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<!--- Copyright 2022 - 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 o...
diffusers/README.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/image_processor.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/autoencoder_tiny.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 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/dance_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/api/pipelines/stable_diffusion/stable_diffusion_2.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/schedulers/consistency_decoder.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/schedulers/ipndm.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/neuron.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/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/training/unconditional_training.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/depth2img.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/push_to_hub.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/ja/index.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/optimization/fp16.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/training/instructpix2pix.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/loading.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/pt/quicktour.md/0
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## Amused training Amused can be finetuned on simple datasets relatively cheaply and quickly. Using 8bit optimizers, lora, and gradient accumulation, amused can be finetuned with as little as 5.5 GB. Here are a set of examples for finetuning amused on some relatively simple datasets. These training recipies are aggres...
diffusers/examples/amused/README.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 applicabl...
diffusers/examples/community/dps_pipeline.py/0
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import inspect import re from typing import Any, Callable, Dict, List, Optional, Union import numpy as np import PIL.Image import torch from packaging import version from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer from diffusers import DiffusionPipeline from diffusers.configuration_utils imp...
diffusers/examples/community/lpw_stable_diffusion.py/0
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# Copyright 2024 FABRIC 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 re...
diffusers/examples/community/pipeline_fabric.py/0
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# Inspired by: https://github.com/haofanwang/ControlNet-for-Diffusers/ import inspect from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import PIL.Image import torch from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer from diffusers import AutoencoderKL, Co...
diffusers/examples/community/stable_diffusion_controlnet_img2img.py/0
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import inspect from typing import List, Optional, Union import PIL.Image import torch from torch.nn import functional as F from transformers import ( CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionModelWithProjection, ) from diffusers import ( DiffusionPipeline, Imag...
diffusers/examples/community/unclip_image_interpolation.py/0
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# ControlNet training example for Stable Diffusion XL (SDXL) The `train_controlnet_sdxl.py` script shows how to implement the ControlNet training procedure and adapt it for [Stable Diffusion XL](https://huggingface.co/papers/2307.01952). ## Running locally with PyTorch ### Installing the dependencies Before running...
diffusers/examples/controlnet/README_sdxl.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2024 Custom Diffusion authors and 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...
diffusers/examples/custom_diffusion/train_custom_diffusion.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/dreambooth/test_dreambooth_lora_edm.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/flux-control/train_control_flux.py/0
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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
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# 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
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# 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
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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
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# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint. # *Only* converts the UNet, VAE, and Text Encoder. # Does not convert optimizer state or any other thing. import argparse import os.path as osp import re import torch from safetensors.torch import load_file, save_file # ========...
diffusers/scripts/convert_diffusers_to_original_sdxl.py/0
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# coding=utf-8 # Copyright 2024, Haofan Wang, Qixun Wang, 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/scripts/convert_lora_safetensor_to_diffusers.py/0
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#!/usr/bin/env python from __future__ import annotations import argparse import os from contextlib import nullcontext import torch from accelerate import init_empty_weights from huggingface_hub import hf_hub_download, snapshot_download from termcolor import colored from transformers import AutoModelForCausalLM, AutoT...
diffusers/scripts/convert_sana_to_diffusers.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/scripts/convert_versatile_diffusion_to_diffusers.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/single_file_model.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/autoencoders/autoencoder_asym_kl.py/0
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# Copyright 2024 Black Forest Labs, 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/LIC...
diffusers/src/diffusers/models/controlnet_flux.py/0
{ "file_path": "diffusers/src/diffusers/models/controlnet_flux.py", "repo_id": "diffusers", "token_count": 1280 }
# 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/lora.py/0
{ "file_path": "diffusers/src/diffusers/models/lora.py", "repo_id": "diffusers", "token_count": 7972 }
# Copyright 2024 HunyuanDiT Authors, Qixun Wang 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...
diffusers/src/diffusers/models/transformers/hunyuan_transformer_2d.py/0
{ "file_path": "diffusers/src/diffusers/models/transformers/hunyuan_transformer_2d.py", "repo_id": "diffusers", "token_count": 10647 }
# 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/blip_diffusion/modeling_blip2.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/modeling_blip2.py", "repo_id": "diffusers", "token_count": 12021 }
from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, _LazyModule, ) _import_structure = { "pipeline_consistency_models": ["ConsistencyModelPipeline"], } if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: from .pipeline_consistency_models import ConsistencyModelPipeline else: i...
diffusers/src/diffusers/pipelines/consistency_models/__init__.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/audio_diffusion/mel.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/stable_diffusion_variants/pipeline_cycle_diffusion.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py", "repo_id": "diffusers", "token_count": 21377 }
from typing import TYPE_CHECKING from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule _import_structure = {"pipeline_dit": ["DiTPipeline"]} if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: from .pipeline_dit import DiTPipeline else: import sys sys.modules[__name__] = _LazyModule( __name__, ...
diffusers/src/diffusers/pipelines/dit/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/dit/__init__.py", "repo_id": "diffusers", "token_count": 177 }
# 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/free_init_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 = {} try: if not (is_transformers_available() and is...
diffusers/src/diffusers/pipelines/kandinsky2_2/__init__.py/0
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# Copyright 2024 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.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/ltx/pipeline_ltx.py", "repo_id": "diffusers", "token_count": 16904 }
# 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/pag/pag_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/pipelines/pag/pipeline_pag_sd_xl_img2img.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/pag/pipeline_pag_sd_xl_img2img.py", "repo_id": "diffusers", "token_count": 36639 }
from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_flax_available, is_k_diffusion_available, is_k_diffusion_version, is_onnx_available, is_torch_available, is_transformers_availa...
diffusers/src/diffusers/pipelines/stable_diffusion/__init__.py/0
{ "file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/__init__.py", "repo_id": "diffusers", "token_count": 3749 }
# Copyright 2024 The InstructPix2Pix Authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 ...
diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py/0
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# Copyright 2024 DiffEdit Authors and 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/license...
diffusers/src/diffusers/pipelines/stable_diffusion_diffedit/pipeline_stable_diffusion_diffedit.py/0
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# Copyright 2024 Susung Hong 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/stable_diffusion_sag/pipeline_stable_diffusion_sag.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/text_to_video_synthesis/pipeline_text_to_video_synth.py/0
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# Copyright (c) 2023 Dominic Rampas MIT License # 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/licen...
diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_diffnext.py/0
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# Copyright 2024 Stability AI, 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-...
diffusers/src/diffusers/schedulers/scheduling_flow_match_euler_discrete.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/src/diffusers/schedulers/scheduling_tcd.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 HookRegistry(metaclass=DummyObject): _backends = ["torch"] def __init__(self, *args, **kwargs): requires_backends(self, ["torch"]) @classmethod def from_config...
diffusers/src/diffusers/utils/dummy_pt_objects.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/utils/outputs.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_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/tests/models/autoencoders/test_models_autoencoder_kl_temporal_decoder.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/transformers/test_models_prior.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/kandinsky/test_kandinsky_prior.py/0
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# 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/pag/test_pag_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/pipelines/stable_cascade/test_stable_cascade_prior.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_2/test_stable_diffusion_flax_inpaint.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_image_variation/test_stable_diffusion_image_variation.py/0
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# coding=utf-8 # Copyright 2024 Harutatsu Akiyama and 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 b...
diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_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/text_to_video_synthesis/test_text_to_video_zero.py/0
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import gc import unittest import numpy as np import torch import torch.nn as nn from diffusers import ( AuraFlowPipeline, AuraFlowTransformer2DModel, FluxPipeline, FluxTransformer2DModel, GGUFQuantizationConfig, SD3Transformer2DModel, StableDiffusion3Pipeline, ) from diffusers.utils.testin...
diffusers/tests/quantization/gguf/test_gguf.py/0
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import inspect import tempfile import unittest from typing import Dict, List, Tuple import torch from diffusers import EDMEulerScheduler from .test_schedulers import SchedulerCommonTest class EDMEulerSchedulerTest(SchedulerCommonTest): scheduler_classes = (EDMEulerScheduler,) forward_default_kwargs = (("nu...
diffusers/tests/schedulers/test_scheduler_edm_euler.py/0
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import unittest import torch import torch.nn.functional as F from diffusers import VQDiffusionScheduler from .test_schedulers import SchedulerCommonTest class VQDiffusionSchedulerTest(SchedulerCommonTest): scheduler_classes = (VQDiffusionScheduler,) def get_scheduler_config(self, **kwargs): config...
diffusers/tests/schedulers/test_scheduler_vq_diffusion.py/0
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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
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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/get_modified_files.py/0
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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
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--- # 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
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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/_diffusion_policy_replay_buffer.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/datasets/v2/convert_dataset_v1_to_v2.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/policies/factory.py/0
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#!/usr/bin/env python # Copyright 2024 Seungjae Lee and Yibin Wang and Haritheja Etukuru # and H. Jin Kim and Nur Muhammad Mahi Shafiullah and Lerrel Pinto # and 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 com...
lerobot/lerobot/common/policies/vqbet/vqbet_utils.py/0
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from typing import Protocol from lerobot.common.robot_devices.robots.configs import ( AlohaRobotConfig, KochBimanualRobotConfig, KochRobotConfig, ManipulatorRobotConfig, MossRobotConfig, RobotConfig, So100RobotConfig, StretchRobotConfig, ) def get_arm_id(name, arm_type): """Return...
lerobot/lerobot/common/robot_devices/robots/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/display_sys_info.py/0
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import json from pathlib import Path import datasets import jsonlines import pyarrow.compute as pc import pyarrow.parquet as pq import pytest from lerobot.common.datasets.utils import EPISODES_PATH, INFO_PATH, STATS_PATH, TASKS_PATH @pytest.fixture(scope="session") def info_path(info_factory): def _create_info_...
lerobot/tests/fixtures/files.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/test_examples.py/0
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# Model arguments model_name_or_path: Qwen/Qwen2.5-1.5B-Instruct model_revision: main torch_dtype: bfloat16 attn_implementation: flash_attention_2 # Data training arguments dataset_name: AI-MO/NuminaMath-TIR dataset_configs: - all # Num processes is less by 1 as vLLM is using 1 GPU num_processes: 7 # GRPO trainer con...
open-r1/recipes/Qwen2.5-1.5B-Instruct/grpo/config_demo.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/src/open_r1/generate.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/developer_guides/low_level_api.md/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. --> # Helper methods A collection of helper functions for PEFT. ## Checking if a model is a PEFT model [[autodoc]] helpers.check_if_peft_model - a...
peft/docs/source/package_reference/helpers.md/0
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# 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/preprocess.py/0
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import os import torch import torch.nn as nn import transformers from datasets import load_dataset from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig from peft import LoraConfig, get_peft_model os.environ["CUDA_VISIBLE_DEVICES"] = "0" # -*- coding: utf-8 -*- """Finetune-opt-bnb-peft.i...
peft/examples/fp4_finetuning/finetune_fp4_opt_bnb_peft.py/0
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# 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/examples/int8_training/fine_tune_blip2_int8.py/0
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<jupyter_start><jupyter_text>This notebook shows how to use the adapter merging methods from `peft` and apply them image generation models using `diffusers`. Turn `diffusers` LoRA checkpoints into `PeftModel`<jupyter_code>!pip install diffusers accelerate transformers -U -q !pip install git+https://github.com/huggingf...
peft/examples/multi_adapter_examples/multi_adapter_weighted_inference_diffusers.ipynb/0
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python train.py \ --seed 100 \ --model_name_or_path "mistralai/Mistral-7B-v0.1" \ --dataset_name "smangrul/ultrachat-10k-chatml" \ --chat_template_format "chatml" \ --add_special_tokens False \ --append_concat_token False \ --splits "train,test" \ --max_seq_len 2048 \ --num_train_epochs 1 \ --logging_steps 5 \ --log_le...
peft/examples/sft/run_peft.sh/0
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[tool.black] # Only used by `hf-doc-builder´. line-length = 119 target-version = ['py38'] [tool.ruff] target-version = "py38" line-length = 119 extend-exclude = ["*.ipynb"] [tool.ruff.lint] preview = true explicit-preview-rules = true extend-select = [ "C", # Complexity "E", # PEP8 errors "F", # PEP8 form...
peft/pyproject.toml/0
{ "file_path": "peft/pyproject.toml", "repo_id": "peft", "token_count": 463 }