repo_id stringlengths 15 89 | file_path stringlengths 27 180 | content stringlengths 1 2.23M | __index_level_0__ int64 0 0 |
|---|---|---|---|
hf_public_repos/diffusers | hf_public_repos/diffusers/examples/README.md | <!---
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 a... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/examples/test_examples_utils.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/examples/conftest.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/README_sdxl.md | # Latent Consistency Distillation Example:
[Latent Consistency Models (LCMs)](https://arxiv.org/abs/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 SDXL for inference with few times... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/README.md | # Latent Consistency Distillation Example:
[Latent Consistency Models (LCMs)](https://arxiv.org/abs/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 inferen... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/requirements.txt | accelerate>=0.16.0
torchvision
transformers>=4.25.1
ftfy
tensorboard
Jinja2
webdataset | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The LCM team 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://www.apach... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/train_lcm_distill_sd_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/consistency_distillation/test_lcm_lora.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/README_sdxl.md | ## Textual Inversion fine-tuning example for SDXL
```
export MODEL_NAME="stabilityai/stable-diffusion-xl-base-1.0"
export DATA_DIR="./cat"
accelerate launch textual_inversion_sdxl.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--train_data_dir=$DATA_DIR \
--learnable_property="object" \
--placeholder_toke... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/README.md | ## Textual Inversion fine-tuning example
[Textual inversion](https://arxiv.org/abs/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 diffusion... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/textual_inversion.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/test_textual_inversion_sdxl.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/requirements.txt | accelerate>=0.16.0
torchvision
transformers>=4.25.1
ftfy
tensorboard
Jinja2
| 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/textual_inversion_flax.py | import argparse
import logging
import math
import os
import random
from pathlib import Path
import jax
import jax.numpy as jnp
import numpy as np
import optax
import PIL
import torch
import torch.utils.checkpoint
import transformers
from flax import jax_utils
from flax.training import train_state
from flax.training.co... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/textual_inversion_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/test_textual_inversion.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/textual_inversion/requirements_flax.txt | transformers>=4.25.1
flax
optax
torch
torchvision
ftfy
tensorboard
Jinja2
| 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/lpw_stable_diffusion_xl.py | ## ----------------------------------------------------------
# A SDXL pipeline can take unlimited weighted prompt
#
# Author: Andrew Zhu
# Github: https://github.com/xhinker
# Medium: https://medium.com/@xhinker
## -----------------------------------------------------------
import inspect
import os
from typing import... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/clip_guided_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 torchvision import transforms
from transformers import CLIPImageProcessor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
Diffu... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/marigold_depth_estimation.py | # Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/masked_stable_diffusion_img2img.py | from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionImg2ImgPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
class MaskedStableDiffusionImg2ImgPipeline(StableDiffusionImg2ImgPipeline... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/dps_pipeline.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/ddim_noise_comparative_analysis.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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_animatediff_controlnet.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/sd_text2img_k_diffusion.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_controlnet_inpaint.py | # 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
import torch.nn.functional as F
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from di... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/rerender_a_video.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/llm_grounded_diffusion.py | # Copyright 2023 Long Lian, the GLIGEN 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 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_tensorrt_inpaint.py | #
# Copyright 2023 The HuggingFace Inc. team.
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_mega.py | from typing import Any, Callable, Dict, List, Optional, Union
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionImg... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/interpolate_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 transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDict
from diffusers.m... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/lpw_stable_diffusion.py | 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/speech_to_image_diffusion.py | import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/README.md | # Community Examples
> **For more information about community pipelines, please have a look at [this issue](https://github.com/huggingface/diffusers/issues/841).**
**Community** examples consist of both inference and training examples that have been added by the community.
Please have a look at the following table to... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/tiled_upscaling.py | # Copyright 2023 Peter Willemsen <peter@codebuffet.co>. 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/one_step_unet.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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_fabric.py | # Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/sde_drag.py | import math
import tempfile
from typing import List, Optional
import numpy as np
import PIL.Image
import torch
from accelerate import Accelerator
from torchvision import transforms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DiffusionPipeline, ... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/text_inpainting.py | from typing import Callable, List, Optional, Union
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_ipex.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/iadb.py | from typing import List, Optional, Tuple, Union
import torch
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import ConfigMixin
from diffusers.pipelines.pipeline_utils import ImagePipelineOutput
from diffusers.schedulers.scheduling_utils import SchedulerMixin
class IADBScheduler(Scheduler... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_controlnet_img2img.py | # 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_tensorrt_img2img.py | #
# Copyright 2023 The HuggingFace Inc. team.
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py | # Copyright 2023 TencentARC 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/regional_prompting_stable_diffusion.py | import math
from typing import Dict, Optional
import torch
import torchvision.transforms.functional as FF
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from diffusers import StableDiffusionPipeline
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipelines.... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/run_onnx_controlnet.py | import argparse
import inspect
import os
import time
import warnings
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from PIL import Image
from transformers import CLIPTokenizer
from diffusers import OnnxRuntimeModel, StableDiffusionImg2ImgPipeline, UniPC... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_controlnet_reference.py | # Inspired by: https://github.com/Mikubill/sd-webui-controlnet/discussions/1236 and https://github.com/Mikubill/sd-webui-controlnet/discussions/1280
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionControlNetPipe... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_xl_reference.py | # Based on stable_diffusion_reference.py
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionXLPipeline
from diffusers.models.attention import BasicTransformerBlock
from diffusers.models.unet_2d_blocks import (
... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter_inpaint.py | # Copyright 2023 Jake Babbidge, TencentARC 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
#
... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_reference.py | # Inspired by: https://github.com/Mikubill/sd-webui-controlnet/discussions/1236 and https://github.com/Mikubill/sd-webui-controlnet/discussions/1280
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionPipeline
from ... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/unclip_image_interpolation.py | 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_stable_diffusion_upscale_ldm3d.py | # Copyright 2023 The Intel Labs Team 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
... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/gluegen.py | import inspect
from typing import Any, Dict, List, Optional, Union
import torch
import torch.nn as nn
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor
from diffusers import DiffusionPipeline
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import LoraLoaderMixin
from... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_sdxl_style_aligned.py | # 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/checkpoint_merger.py | import glob
import os
from typing import Dict, List, Union
import safetensors.torch
import torch
from huggingface_hub import snapshot_download
from huggingface_hub.utils import validate_hf_hub_args
from diffusers import DiffusionPipeline, __version__
from diffusers.schedulers.scheduling_utils import SCHEDULER_CONFIG_... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_repaint.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/run_tensorrt_controlnet.py | import argparse
import atexit
import inspect
import os
import time
import warnings
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import pycuda.driver as cuda
import tensorrt as trt
import torch
from PIL import Image
from pycuda.tools import make_default_context
from ... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/latent_consistency_img2img.py | # Copyright 2023 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
#
#... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_zero1to3.py | # A diffuser version implementation of Zero1to3 (https://github.com/cvlab-columbia/zero123), ICCV 2023
# by Xin Kong
import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import kornia
import numpy as np
import PIL.Image
import torch
from packaging import version
from transformers import CLIPFe... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_comparison.py | from typing import Any, Callable, Dict, List, Optional, Union
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionPipeline,
UNet2D... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/wildcard_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 transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDic... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/ip_adapter_face_id.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/imagic_stable_diffusion.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 PIL.Image
import torch
im... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_prompt2prompt.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/bit_diffusion.py | from typing import Optional, Tuple, Union
import torch
from einops import rearrange, reduce
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, ImagePipelineOutput, UNet2DConditionModel
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.schedulers.scheduling_ddpm im... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/mixture_tiling.py | import inspect
from copy import deepcopy
from enum import Enum
from typing import List, Optional, Tuple, Union
import torch
from tqdm.auto import tqdm
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pipelines.pipeline_utils import DiffusionPipeline
from diffusers.pipelines.stable_diffu... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/latent_consistency_txt2img.py | # Copyright 2023 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
#
#... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/multilingual_stable_diffusion.py | import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
MBart50TokenizerFast,
MBartForConditionalGeneration,
pipeline,
)
from diffusers import DiffusionPipeline
from diffusers.configuration_util... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/composable_stable_diffusion.py | # 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 applicabl... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/img2img_inpainting.py | import inspect
from typing import Callable, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import FrozenDict
from diffusers.models import ... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_tensorrt_txt2img.py | #
# Copyright 2023 The HuggingFace Inc. team.
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/magic_mix.py | from typing import Union
import torch
from PIL import Image
from torchvision import transforms as tfms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/lpw_stable_diffusion_onnx.py | import inspect
import re
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from packaging import version
from transformers import CLIPImageProcessor, CLIPTokenizer
import diffusers
from diffusers import OnnxRuntimeModel, OnnxStableDiffusionPipeline, SchedulerMixin
fro... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/clip_guided_stable_diffusion_img2img.py | import inspect
from typing import List, Optional, Union
import numpy as np
import PIL.Image
import torch
from torch import nn
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPFeatureExtractor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
Autoe... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/unclip_text_interpolation.py | import inspect
from typing import List, Optional, Tuple, Union
import torch
from torch.nn import functional as F
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from transformers.models.clip.modeling_clip import CLIPTextModelOutput
from diffusers import (
DiffusionPipeline,
ImagePipelineOu... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/clip_guided_images_mixing_stable_diffusion.py | # -*- coding: utf-8 -*-
import inspect
from typing import Optional, Union
import numpy as np
import PIL.Image
import torch
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPFeatureExtractor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
Autoenco... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_unclip.py | import types
from typing import List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from transformers.models.clip.modeling_clip import CLIPTextModelOutput
from diffusers.models import PriorTransformer
from diffusers.pipelines import DiffusionPipeline, StableDi... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_null_text_inversion.py | import inspect
import os
import numpy as np
import torch
import torch.nn.functional as nnf
from PIL import Image
from torch.optim.adam import Adam
from tqdm import tqdm
from diffusers import StableDiffusionPipeline
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
def retrieve_timesteps... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/mixture_canvas.py | import re
from copy import deepcopy
from dataclasses import asdict, dataclass
from enum import Enum
from typing import List, Optional, Union
import numpy as np
import torch
from numpy import exp, pi, sqrt
from torchvision.transforms.functional import resize
from tqdm.auto import tqdm
from transformers import CLIPFeatu... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/pipeline_demofusion_sdxl.py | 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/seed_resize_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 transformers import CLIPImageProcessor, CLIPText... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/stable_diffusion_controlnet_inpaint_img2img.py | # Inspired by: https://github.com/haofanwang/ControlNet-for-Diffusers/
import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/latent_consistency_interpolate.py | import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInve... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/community/edict_pipeline.py | from typing import Optional
import torch
from PIL import Image
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, DiffusionPipeline, UNet2DConditionModel
from diffusers.image_processor import VaeImageProcessor
from diffusers.utils impor... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/README_sdxl.md | # InstructPix2Pix SDXL training example
***This is based on the original InstructPix2Pix training example.***
[Stable Diffusion XL](https://huggingface.co/papers/2307.01952) (or SDXL) is the latest image generation model that is tailored towards more photorealistic outputs with more detailed imagery and composition c... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/train_instruct_pix2pix.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/README.md | # InstructPix2Pix training example
[InstructPix2Pix](https://arxiv.org/abs/2211.09800) is a method to fine-tune text-conditioned diffusion models such that they can follow an edit instruction for an input image. Models fine-tuned using this method take the following as inputs:
<p align="center">
<img src="https:/... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/requirements.txt | accelerate>=0.16.0
torchvision
transformers>=4.25.1
datasets
ftfy
tensorboard | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 Harutatsu Akiyama 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://www.... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/t2i_adapter/README_sdxl.md | # T2I-Adapter training example for Stable Diffusion XL (SDXL)
The `train_t2i_adapter_sdxl.py` script shows how to implement the [T2I-Adapter training procedure](https://hf.co/papers/2302.08453) for [Stable Diffusion XL](https://huggingface.co/papers/2307.01952).
## Running locally with PyTorch
### Installing the dep... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/t2i_adapter/README.md | We don't yet support training T2I-Adapters on Stable Diffusion yet. For training T2I-Adapters on Stable Diffusion XL, refer [here](./README_sdxl.md). | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/t2i_adapter/train_t2i_adapter_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/t2i_adapter/test_t2i_adapter.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/t2i_adapter/requirements.txt | transformers>=4.25.1
accelerate>=0.16.0
safetensors
datasets
torchvision
ftfy
tensorboard
wandb | 0 |
hf_public_repos/diffusers/examples | hf_public_repos/diffusers/examples/custom_diffusion/test_custom_diffusion.py | # coding=utf-8
# Copyright 2023 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... | 0 |
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