobot/docker/lerobot-gpu/Dockerfile",
"repo_id": "lerobot",
"token_count": 391
} | 162 |
---
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{{ card_data }}
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Descriptio... | lerobot/lerobot/common/datasets/card_template.md/0 | {
"file_path": "lerobot/lerobot/common/datasets/card_template.md",
"repo_id": "lerobot",
"token_count": 258
} | 163 |
#!/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/_diffusion_policy_replay_buffer.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/_diffusion_policy_replay_buffer.py",
"repo_id": "lerobot",
"token_count": 10692
} | 164 |
#!/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/v2/convert_dataset_v1_to_v2.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/v2/convert_dataset_v1_to_v2.py",
"repo_id": "lerobot",
"token_count": 10590
} | 165 |
#!/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/policies/normalize.py/0 | {
"file_path": "lerobot/lerobot/common/policies/normalize.py",
"repo_id": "lerobot",
"token_count": 4883
} | 166 |
import abc
from dataclasses import dataclass
import draccus
@dataclass
class CameraConfig(draccus.ChoiceRegistry, abc.ABC):
@property
def type(self) -> str:
return self.get_choice_name(self.__class__)
@CameraConfig.register_subclass("opencv")
@dataclass
class OpenCVCameraConfig(CameraConfig):
"... | lerobot/lerobot/common/robot_devices/cameras/configs.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/cameras/configs.py",
"repo_id": "lerobot",
"token_count": 1392
} | 167 |
import platform
import time
def busy_wait(seconds):
if platform.system() == "Darwin":
# On Mac, `time.sleep` is not accurate and we need to use this while loop trick,
# but it consumes CPU cycles.
# TODO(rcadene): find an alternative: from python 11, time.sleep is precise
end_time ... | lerobot/lerobot/common/robot_devices/utils.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/utils.py",
"repo_id": "lerobot",
"token_count": 613
} | 168 |
"""
This script configure a single motor at a time to a given ID and baudrate.
Example of usage:
```bash
python lerobot/scripts/configure_motor.py \
--port /dev/tty.usbmodem585A0080521 \
--brand feetech \
--model sts3215 \
--baudrate 1000000 \
--ID 1
```
"""
import argparse
import time
def get_motor_bus_c... | lerobot/lerobot/scripts/configure_motor.py/0 | {
"file_path": "lerobot/lerobot/scripts/configure_motor.py",
"repo_id": "lerobot",
"token_count": 2848
} | 169 |
version https://git-lfs.github.com/spec/v1
oid sha256:3763d7bff7873cb40ea9d6f2f98d45fcf163addcd2809b6c59f273b6c3627ad5
size 85353
| lerobot/tests/data/save_dataset_to_safetensors/lerobot/xarm_lift_medium/frame_0.safetensors/0 | {
"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/xarm_lift_medium/frame_0.safetensors",
"repo_id": "lerobot",
"token_count": 67
} | 170 |
version https://git-lfs.github.com/spec/v1
oid sha256:e56a5d30778395534a06ad1742843700424614168fc26d1098558012a5df90c6
size 5104
| lerobot/tests/data/save_policy_to_safetensors/dora_aloha_real_act_aloha_real/actions.safetensors/0 | {
"file_path": "lerobot/tests/data/save_policy_to_safetensors/dora_aloha_real_act_aloha_real/actions.safetensors",
"repo_id": "lerobot",
"token_count": 60
} | 171 |
from lerobot.common.datasets.lerobot_dataset import LEROBOT_HOME
LEROBOT_TEST_DIR = LEROBOT_HOME / "_testing"
DUMMY_REPO_ID = "dummy/repo"
DUMMY_ROBOT_TYPE = "dummy_robot"
DUMMY_MOTOR_FEATURES = {
"action": {
"dtype": "float32",
"shape": (6,),
"names": ["shoulder_pan", "shoulder_lift", "elb... | lerobot/tests/fixtures/constants.py/0 | {
"file_path": "lerobot/tests/fixtures/constants.py",
"repo_id": "lerobot",
"token_count": 458
} | 172 |
#!/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/tests/test_datasets.py/0 | {
"file_path": "lerobot/tests/test_datasets.py",
"repo_id": "lerobot",
"token_count": 7112
} | 173 |
from torch.optim.lr_scheduler import LambdaLR
from lerobot.common.constants import SCHEDULER_STATE
from lerobot.common.optim.schedulers import (
CosineDecayWithWarmupSchedulerConfig,
DiffuserSchedulerConfig,
VQBeTSchedulerConfig,
load_scheduler_state,
save_scheduler_state,
)
def test_diffuser_sch... | lerobot/tests/test_schedulers.py/0 | {
"file_path": "lerobot/tests/test_schedulers.py",
"repo_id": "lerobot",
"token_count": 1111
} | 174 |
compute_environment: LOCAL_MACHINE
debug: false
deepspeed_config:
deepspeed_multinode_launcher: standard
offload_optimizer_device: none
offload_param_device: none
zero3_init_flag: true
zero3_save_16bit_model: true
zero_stage: 3
distributed_type: DEEPSPEED
downcast_bf16: 'no'
machine_rank: 0
main_training_fu... | open-r1/recipes/accelerate_configs/zero3.yaml/0 | {
"file_path": "open-r1/recipes/accelerate_configs/zero3.yaml",
"repo_id": "open-r1",
"token_count": 193
} | 175 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | open-r1/src/open_r1/generate.py/0 | {
"file_path": "open-r1/src/open_r1/generate.py",
"repo_id": "open-r1",
"token_count": 2696
} | 176 |
<!--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... | peft/docs/source/developer_guides/lora.md/0 | {
"file_path": "peft/docs/source/developer_guides/lora.md",
"repo_id": "peft",
"token_count": 7411
} | 177 |
PEFT_TYPE="boft"
BLOCK_NUM=8
BLOCK_SIZE=0
N_BUTTERFLY_FACTOR=1
ITER_NUM=50000
export RUN_NAME="${PEFT_TYPE}_${BLOCK_NUM}${BLOCK_SIZE}${N_BUTTERFLY_FACTOR}"
export MODEL_NAME="stabilityai/stable-diffusion-2-1"
# export MODEL_NAME="runwayml/stable-diffusion-v1-5"
export DATASET_NAME="oftverse/control-celeba-hq"
export... | peft/examples/boft_controlnet/eval.sh/0 | {
"file_path": "peft/examples/boft_controlnet/eval.sh",
"repo_id": "peft",
"token_count": 370
} | 178 |
<jupyter_start><jupyter_code>import os
import torch
from accelerate.logging import get_logger
from diffusers import StableDiffusionPipeline
from diffusers.utils import check_min_version
from peft import PeftModel
# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
check_min_v... | peft/examples/boft_dreambooth/dreambooth_inference.ipynb/0 | {
"file_path": "peft/examples/boft_dreambooth/dreambooth_inference.ipynb",
"repo_id": "peft",
"token_count": 1346
} | 179 |
<jupyter_start><jupyter_code>from transformers import AutoModelForCausalLM
from peft import get_peft_config, get_peft_model, PromptTuningInit, PromptTuningConfig, TaskType, PeftType
import torch
from datasets import load_dataset
import os
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
fr... | peft/examples/causal_language_modeling/peft_prompt_tuning_clm.ipynb/0 | {
"file_path": "peft/examples/causal_language_modeling/peft_prompt_tuning_clm.ipynb",
"repo_id": "peft",
"token_count": 4787
} | 180 |
# Copyright 2024-present 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 law or... | peft/examples/corda_finetuning/datautils.py/0 | {
"file_path": "peft/examples/corda_finetuning/datautils.py",
"repo_id": "peft",
"token_count": 4106
} | 181 |
<jupyter_start><jupyter_text>Fine-tune large models using 🤗 `peft` adapters, `transformers` & `bitsandbytes`In this tutorial we will cover how we can fine-tune large language models using the very recent `peft` library and `bitsandbytes` for loading large models in 8-bit.The fine-tuning method will rely on a recent me... | peft/examples/int8_training/Finetune_opt_bnb_peft.ipynb/0 | {
"file_path": "peft/examples/int8_training/Finetune_opt_bnb_peft.ipynb",
"repo_id": "peft",
"token_count": 2755
} | 182 |
<jupyter_start><jupyter_code>!pip install -q git+https://github.com/huggingface/transformers.git
!pip install -q git+https://github.com/huggingface/peft.git
!pip install -q git+https://github.com/huggingface/accelerate.git@main
!pip install huggingface_hub
!pip install bitsandbytes
!pip install SentencePiece
import os
... | peft/examples/multi_adapter_examples/PEFT_Multi_LoRA_Inference.ipynb/0 | {
"file_path": "peft/examples/multi_adapter_examples/PEFT_Multi_LoRA_Inference.ipynb",
"repo_id": "peft",
"token_count": 1344
} | 183 |
<jupyter_start><jupyter_text>PyTorch AO (torchao) with int8_dynamic_activation_int8_weight Imports<jupyter_code>import argparse
import os
import torch
from torch.optim import AdamW
from torch.utils.data import DataLoader
from peft import (
get_peft_config,
get_peft_model,
get_peft_model_state_dict,
se... | peft/examples/sequence_classification/LoRA-torchao-8bit-dynamic-activation.ipynb/0 | {
"file_path": "peft/examples/sequence_classification/LoRA-torchao-8bit-dynamic-activation.ipynb",
"repo_id": "peft",
"token_count": 1774
} | 184 |
from mistralrs import ChatCompletionRequest, Runner, Which
runner = Runner(
which=Which.XLora(
tok_model_id=None, # Automatically determine from ordering file
model_id=..., # Model ID of the base model (local path of HF model ID)
xlora_model_id=..., # X-LoRA Model ID of the base model (... | peft/examples/xlora/xlora_inference_mistralrs.py/0 | {
"file_path": "peft/examples/xlora/xlora_inference_mistralrs.py",
"repo_id": "peft",
"token_count": 356
} | 185 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/adaption_prompt/utils.py/0 | {
"file_path": "peft/src/peft/tuners/adaption_prompt/utils.py",
"repo_id": "peft",
"token_count": 2422
} | 186 |
# Copyright 2024-present 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 law or... | peft/src/peft/tuners/fourierft/config.py/0 | {
"file_path": "peft/src/peft/tuners/fourierft/config.py",
"repo_id": "peft",
"token_count": 4483
} | 187 |
# Copyright 2024-present 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 law or... | peft/src/peft/tuners/lora/eva.py/0 | {
"file_path": "peft/src/peft/tuners/lora/eva.py",
"repo_id": "peft",
"token_count": 13583
} | 188 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/oft/model.py/0 | {
"file_path": "peft/src/peft/tuners/oft/model.py",
"repo_id": "peft",
"token_count": 6866
} | 189 |
# Copyright 2024-present 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 law or... | peft/src/peft/utils/hotswap.py/0 | {
"file_path": "peft/src/peft/utils/hotswap.py",
"repo_id": "peft",
"token_count": 10145
} | 190 |
# Copyright 2023-present 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 law or... | peft/tests/test_config.py/0 | {
"file_path": "peft/tests/test_config.py",
"repo_id": "peft",
"token_count": 8059
} | 191 |
# Copyright 2025-present 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 law or... | peft/tests/test_mapping.py/0 | {
"file_path": "peft/tests/test_mapping.py",
"repo_id": "peft",
"token_count": 851
} | 192 |
#!/bin/bash
NUM_PROC=$1
shift
torchrun --nproc_per_node=$NUM_PROC train.py "$@"
| pytorch-image-models/distributed_train.sh/0 | {
"file_path": "pytorch-image-models/distributed_train.sh",
"repo_id": "pytorch-image-models",
"token_count": 37
} | 193 |
# Deep Layer Aggregation
Extending “shallow” skip connections, **Dense Layer Aggregation (DLA)** incorporates more depth and sharing. The authors introduce two structures for deep layer aggregation (DLA): iterative deep aggregation (IDA) and hierarchical deep aggregation (HDA). These structures are expressed through ... | pytorch-image-models/hfdocs/source/models/dla.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/dla.mdx",
"repo_id": "pytorch-image-models",
"token_count": 6760
} | 194 |
# (Tensorflow) EfficientNet Lite
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method uniformly ... | pytorch-image-models/hfdocs/source/models/tf-efficientnet-lite.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/tf-efficientnet-lite.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3372
} | 195 |
#!/usr/bin/env python3
"""PyTorch Inference Script
An example inference script that outputs top-k class ids for images in a folder into a csv.
Hacked together by / Copyright 2020 Ross Wightman (https://github.com/rwightman)
"""
import argparse
import json
import logging
import os
import time
from contextlib import su... | pytorch-image-models/inference.py/0 | {
"file_path": "pytorch-image-models/inference.py",
"repo_id": "pytorch-image-models",
"token_count": 7092
} | 196 |
""" Dataset Factory
Hacked together by / Copyright 2021, Ross Wightman
"""
import os
from typing import Optional
from torchvision.datasets import CIFAR100, CIFAR10, MNIST, KMNIST, FashionMNIST, ImageFolder
try:
from torchvision.datasets import Places365
has_places365 = True
except ImportError:
has_places3... | pytorch-image-models/timm/data/dataset_factory.py/0 | {
"file_path": "pytorch-image-models/timm/data/dataset_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 4027
} | 197 |
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