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<!--版权所有 2025 The HuggingFace Team。保留所有权利。 根据 Apache 许可证 2.0 版本("许可证")授权;除非符合许可证,否则不得使用此文件。您可以在以下网址获取许可证副本: http://www.apache.org/licenses/LICENSE-2.0 除非适用法律要求或书面同意,根据许可证分发的软件按"原样"分发,无任何明示或暗示的担保或条件。有关许可证的具体语言,请参阅许可证中的权限和限制。 --> # 如何使用 Core ML 运行 Stable Diffusion [Core ML](https://developer.apple.com/documentation/...
diffusers/docs/source/zh/optimization/coreml.md/0
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<!--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 applicable law or agreed...
diffusers/docs/source/zh/quicktour.md/0
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# Advanced diffusion training examples ## Train Dreambooth LoRA with Stable Diffusion XL > [!TIP] > 💡 This example follows the techniques and recommended practices covered in the blog post: [LoRA training scripts of the world, unite!](https://huggingface.co/blog/sdxl_lora_advanced_script). Make sure to check it out b...
diffusers/examples/advanced_diffusion_training/README.md/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/cogview4-control/train_control_cogview4.py/0
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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
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# Copyright 2025 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
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import inspect import os import random import warnings from typing import Any, Callable, Dict, List, Optional, Tuple, Union import matplotlib.pyplot as plt import torch import torch.nn.functional as F from transformers import CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer from diffusers.image_processor imp...
diffusers/examples/community/pipeline_demofusion_sdxl.py/0
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# Copyright 2025 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 2025 The Wan 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 requ...
diffusers/examples/community/pipeline_stg_wan.py/0
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# 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...
diffusers/examples/community/stable_diffusion_ipex.py/0
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# Latent Consistency Distillation Example: [Latent Consistency Models (LCMs)](https://huggingface.co/papers/2310.04378) is a method to distill a latent diffusion model to enable swift inference with minimal steps. This example demonstrates how to use latent consistency distillation to distill stable-diffusion-v1.5 for...
diffusers/examples/consistency_distillation/README.md/0
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# DreamBooth training example for Lumina2 [DreamBooth](https://huggingface.co/papers/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:...
diffusers/examples/dreambooth/README_lumina2.md/0
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# coding=utf-8 # Copyright 2025 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/examples/dreambooth/test_dreambooth_lora_edm.py/0
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# coding=utf-8 # Copyright 2025 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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# AnyTextPipeline Project page: https://aigcdesigngroup.github.io/homepage_anytext "AnyText comprises a diffusion pipeline with two primary elements: an auxiliary latent module and a text embedding module. The former uses inputs like text glyph, position, and masked image to generate latent features for text generati...
diffusers/examples/research_projects/anytext/README.md/0
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import argparse import math import os from pathlib import Path import colossalai import torch import torch.nn.functional as F import torch.utils.checkpoint from colossalai.context.parallel_mode import ParallelMode from colossalai.core import global_context as gpc from colossalai.logging import disable_existing_loggers...
diffusers/examples/research_projects/colossalai/train_dreambooth_colossalai.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/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py/0
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# Stable Diffusion text-to-image fine-tuning This extended LoRA training script was authored by [haofanwang](https://github.com/haofanwang). This is an experimental LoRA extension of [this example](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora.py). We further support...
diffusers/examples/research_projects/lora/README.md/0
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# Stable Diffusion text-to-image fine-tuning The `train_text_to_image.py` script shows how to fine-tune stable diffusion model on your own dataset. ___Note___: ___This script is experimental. The script fine-tunes the whole model and often times the model overfits and runs into issues like catastrophic forgetting. I...
diffusers/examples/research_projects/onnxruntime/text_to_image/README.md/0
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# PromptDiffusion Pipeline From the project [page](https://zhendong-wang.github.io/prompt-diffusion.github.io/) "With a prompt consisting of a task-specific example pair of images and text guidance, and a new query image, Prompt Diffusion can comprehend the desired task and generate the corresponding output image on ...
diffusers/examples/research_projects/promptdiffusion/README.md/0
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# Training SANA Sprint Diffuser This README explains how to use the provided bash script commands to download a pre-trained teacher diffuser model and train it on a specific dataset, following the [SANA Sprint methodology](https://huggingface.co/papers/2503.09641). ## Setup ### 1. Define the local paths Set a vari...
diffusers/examples/research_projects/sana/README.md/0
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# Show best practices for SDXL JAX import time import jax import jax.numpy as jnp import numpy as np from flax.jax_utils import replicate # Let's cache the model compilation, so that it doesn't take as long the next time around. from jax.experimental.compilation_cache import compilation_cache as cc from diffusers im...
diffusers/examples/research_projects/sdxl_flax/sdxl_single.py/0
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## Textual Inversion fine-tuning example [Textual inversion](https://huggingface.co/papers/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples. The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable d...
diffusers/examples/textual_inversion/README.md/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/vqgan/test_vqgan.py/0
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""" Convert a CogView4 checkpoint from Megatron to the Diffusers format. Example usage: python scripts/convert_cogview4_to_diffusers.py \ --transformer_checkpoint_path 'your path/cogview4_6b/mp_rank_00/model_optim_rng.pt' \ --vae_checkpoint_path 'your path/cogview4_6b/imagekl_ch16.pt' \ --o...
diffusers/scripts/convert_cogview4_to_diffusers_megatron.py/0
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import argparse import os import torch from huggingface_hub import snapshot_download from safetensors.torch import load_file from transformers import AutoTokenizer from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, OmniGenPipeline, OmniGenTransformer2DModel def main(args): # checkpoint from h...
diffusers/scripts/convert_omnigen_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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""" This script demonstrates how to extract a LoRA checkpoint from a fully finetuned model with the CogVideoX model. To make it work for other models: * Change the model class. Here we use `CogVideoXTransformer3DModel`. For Flux, it would be `FluxTransformer2DModel`, for example. (TODO: more reason to add `AutoModel`...
diffusers/scripts/extract_lora_from_model.py/0
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# 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...
diffusers/src/diffusers/experimental/rl/value_guided_sampling.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/first_block_cache.py/0
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# 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...
diffusers/src/diffusers/loaders/single_file_model.py/0
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# 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...
diffusers/src/diffusers/models/auto_model.py/0
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# Copyright 2025 Ollin Boer Bohan 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/models/autoencoders/autoencoder_tiny.py/0
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# Copyright 2025 Stability AI, The HuggingFace Team and The InstantX 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-...
diffusers/src/diffusers/models/controlnets/controlnet_sd3.py/0
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# coding=utf-8 # Copyright 2025 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/src/diffusers/models/normalization.py/0
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# 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...
diffusers/src/diffusers/models/transformers/t5_film_transformer.py/0
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# Copyright 2025 OmniGen 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 requ...
diffusers/src/diffusers/models/transformers/transformer_omnigen.py/0
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# Copyright 2025 Alibaba DAMO-VILAB and The HuggingFace Team. All rights reserved. # Copyright 2025 The ModelScope 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.apa...
diffusers/src/diffusers/models/unets/unet_3d_condition.py/0
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# 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...
diffusers/src/diffusers/modular_pipelines/flux/encoders.py/0
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# 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...
diffusers/src/diffusers/modular_pipelines/wan/denoise.py/0
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# 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...
diffusers/src/diffusers/pipelines/blip_diffusion/modeling_blip2.py/0
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# Copyright 2025 Salesforce.com, inc. # 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/LICENS...
diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py/0
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from typing import TYPE_CHECKING from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule _import_structure = { "mel": ["Mel"], "pipeline_audio_diffusion": ["AudioDiffusionPipeline"], } if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: from .mel import Mel from .pipeline_audio_diffusion import AudioDiffusi...
diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/__init__.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 = {} try: if not (is_transformers_available() and i...
diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/__init__.py/0
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# Copyright 2025 Microsoft 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 require...
diffusers/src/diffusers/pipelines/deprecated/vq_diffusion/pipeline_vq_diffusion.py/0
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# Copyright 2025 The Framepack Team, The HunyuanVideo 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/license...
diffusers/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_framepack.py/0
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# 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...
diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py", "repo_id": "diffusers", "token_count": 18863 }
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# Copyright 2025 ChatGLM3-6B Model Team, Kwai-Kolors 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...
diffusers/src/diffusers/pipelines/kolors/tokenizer.py/0
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# Copyright 2025 Lightricks 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/ltx/pipeline_ltx_condition.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_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, is_transformers_version, ) _dummy_objects = {} _import_structure = {} try: if not (is_tr...
diffusers/src/diffusers/pipelines/stable_audio/__init__.py/0
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import numpy as np import torch from ...utils import is_invisible_watermark_available if is_invisible_watermark_available(): from imwatermark import WatermarkEncoder # Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L...
diffusers/src/diffusers/pipelines/stable_diffusion_xl/watermark.py/0
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# Copyright 2025 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/text_proj.py/0
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# Copyright (c) 2022 Dominic Rampas MIT License # 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/licen...
diffusers/src/diffusers/pipelines/wuerstchen/modeling_paella_vq_model.py/0
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# Copyright 2025 The HuggingFace Team and City96. 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/src/diffusers/quantizers/gguf/utils.py/0
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# Copyright 2025 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_cosine_dpmsolver_multistep.py/0
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# Copyright 2025 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_lms_discrete_flax.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 OnnxStableDiffusionImg2ImgPipeline(metaclass=DummyObject): _backends = ["torch", "transformers", "onnx"] def __init__(self, *args, **kwargs): requires_backends(self, ["...
diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py/0
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# coding=utf-8 # Copyright 2025 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/src/diffusers/utils/remote_utils.py/0
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# Copyright 2025 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/lora/test_lora_layers_cogvideox.py/0
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# coding=utf-8 # Copyright 2025 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_vq.py/0
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# coding=utf-8 # Copyright 2025 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_cogvideox.py/0
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# coding=utf-8 # Copyright 2025 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_omnigen.py/0
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# coding=utf-8 # Copyright 2025 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
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# coding=utf-8 # Copyright 2025 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
diffusers/tests/others/test_utils.py/0
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import unittest import numpy as np import PIL.Image import torch from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, FasterCacheConfig, FlowMatchEulerDiscreteScheduler, FluxKontextPipeline, FluxTransformer2DMod...
diffusers/tests/pipelines/flux/test_pipeline_flux_kontext.py/0
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# coding=utf-8 # Copyright 2025 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_img2img.py/0
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# coding=utf-8 # Copyright 2025 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/kolors/test_kolors.py/0
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# These are canonical sets of parameters for different types of pipelines. # They are set on subclasses of `PipelineTesterMixin` as `params` and # `batch_params`. # # If a pipeline's set of arguments has minor changes from one of the common sets # of arguments, do not make modifications to the existing common sets of a...
diffusers/tests/pipelines/pipeline_params.py/0
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# coding=utf-8 # Copyright 2025 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_upscale.py/0
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# Copyright 2025 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/wan/test_wan.py/0
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# coding=utf-8 # Copyright 2025 The HuggingFace Team 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 clone of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
diffusers/tests/quantization/test_torch_compile_utils.py/0
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import torch from diffusers import SASolverScheduler from diffusers.utils.testing_utils import require_torchsde, torch_device from .test_schedulers import SchedulerCommonTest @require_torchsde class SASolverSchedulerTest(SchedulerCommonTest): scheduler_classes = (SASolverScheduler,) forward_default_kwargs =...
diffusers/tests/schedulers/test_scheduler_sasolver.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_copies.py/0
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# coding=utf-8 # 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 requir...
diffusers/utils/notify_slack_about_release.py/0
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# How to contribute to 🤗 LeRobot? Everyone is welcome to contribute, and we value everybody's contribution. Code is thus not the only way to help the community. Answering questions, helping others, reaching out and improving the documentations are immensely valuable to the community. It also helps us if you spread t...
lerobot/CONTRIBUTING.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/src/lerobot/cameras/camera.py/0
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# 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 # # Unless required by appl...
lerobot/src/lerobot/datasets/backward_compatibility.py/0
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# 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 # # Unless required by appl...
lerobot/src/lerobot/datasets/v21/convert_stats.py/0
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# 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 # # Unless required by appl...
lerobot/src/lerobot/motors/feetech/feetech.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...
lerobot/src/lerobot/policies/smolvla/configuration_smolvla.py/0
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#!/usr/bin/env python # 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 # # ...
lerobot/src/lerobot/processor/rename_processor.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/src/lerobot/robots/koch_follower/koch_follower.py/0
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# !/usr/bin/env python # 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 # #...
lerobot/src/lerobot/scripts/rl/gym_manipulator.py/0
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#!/usr/bin/env python # 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 # # ...
lerobot/src/lerobot/teleoperators/bi_so100_leader/bi_so100_leader.py/0
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--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards # prettier-ignore {{card_data}} --- # Model Card for {{ model_name | default("Model ID", true) }} <!-- Provide a quick summary of ...
lerobot/src/lerobot/templates/lerobot_modelcard_template.md/0
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#!/usr/bin/env python # 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 # # ...
lerobot/src/lerobot/utils/queue.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/tests/artifacts/datasets/save_dataset_to_safetensors.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/tests/artifacts/policies/save_policy_to_safetensors.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/tests/conftest.py/0
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# 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 # # Unless required by appl...
lerobot/tests/fixtures/optimizers.py/0
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import torch from lerobot.processor.pipeline import ( RobotProcessor, TransitionKey, _default_batch_to_transition, _default_transition_to_batch, ) def _dummy_batch(): """Create a dummy batch using the new format with observation.* and next.* keys.""" return { "observation.image.left":...
lerobot/tests/processor/test_batch_conversion.py/0
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#!/usr/bin/env python # 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 # # ...
lerobot/tests/utils/test_process.py/0
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# Model arguments model_name_or_path: Qwen/Qwen2.5-Coder-7B-Instruct model_revision: main torch_dtype: bfloat16 attn_implementation: flash_attention_2 # Data training arguments dataset_name: open-r1/codeforces dataset_prompt_column: prompt dataset_config: verifiable-prompts dataset_test_split: test dataset_train_split:...
open-r1/recipes/Qwen2.5-Coder-7B-Instruct/grpo/config_codeforces.yaml/0
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# 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/scripts/pass_rate_filtering/compute_pass_rate.py/0
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#!/bin/bash #SBATCH --job-name=r1-server #SBATCH --partition=hopper-prod #SBATCH --qos=normal #SBATCH --nodes=2 #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="de...
open-r1/slurm/serve_r1.slurm/0
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from collections import defaultdict from functools import lru_cache from datasets import load_dataset def add_includes(code: str, problem_id: str) -> str: """ Fix common compilation errors for IOI problems. """ if not code: return code # has most of the useful functions code_header = ...
open-r1/src/open_r1/utils/competitive_programming/ioi_utils.py/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...
peft/docs/source/conceptual_guides/oft.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...
peft/docs/source/package_reference/auto_class.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...
peft/docs/source/package_reference/merge_utils.md/0
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