python_code stringlengths 0 290k | repo_name stringclasses 30
values | file_path stringlengths 6 125 |
|---|---|---|
# 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 applicabl... | diffusers-ft-main | examples/community/sd_text2img_k_diffusion.py |
import inspect
from typing import Callable, List, Optional, Union
import torch
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionPi... | diffusers-ft-main | examples/community/multilingual_stable_diffusion.py |
import inspect
import re
from typing import Callable, List, Optional, Union
import numpy as np
import torch
import PIL
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.s... | diffusers-ft-main | examples/community/lpw_stable_diffusion.py |
import inspect
import os
import random
import re
from dataclasses import dataclass
from typing import Callable, Dict, List, Optional, Union
import torch
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionP... | diffusers-ft-main | examples/community/wildcard_stable_diffusion.py |
import inspect
from typing import Callable, List, Optional, Union
import torch
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
UNet2DConditionModel,
)
from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import Stable... | diffusers-ft-main | examples/community/speech_to_image_diffusion.py |
#!/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-ft-main | examples/community/one_step_unet.py |
from typing import Optional, Tuple, Union
import torch
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, UNet2DConditionModel
from diffusers.pipeline_utils import ImagePipelineOutput
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.schedulers.scheduling_ddpm imp... | diffusers-ft-main | examples/community/bit_diffusion.py |
import inspect
import re
from typing import Callable, List, Optional, Union
import numpy as np
import torch
import PIL
from diffusers.onnx_utils import OnnxRuntimeModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
from diffusers.... | diffusers-ft-main | examples/community/lpw_stable_diffusion_onnx.py |
"""
modeled after the textual_inversion.py / train_dreambooth.py and the work
of justinpinkney here: https://github.com/justinpinkney/stable-diffusion/blob/main/notebooks/imagic.ipynb
"""
import inspect
import warnings
from typing import List, Optional, Union
import numpy as np
import torch
import torch.nn.fun... | diffusers-ft-main | examples/community/imagic_stable_diffusion.py |
import inspect
from typing import List, Optional, Union
import torch
from torch import nn
from torch.nn import functional as F
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
UNet2DConditionModel,
)
from diffusers.pipelines.stable_d... | diffusers-ft-main | examples/community/clip_guided_stable_diffusion.py |
"""
modified based on diffusion library from Huggingface: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from diffusers.models import AutoencoderKL, UNet2DCo... | diffusers-ft-main | examples/community/seed_resize_stable_diffusion.py |
from typing import Any, Callable, Dict, List, Optional, Union
import torch
import PIL.Image
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionImg2ImgPipeline,
StableDiffusionInpaintPipelineLegacy,
StableDiffusio... | diffusers-ft-main | examples/community/stable_diffusion_mega.py |
import inspect
from typing import Callable, List, Optional, Tuple, Union
import numpy as np
import torch
import PIL
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.stab... | diffusers-ft-main | examples/community/img2img_inpainting.py |
"""
modified based on diffusion library from Huggingface: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
"""
import inspect
import warnings
from typing import List, Optional, Union
import torch
from diffusers.models import AutoencoderKL, UN... | diffusers-ft-main | examples/community/composable_stable_diffusion.py |
import inspect
import time
from pathlib import Path
from typing import Callable, List, Optional, Union
import numpy as np
import torch
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffu... | diffusers-ft-main | examples/community/interpolate_stable_diffusion.py |
from typing import Callable, List, Optional, Union
import torch
import PIL
from diffusers.configuration_utils import FrozenDict
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionInpain... | diffusers-ft-main | examples/community/text_inpainting.py |
import d4rl # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline
config = dict(
n_samples=64,
horizon=32,
num_inference_steps=20,
n_guide_steps=2,
scale_grad_by_std=True,
scale=0.1,
eta=0.0,
t_grad_cutoff=2,
device="cpu",
)
if __name__ == "__mai... | diffusers-ft-main | examples/rl/run_diffuser_locomotion.py |
import d4rl # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline
config = dict(
n_samples=64,
horizon=32,
num_inference_steps=20,
n_guide_steps=0,
scale_grad_by_std=True,
scale=0.1,
eta=0.0,
t_grad_cutoff=2,
device="cpu",
)
if __name__ == "__mai... | diffusers-ft-main | examples/rl/run_diffuser_gen_trajectories.py |
import argparse
import torch
import OmegaConf
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def convert_ldm_original(checkpoint_path, config_path, output_path):
config = OmegaConf.load(config_path)
state_dict = torch.load(checkpoint_path, map_location="cpu")["model"]
keys = lis... | diffusers-ft-main | scripts/conversion_ldm_uncond.py |
# 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 torch
# =================#
# UNet Conversion #
# =================#
unet_con... | diffusers-ft-main | scripts/convert_diffusers_to_original_stable_diffusion.py |
diffusers-ft-main | scripts/__init__.py | |
import argparse
import json
import torch
from diffusers import AutoencoderKL, DDPMPipeline, DDPMScheduler, UNet2DModel, VQModel
def shave_segments(path, n_shave_prefix_segments=1):
"""
Removes segments. Positive values shave the first segments, negative shave the last segments.
"""
if n_shave_prefix... | diffusers-ft-main | scripts/convert_ddpm_original_checkpoint_to_diffusers.py |
# coding=utf-8
# Copyright 2022 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-ft-main | scripts/convert_ldm_original_checkpoint_to_diffusers.py |
# 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 applicabl... | diffusers-ft-main | scripts/convert_stable_diffusion_checkpoint_to_onnx.py |
import json
import os
import torch
from diffusers import UNet1DModel
os.makedirs("hub/hopper-medium-v2/unet/hor32", exist_ok=True)
os.makedirs("hub/hopper-medium-v2/unet/hor128", exist_ok=True)
os.makedirs("hub/hopper-medium-v2/value_function", exist_ok=True)
def unet(hor):
if hor == 128:
down_block_... | diffusers-ft-main | scripts/convert_models_diffuser_to_diffusers.py |
# coding=utf-8
# Copyright 2022 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-ft-main | scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py |
import random
import torch
from diffusers import UNet2DModel
from huggingface_hub import HfApi
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-ft-main | scripts/generate_logits.py |
#!/usr/bin/env python3
import argparse
import math
import os
from copy import deepcopy
import torch
from torch import nn
from audio_diffusion.models import DiffusionAttnUnet1D
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
from diffusion import sampling
MODELS_MAP = {
"gwf-440k": {
... | diffusers-ft-main | scripts/convert_dance_diffusion_to_diffusers.py |
"""
This script ports models from VQ-diffusion (https://github.com/microsoft/VQ-Diffusion) to diffusers.
It currently only supports porting the ITHQ dataset.
ITHQ dataset:
```sh
# From the root directory of diffusers.
# Download the VQVAE checkpoint
$ wget https://facevcstandard.blob.core.windows.net/v-zhictang/Impr... | diffusers-ft-main | scripts/convert_vq_diffusion_to_diffusers.py |
# coding=utf-8
# Copyright 2022 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-ft-main | scripts/convert_versatile_diffusion_to_diffusers.py |
# coding=utf-8
# Copyright 2022 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-ft-main | scripts/convert_original_stable_diffusion_to_diffusers.py |
# coding=utf-8
# Copyright 2022 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-ft-main | scripts/change_naming_configs_and_checkpoints.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/configuration_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/pipeline_flax_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/modeling_flax_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/modeling_flax_pytorch_utils.py |
# Copyright 2020 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-ft-main | src/diffusers/dependency_versions_check.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/optimization.py |
from .utils import (
is_flax_available,
is_inflect_available,
is_onnx_available,
is_scipy_available,
is_torch_available,
is_transformers_available,
is_unidecode_available,
)
__version__ = "0.9.0"
from .configuration_utils import ConfigMixin
from .onnx_utils import OnnxRuntimeModel
from .u... | diffusers-ft-main | src/diffusers/__init__.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/hub_utils.py |
import copy
import os
import random
import numpy as np
import torch
def enable_full_determinism(seed: int):
"""
Helper function for reproducible behavior during distributed training. See
- https://pytorch.org/docs/stable/notes/randomness.html for pytorch
"""
# set seed first
set_seed(seed)
... | diffusers-ft-main | src/diffusers/training_utils.py |
# THIS FILE HAS BEEN AUTOGENERATED. To update:
# 1. modify the `_deps` dict in setup.py
# 2. run `make deps_table_update``
deps = {
"Pillow": "Pillow",
"accelerate": "accelerate>=0.11.0",
"black": "black==22.8",
"datasets": "datasets",
"filelock": "filelock",
"flake8": "flake8>=3.8.3",
"flax... | diffusers-ft-main | src/diffusers/dependency_versions_table.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/modeling_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/dynamic_modules_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/onnx_utils.py |
# coding=utf-8
# Copyright 2022 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-ft-main | src/diffusers/pipeline_utils.py |
from .rl import ValueGuidedRLPipeline
| diffusers-ft-main | src/diffusers/experimental/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/experimental/rl/value_guided_sampling.py |
from .value_guided_sampling import ValueGuidedRLPipeline
| diffusers-ft-main | src/diffusers/experimental/rl/__init__.py |
from ..utils import is_flax_available, is_onnx_available, is_torch_available, is_transformers_available
if is_torch_available():
from .dance_diffusion import DanceDiffusionPipeline
from .ddim import DDIMPipeline
from .ddpm import DDPMPipeline
from .latent_diffusion import LDMSuperResolutionPipeline
... | diffusers-ft-main | src/diffusers/pipelines/__init__.py |
from .pipeline_repaint import RePaintPipeline
| diffusers-ft-main | src/diffusers/pipelines/repaint/__init__.py |
# Copyright 2022 ETH Zurich Computer Vision Lab 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-ft-main | src/diffusers/pipelines/repaint/pipeline_repaint.py |
# flake8: noqa
from .pipeline_stochastic_karras_ve import KarrasVePipeline
| diffusers-ft-main | src/diffusers/pipelines/stochastic_karras_ve/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stochastic_karras_ve/pipeline_stochastic_karras_ve.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/ddim/pipeline_ddim.py |
# flake8: noqa
from .pipeline_ddim import DDIMPipeline
| diffusers-ft-main | src/diffusers/pipelines/ddim/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
# Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Sta... | diffusers-ft-main | src/diffusers/pipelines/alt_diffusion/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion.py |
from dataclasses import dataclass
from typing import Optional, Tuple
import torch
from torch import nn
from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
from transformers.utils import ModelOutput
@dataclass
class TransformationModelOutput(ModelOutput):
"""
Base class for tex... | diffusers-ft-main | src/diffusers/pipelines/alt_diffusion/modeling_roberta_series.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py |
# flake8: noqa
from .pipeline_latent_diffusion_uncond import LDMPipeline
| diffusers-ft-main | src/diffusers/pipelines/latent_diffusion_uncond/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py |
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class SafetyConfig(object):
WEAK = {
"sld_warmup_steps": 15,
... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion_safe/__init__.py |
import inspect
import warnings
from typing import Callable, List, Optional, Union
import numpy as np
import torch
from packaging import version
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDict
from ...models import AutoencoderKL, UNet2DConditio... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py |
from ...utils import is_torch_available, is_transformers_available
if is_transformers_available() and is_torch_available():
from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline
| diffusers-ft-main | src/diffusers/pipelines/vq_diffusion/__init__.py |
# Copyright 2022 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-ft-main | src/diffusers/pipelines/vq_diffusion/pipeline_vq_diffusion.py |
import inspect
from typing import Optional, Tuple, Union
import numpy as np
import torch
import torch.utils.checkpoint
import PIL
from ...models import UNet2DModel, VQModel
from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from ...schedulers import (
DDIMScheduler,
DPMSolverMultistepSchedu... | diffusers-ft-main | src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py |
# flake8: noqa
from ...utils import is_transformers_available
from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline
if is_transformers_available():
from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline
| diffusers-ft-main | src/diffusers/pipelines/latent_diffusion/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py |
# flake8: noqa
from .pipeline_dance_diffusion import DanceDiffusionPipeline
| diffusers-ft-main | src/diffusers/pipelines/dance_diffusion/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/dance_diffusion/pipeline_dance_diffusion.py |
# flake8: noqa
from .pipeline_score_sde_ve import ScoreSdeVePipeline
| diffusers-ft-main | src/diffusers/pipelines/score_sde_ve/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/score_sde_ve/pipeline_score_sde_ve.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_image_variation.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
import torch
import PIL
from transformers import CLIPFeatureExtractor, CLIPTokenizer
from ...configuration_utils import FrozenDict
from ...onnx_utils import OnnxRuntimeModel
from ...pipeline_utils import DiffusionPipeline
from ...sc... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint_legacy.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/safety_checker.py |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
BaseOutput,
is_flax_available,
is_onnx_available,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
@dataclass
class ... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/pndm/pipeline_pndm.py |
# flake8: noqa
from .pipeline_pndm import PNDMPipeline
| diffusers-ft-main | src/diffusers/pipelines/pndm/__init__.py |
from typing import Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...modeling_utils import ModelMixin
from ...models.attention import DualTransformer2DModel, Transformer2DModel
from ...models.embeddings import Timest... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/modeling_text_unet.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_dual_guided.py |
from ...utils import is_torch_available, is_transformers_available, is_transformers_version
if is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0.dev0"):
from .modeling_text_unet import UNetFlatConditionModel
from .pipeline_versatile_diffusion import VersatileDiffus... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_image_variation.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py |
import inspect
from typing import Callable, List, Optional, Union
import torch
import PIL.Image
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer, CLIPVisionModel
from ...models import AutoencoderKL, UNet2DConditionModel
from ...pipeline_utils import DiffusionPipeline
from ...schedulers imp... | diffusers-ft-main | src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion.py |
# flake8: noqa
from .pipeline_ddpm import DDPMPipeline
| diffusers-ft-main | src/diffusers/pipelines/ddpm/__init__.py |
# 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 applicabl... | diffusers-ft-main | src/diffusers/pipelines/ddpm/pipeline_ddpm.py |
# coding=utf-8
# Copyright 2020 Optuna, Hugging Face
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this 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-ft-main | src/diffusers/utils/logging.py |
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