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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
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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
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import argparse import sys sys.path.append(".") from base_classes import ControlNetBenchmark, ControlNetSDXLBenchmark # noqa: E402 if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument( "--ckpt", type=str, default="lllyasviel/sd-controlnet-canny", ...
diffusers/benchmarks/benchmark_controlnet.py/0
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<!--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/lora.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/api/models/autoencoderkl_cogvideox.md/0
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<!--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/aura_flow.md/0
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<!--Copyright 2024 The Intel Labs Team Authors and 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/docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/optimization/habana.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/quicktour.md/0
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<!--Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/en/training/t2i_adapters.md/0
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<!--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/controlnet.md/0
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<!--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/omnigen.md/0
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<!--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/unconditional_image_generation.md/0
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# 학습을 위한 데이터셋 만들기 [Hub](https://huggingface.co/datasets?task_categories=task_categories:text-to-image&sort=downloads) 에는 모델 교육을 위한 많은 데이터셋이 있지만, 관심이 있거나 사용하고 싶은 데이터셋을 찾을 수 없는 경우 🤗 [Datasets](https://huggingface.co/docs/datasets) 라이브러리를 사용하여 데이터셋을 만들 수 있습니다. 데이터셋 구조는 모델을 학습하려는 작업에 따라 달라집니다. 가장 기본적인 데이터셋 구조는 unconditio...
diffusers/docs/source/ko/training/create_dataset.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
diffusers/docs/source/ko/using-diffusers/diffedit.md/0
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<!--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/write_own_pipeline.md/0
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import inspect from typing import List, Optional, Union import torch from torch import nn from torch.nn import functional as F from torchvision import transforms from transformers import CLIPImageProcessor, CLIPModel, CLIPTextModel, CLIPTokenizer from diffusers import ( AutoencoderKL, DDIMScheduler, DPMSo...
diffusers/examples/community/clip_guided_stable_diffusion.py/0
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# Copyright 2024 Stanford University Team and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #...
diffusers/examples/community/latent_consistency_img2img.py/0
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#!/usr/bin/env python3 import torch from diffusers import DiffusionPipeline class UnetSchedulerOneForwardPipeline(DiffusionPipeline): def __init__(self, unet, scheduler): super().__init__() self.register_modules(unet=unet, scheduler=scheduler) def __call__(self): image = torch.randn...
diffusers/examples/community/one_step_unet.py/0
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# Copyright 2024 Jingyang Zhang 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/examples/community/pipeline_stable_diffusion_boxdiff.py/0
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# 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/sd_text2img_k_diffusion.py/0
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# Based on stable_diffusion_xl_reference.py and stable_diffusion_controlnet_reference.py import inspect from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import PIL.Image import torch from diffusers import StableDiffusionXLControlNetPipeline from diffusers.callbacks import Multi...
diffusers/examples/community/stable_diffusion_xl_controlnet_reference.py/0
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#!/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/consistency_distillation/train_lcm_distill_sd_wds.py/0
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#!/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/controlnet/train_controlnet_sdxl.py/0
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#!/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/dreambooth/train_dreambooth_lora_flux.py/0
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# coding=utf-8 # Copyright 2024 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py/0
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# AutoencoderKL training example ## Installing the dependencies Before running the scripts, make sure to install the library's training dependencies: **Important** To make sure you can successfully run the latest versions of the example scripts, we highly recommend **installing from source** and keeping the install...
diffusers/examples/research_projects/autoencoderkl/README.md/0
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<jupyter_start><jupyter_code>%load_ext autoreload %autoreload 2 import torch from diffusers import StableDiffusionGLIGENTextImagePipeline, StableDiffusionGLIGENPipeline import os import diffusers from diffusers import ( AutoencoderKL, DDPMScheduler, UNet2DConditionModel, UniPCMultistepScheduler, Eu...
diffusers/examples/research_projects/gligen/demo.ipynb/0
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# IP Adapter Training Example [IP Adapter](https://arxiv.org/abs/2308.06721) is a novel approach designed to enhance text-to-image models such as Stable Diffusion by enabling them to generate images based on image prompts rather than text prompts alone. Unlike traditional methods that rely solely on complex text prom...
diffusers/examples/research_projects/ip_adapter/README.md/0
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""" The main idea for this code is to provide a way for users to not need to bother with the hassle of multiple tokens for a concept by typing a photo of <concept>_0 <concept>_1 ... and so on and instead just do a photo of <concept> which gets translated to the above. This needs to work for both inference and training....
diffusers/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py/0
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from typing import Any, Dict, Optional import torch from torch import nn from diffusers.configuration_utils import ConfigMixin, register_to_config from diffusers.models import PixArtTransformer2DModel from diffusers.models.attention import BasicTransformerBlock from diffusers.models.modeling_outputs import Transforme...
diffusers/examples/research_projects/pixart/controlnet_pixart_alpha.py/0
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<jupyter_start><jupyter_text>Running Stable Diffusion 3 (SD3) DreamBooth LoRA training under 16GB GPU VRAM Install Dependencies<jupyter_code>!pip install -q -U git+https://github.com/huggingface/diffusers !pip install -q -U \ transformers \ accelerate \ wandb \ bitsandbytes \ peft<jupyter_output><e...
diffusers/examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb/0
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import asyncio import logging import os import random import tempfile import traceback import uuid import aiohttp import torch from fastapi import FastAPI, HTTPException from fastapi.middleware.cors import CORSMiddleware from fastapi.staticfiles import StaticFiles from pydantic import BaseModel from diffusers.pipelin...
diffusers/examples/server/server.py/0
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## Training an VQGAN VAE VQVAEs were first introduced in [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) and was combined with a GAN in the paper [Taming Transformers for High-Resolution Image Synthesis](https://arxiv.org/abs/2012.09841). The basic idea of a VQVAE is it's a type of a variati...
diffusers/examples/vqgan/README.md/0
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import argparse from typing import Any, Dict import torch from transformers import T5EncoderModel, T5Tokenizer from diffusers import ( AutoencoderKLCogVideoX, CogVideoXDDIMScheduler, CogVideoXImageToVideoPipeline, CogVideoXPipeline, CogVideoXTransformer3DModel, ) def reassign_query_key_value_inp...
diffusers/scripts/convert_cogvideox_to_diffusers.py/0
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import argparse from typing import Any, Dict import torch from accelerate import init_empty_weights from transformers import AutoModel, AutoTokenizer, CLIPTextModel, CLIPTokenizer from diffusers import ( AutoencoderKLHunyuanVideo, FlowMatchEulerDiscreteScheduler, HunyuanVideoPipeline, HunyuanVideoTran...
diffusers/scripts/convert_hunyuan_video_to_diffusers.py/0
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#!/usr/bin/env python3 import argparse import os import jax as jnp import numpy as onp import torch import torch.nn as nn from music_spectrogram_diffusion import inference from t5x import checkpoints from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline from diffusers.pipelines.spectrogr...
diffusers/scripts/convert_music_spectrogram_to_diffusers.py/0
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# Run this script to convert the Stable Cascade model weights to a diffusers pipeline. import argparse from contextlib import nullcontext import torch from safetensors.torch import load_file from transformers import ( AutoTokenizer, CLIPConfig, CLIPImageProcessor, CLIPTextModelWithProjection, CLIPV...
diffusers/scripts/convert_stable_cascade.py/0
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import random import torch from huggingface_hub import HfApi from diffusers import UNet2DModel api = HfApi() results = {} # fmt: off results["google_ddpm_cifar10_32"] = torch.tensor([ -0.7515, -1.6883, 0.2420, 0.0300, 0.6347, 1.3433, -1.1743, -3.7467, 1.2342, -2.2485, 0.4636, 0.8076, -0.7991, 0.3969, 0.849...
diffusers/scripts/generate_logits.py/0
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# 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/hooks/group_offloading.py/0
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# 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
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# 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
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# 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
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# 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/models/modeling_flax_utils.py/0
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# 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/transformers/pixart_transformer_2d.py/0
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# 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/transformers/transformer_temporal.py/0
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# 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/models/unets/uvit_2d.py/0
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# 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/animatediff/pipeline_animatediff_controlnet.py/0
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# 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/blip_diffusion/modeling_blip2.py/0
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import importlib.util import os import cv2 import numpy as np import torch from PIL import Image, ImageOps from torchvision.transforms import InterpolationMode from torchvision.transforms.functional import normalize, resize from ...utils import get_logger, load_image logger = get_logger(__name__) _insightface_avai...
diffusers/src/diffusers/pipelines/consisid/consisid_utils.py/0
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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 = { "timesteps": [ "fast27_timesteps", ...
diffusers/src/diffusers/pipelines/deepfloyd_if/__init__.py/0
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# Copyright 2022 The Music Spectrogram Diffusion Authors. # 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...
diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/notes_encoder.py/0
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# 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/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py/0
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# 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/kandinsky/pipeline_kandinsky_img2img.py/0
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import inspect from typing import Callable, Dict, List, Optional, Union import numpy as np import PIL import PIL.Image import torch from transformers import T5EncoderModel, T5Tokenizer from ...loaders import StableDiffusionLoraLoaderMixin from ...models import Kandinsky3UNet, VQModel from ...schedulers import DDPMSch...
diffusers/src/diffusers/pipelines/kandinsky3/pipeline_kandinsky3_img2img.py/0
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import inspect import math from itertools import repeat from typing import Any, Callable, Dict, List, Optional, Tuple, Union import torch import torch.nn.functional as F from packaging import version from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer from ...configuration_utils import FrozenDic...
diffusers/src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py/0
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# Copyright 2024 Genmo 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 by...
diffusers/src/diffusers/pipelines/mochi/pipeline_mochi.py/0
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# 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/pag/pipeline_pag_pixart_sigma.py/0
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# 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/pipelines/pipeline_flax_utils.py/0
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# 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/renderer.py/0
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# 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_onnx_stable_diffusion_img2img.py/0
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# 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/stable_unclip_image_normalizer.py/0
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# Copyright 2024 Kakao 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 requi...
diffusers/src/diffusers/pipelines/unclip/pipeline_unclip_image_variation.py/0
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# 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 required by appl...
diffusers/src/diffusers/quantizers/auto.py/0
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import math from dataclasses import dataclass from typing import List, Optional, Tuple, Union import torch from ..configuration_utils import ConfigMixin, register_to_config from ..utils import BaseOutput from .scheduling_utils import SchedulerMixin def gumbel_noise(t, generator=None): device = generator.device ...
diffusers/src/diffusers/schedulers/scheduling_amused.py/0
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# Copyright 2024 TSAIL Team and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
diffusers/src/diffusers/schedulers/scheduling_dpmsolver_multistep_flax.py/0
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# 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 required by appl...
diffusers/src/diffusers/utils/__init__.py/0
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# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import DummyObject, requires_backends class AllegroPipeline(metaclass=DummyObject): _backends = ["torch", "transformers"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch", "transformers"]) ...
diffusers/src/diffusers/utils/dummy_torch_and_transformers_objects.py/0
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# 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
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# 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
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# 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_models_unet_1d.py/0
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# 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_hub_utils.py/0
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import unittest import numpy as np import torch from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer import diffusers from diffusers import ( AnimateDiffSDXLPipeline, AutoencoderKL, DDIMScheduler, MotionAdapter, UNet2DConditionModel, UNetMotionMode...
diffusers/tests/pipelines/animatediff/test_animatediff_sdxl.py/0
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# 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/controlnet/test_controlnet_sdxl_img2img.py/0
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import unittest import numpy as np import torch from PIL import Image from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxControlImg2ImgPipeline, FluxTransformer2DModel, ) from ...
diffusers/tests/pipelines/flux/test_pipeline_flux_control_img2img.py/0
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# 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/kandinsky/test_kandinsky_combined.py/0
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# 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_controlnet_sd.py/0
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# 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/pipelines/shap_e/test_shap_e.py/0
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# 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_stable_diffusion_instruction_pix2pix.py/0
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# 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/test_pipelines_auto.py/0
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# 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/wuerstchen/test_wuerstchen_combined.py/0
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# 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/tests/schedulers/test_scheduler_ddpm_parallel.py/0
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import torch from diffusers import LMSDiscreteScheduler from diffusers.utils.testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class LMSDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (LMSDiscreteScheduler,) num_inference_steps = 10 def get_scheduler_con...
diffusers/tests/schedulers/test_scheduler_lms.py/0
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# 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_sd_cascade_unet_single_file.py/0
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# 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/utils/check_doc_toc.py/0
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# coding=utf-8 # Copyright 2021 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/release.py/0
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This tutorial explains how to use [Stretch 3](https://hello-robot.com/stretch-3-product) with LeRobot. ## Setup Familiarize yourself with Stretch by following its [tutorials](https://docs.hello-robot.com/0.3/getting_started/hello_robot/) (recommended). To use LeRobot on Stretch, 3 options are available: - [tethered ...
lerobot/examples/8_use_stretch.md/0
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#!/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/pusht_zarr_format.py/0
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#!/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/optim/optimizers.py/0
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from typing import List, Optional, Union import torch import torch.version from pytest import Cache from torch import nn from transformers import ( AutoConfig, GemmaForCausalLM, PaliGemmaForConditionalGeneration, PretrainedConfig, PreTrainedModel, ) from transformers.models.auto import CONFIG_MAPPI...
lerobot/lerobot/common/policies/pi0/paligemma_with_expert.py/0
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#!/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/utils.py/0
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#!/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/scripts/train.py/0
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lerobot/tests/data/save_dataset_to_safetensors/lerobot/aloha_sim_insertion_human/frame_498.safetensors/0
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lerobot/tests/data/save_policy_to_safetensors/aloha_act/actions.safetensors/0
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lerobot/tests/data/save_policy_to_safetensors/xarm_tdmpcuse_mpc/actions.safetensors/0
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import enum import numpy as np class stream(enum.Enum): # noqa: N801 color = 0 depth = 1 class format(enum.Enum): # noqa: N801 rgb8 = 0 z16 = 1 class config: # noqa: N801 def enable_device(self, device_id: str): self.device_enabled = device_id def enable_stream(self, stream_ty...
lerobot/tests/mock_pyrealsense2.py/0
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""" Tests for physical motors and their mocked versions. If the physical motors are not connected to the computer, or not working, the test will be skipped. Example of running a specific test: ```bash pytest -sx tests/test_motors.py::test_find_port pytest -sx tests/test_motors.py::test_motors_bus ``` Example of runni...
lerobot/tests/test_motors.py/0
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# To start the training, run the following command: # sbatch -N 4 --job-name=mistral_sft slurm/train.slurm Mistral-Small-24B-Instruct-2501 sft numina zero3 model_name_or_path: mistralai/Mistral-Small-24B-Instruct-2501 model_revision: main torch_dtype: bfloat16 attn_implementation: flash_attention_2 # Data training ar...
open-r1/recipes/Mistral-Small-24B-Instruct-2501/sft/config_openr1_math.yaml/0
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#!/bin/bash #SBATCH --job-name=r1-vllm #SBATCH --partition=hopper-prod #SBATCH --qos=normal #SBATCH --nodes=4 #SBATCH --gpus-per-node=8 #SBATCH --exclusive #SBATCH --output=./logs/%x_%j_%n.out #SBATCH --error=./logs/%x_%j_%n.err #SBATCH --time=7-00:00:00 #SBATCH --ntasks-per-node=1 set -exuo pipefail MODEL_PATH="deep...
open-r1/slurm/experimental/serve_r1_vllm.slurm/0
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<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # Fully Sharded Data Parallel [Fully sharded data parallel](https://pytorch.org/docs/stable/fsdp.html) (FSDP) is developed for distributed training ...
peft/docs/source/accelerate/fsdp.md/0
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