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/scripts/convert_svd_to_diffusers.py | from diffusers.utils import is_accelerate_available, logging
if is_accelerate_available():
pass
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
def create_unet_diffusers_config(original_config, image_size: int, controlnet=False):
"""
Creates a config for the diffusers based on the... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_stable_diffusion_controlnet_to_tensorrt.py | import argparse
import sys
import tensorrt as trt
def convert_models(onnx_path: str, num_controlnet: int, output_path: str, fp16: bool = False, sd_xl: bool = False):
"""
Function to convert models in stable diffusion controlnet pipeline into TensorRT format
Example:
python convert_stable_diffusion_c... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_original_t2i_adapter.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_ms_text_to_video_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_unclip_txt2img_to_image_variation.py | import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_tiny_autoencoder_to_diffusers.py | import argparse
import safetensors.torch
from diffusers import AutoencoderTiny
"""
Example - From the diffusers root directory:
Download the weights:
```sh
$ wget -q https://huggingface.co/madebyollin/taesd/resolve/main/taesd_encoder.safetensors
$ wget -q https://huggingface.co/madebyollin/taesd/resolve/main/taesd... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_kandinsky3_unet.py | #!/usr/bin/env python3
import argparse
import fnmatch
from safetensors.torch import load_file
from diffusers import Kandinsky3UNet
MAPPING = {
"to_time_embed.1": "time_embedding.linear_1",
"to_time_embed.3": "time_embedding.linear_2",
"in_layer": "conv_in",
"out_layer.0": "conv_norm_out",
"out_l... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_ddpm_original_checkpoint_to_diffusers.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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_ldm_original_checkpoint_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_stable_diffusion_checkpoint_to_onnx.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 | hf_public_repos/diffusers/scripts/convert_if.py | import argparse
import inspect
import os
import numpy as np
import torch
from torch.nn import functional as F
from transformers import CLIPConfig, CLIPImageProcessor, CLIPVisionModelWithProjection, T5EncoderModel, T5Tokenizer
from diffusers import DDPMScheduler, IFPipeline, IFSuperResolutionPipeline, UNet2DConditionM... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_pixart_alpha_to_diffusers.py | import argparse
import os
import torch
from transformers import T5EncoderModel, T5Tokenizer
from diffusers import AutoencoderKL, DPMSolverMultistepScheduler, PixArtAlphaPipeline, Transformer2DModel
ckpt_id = "PixArt-alpha/PixArt-alpha"
# https://github.com/PixArt-alpha/PixArt-alpha/blob/0f55e922376d8b797edd44d25d0e... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_consistency_decoder.py | import math
import os
import urllib
import warnings
from argparse import ArgumentParser
import torch
import torch.nn as nn
import torch.nn.functional as F
from huggingface_hub.utils import insecure_hashlib
from safetensors.torch import load_file as stl
from tqdm import tqdm
from diffusers import AutoencoderKL, Consis... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_stable_diffusion_controlnet_to_onnx.py | import argparse
import os
import shutil
from pathlib import Path
import onnx
import onnx_graphsurgeon as gs
import torch
from onnx import shape_inference
from packaging import version
from polygraphy.backend.onnx.loader import fold_constants
from torch.onnx import export
from diffusers import (
ControlNetModel,
... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py | import argparse
import tempfile
import torch
from accelerate import load_checkpoint_and_dispatch
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import UnCLIPPipeline, UNet2DConditionModel, UNet2DModel
from diffusers.models.prior_transformer import PriorTransformer
from diffusers.pi... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_original_audioldm_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_blipdiffusion_to_diffusers.py | """
This script requires you to build `LAVIS` from source, since the pip version doesn't have BLIP Diffusion. Follow instructions here: https://github.com/salesforce/LAVIS/tree/main.
"""
import argparse
import os
import tempfile
import torch
from lavis.models import load_model_and_preprocess
from transformers import ... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_gligen_to_diffusers.py | import argparse
import re
import torch
from transformers import (
CLIPProcessor,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionModelWithProjection,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionGLIGENPipeline,
StableDiffusionGLIGENTextImagePipeline,
UNet2DConditi... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_models_diffuser_to_diffusers.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_... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_diffusers_to_original_sdxl.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 re
import torch
from safetensors.torch import load_file, save_file
# ========... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_unidiffuser_to_diffusers.py | # Convert the original UniDiffuser checkpoints into diffusers equivalents.
import argparse
from argparse import Namespace
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
GPT2Tokenizer... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_zero123_to_diffusers.py | """
This script modified from
https://github.com/huggingface/diffusers/blob/bc691231360a4cbc7d19a58742ebb8ed0f05e027/scripts/convert_original_stable_diffusion_to_diffusers.py
Convert original Zero1to3 checkpoint to diffusers checkpoint.
# run the convert script
$ python convert_zero123_to_diffusers.py \
--checkpoi... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_original_musicldm_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/generate_logits.py | import random
import torch
from huggingface_hub import HfApi
from diffusers import UNet2DModel
api = HfApi()
results = {}
# fmt: off
results["google_ddpm_cifar10_32"] = torch.tensor([
-0.7515, -1.6883, 0.2420, 0.0300, 0.6347, 1.3433, -1.1743, -3.7467,
1.2342, -2.2485, 0.4636, 0.8076, -0.7991, 0.3969, 0.849... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_consistency_to_diffusers.py | import argparse
import os
import torch
from diffusers import (
CMStochasticIterativeScheduler,
ConsistencyModelPipeline,
UNet2DModel,
)
TEST_UNET_CONFIG = {
"sample_size": 32,
"in_channels": 3,
"out_channels": 3,
"layers_per_block": 2,
"num_class_embeds": 1000,
"block_out_channel... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_vae_pt_to_diffusers.py | import argparse
import io
import requests
import torch
from omegaconf import OmegaConf
from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
assign_to_checkpoint,
conv_attn_to_linear,
create_vae_diffusers_config,
renew_vae_attention_paths,
renew_v... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_dance_diffusion_to_diffusers.py | #!/usr/bin/env python3
import argparse
import math
import os
from copy import deepcopy
import torch
from audio_diffusion.models import DiffusionAttnUnet1D
from diffusion import sampling
from torch import nn
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
MODELS_MAP = {
"gwf-440k": {
... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_vq_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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_versatile_diffusion_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_k_upscaler_to_diffusers.py | import argparse
import huggingface_hub
import k_diffusion as K
import torch
from diffusers import UNet2DConditionModel
UPSCALER_REPO = "pcuenq/k-upscaler"
def resnet_to_diffusers_checkpoint(resnet, checkpoint, *, diffusers_resnet_prefix, resnet_prefix):
rv = {
# norm1
f"{diffusers_resnet_prefi... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_lora_safetensor_to_diffusers.py | # coding=utf-8
# Copyright 2023, 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/change_naming_configs_and_checkpoints.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_kandinsky_to_diffusers.py | import argparse
import os
import tempfile
import torch
from accelerate import load_checkpoint_and_dispatch
from diffusers import UNet2DConditionModel
from diffusers.models.prior_transformer import PriorTransformer
from diffusers.models.vq_model import VQModel
"""
Example - From the diffusers root directory:
Downlo... | 0 |
hf_public_repos/diffusers | hf_public_repos/diffusers/scripts/convert_music_spectrogram_to_diffusers.py | #!/usr/bin/env python3
import argparse
import os
import jax as jnp
import numpy as onp
import torch
import torch.nn as nn
from music_spectrogram_diffusion import inference
from t5x import checkpoints
from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline
from diffusers.pipelines.spectrogr... | 0 |
hf_public_repos/diffusers/src | hf_public_repos/diffusers/src/diffusers/configuration_utils.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src | hf_public_repos/diffusers/src/diffusers/image_processor.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/src | hf_public_repos/diffusers/src/diffusers/dependency_versions_check.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/src | hf_public_repos/diffusers/src/diffusers/optimization.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src | hf_public_repos/diffusers/src/diffusers/__init__.py | __version__ = "0.25.0.dev0"
from typing import TYPE_CHECKING
from .utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_k_diffusion_available,
is_librosa_available,
is_note_seq_available,
is_onnx_available,
is_scipy_available,
... | 0 |
hf_public_repos/diffusers/src | hf_public_repos/diffusers/src/diffusers/training_utils.py | import contextlib
import copy
import random
from typing import Any, Dict, Iterable, Optional, Union
import numpy as np
import torch
from .models import UNet2DConditionModel
from .utils import deprecate, is_transformers_available
if is_transformers_available():
import transformers
def set_seed(seed: int):
... | 0 |
hf_public_repos/diffusers/src | hf_public_repos/diffusers/src/diffusers/dependency_versions_table.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",
"compel": "compel==0.1.8",
"datasets": "datasets",
"filelock": "filelock",
"flax": "flax>=0.4.1",
"hf-doc... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/experimental/__init__.py | from .rl import ValueGuidedRLPipeline
| 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/experimental/README.md | # 🧨 Diffusers Experimental
We are adding experimental code to support novel applications and usages of the Diffusers library.
Currently, the following experiments are supported:
* Reinforcement learning via an implementation of the [Diffuser](https://arxiv.org/abs/2205.09991) model. | 0 |
hf_public_repos/diffusers/src/diffusers/experimental | hf_public_repos/diffusers/src/diffusers/experimental/rl/value_guided_sampling.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/src/diffusers/experimental | hf_public_repos/diffusers/src/diffusers/experimental/rl/__init__.py | from .value_guided_sampling import ValueGuidedRLPipeline
| 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/pipeline_flax_utils.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/auto_pipeline.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/__init__.py | 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_librosa_available,
is_note_seq_available,
is_onnx_available,
is_torch_available,
... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/README.md | # 🧨 Diffusers Pipelines
Pipelines provide a simple way to run state-of-the-art diffusion models in inference.
Most diffusion systems consist of multiple independently-trained models and highly adaptable scheduler
components - all of which are needed to have a functioning end-to-end diffusion system.
As an example, ... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/onnx_utils.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src/diffusers | hf_public_repos/diffusers/src/diffusers/pipelines/pipeline_utils.py | # coding=utf-8
# Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/stable_video_diffusion/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
BaseOutput,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_av... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_img2img.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/__init__.py | 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... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_inpaint.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py | import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class MCLIPConfig(XLMRobertaConfig):
model_type = "M-CLIP"
def __init__(self, transformerDimSize=1024, imageDimSize=768, **kwargs):
self.transformerDimensions = transformerDimSize
self.numDims = imageDimS... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/multicontrolnet.py | import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
logger = logging.get_logger(__name__)
class MultiControlN... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transfor... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_blip_diffusion.py | # Copyright 2023 Salesforce.com, inc.
# 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/LICENS... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint_sd_xl.py | # Copyright 2023 Harutatsu Akiyama, Jinbin Bai, 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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/controlnet/pipeline_flax_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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/repaint/__init__.py | from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_repaint": ["RePaintPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_repaint import RePaintPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/repaint/pipeline_repaint.py | # Copyright 2023 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... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/latent_consistency_models/pipeline_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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_text2img.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/latent_consistency_models/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py | from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPT2Config, GPT2LMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
# Modified from ClipCapti... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/unidiffuser/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py | import inspect
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionModelWithProjection,
GPT2Tokenizer,
)
from ...image_processor ... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/unidiffuser/modeling_uvit.py | import math
from typing import Optional, Union
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
from ...models.attention import FeedForward
from ...models.attention_processor import Attention
from ...models.embeddings import Timestep... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/musicldm/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_tr... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/musicldm/pipeline_musicldm.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py | import copy
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
import torch.nn.functional as F
from torch.nn.functional import grid_sample
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTextMod... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py | import copy
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from torch.nn.functional import grid_sample
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers.models ... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_output.py | from dataclasses import dataclass
from typing import List, Union
import numpy as np
import torch
from ...utils import (
BaseOutput,
)
@dataclass
class TextToVideoSDPipelineOutput(BaseOutput):
"""
Output class for text-to-video pipelines.
Args:
frames (`List[np.ndarray]` or `torch.FloatTenso... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py | 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... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/animatediff/__init__.py | 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... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/animatediff/pipeline_animatediff.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/stochastic_karras_ve/__init__.py | from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_stochastic_karras_ve": ["KarrasVePipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_stochastic_karras_ve import KarrasVePipeline
else:
import sys
sys.modules[__nam... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/stochastic_karras_ve/pipeline_stochastic_karras_ve.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/ddim/pipeline_ddim.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/ddim/__init__.py | from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_ddim": ["DDIMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_ddim import DDIMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/audioldm2/__init__.py | from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_tr... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/audioldm2/modeling_audioldm2.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/audioldm2/pipeline_audioldm2.py | # Copyright 2023 CVSSP, ByteDance 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 ... | 0 |
hf_public_repos/diffusers/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2.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/src/diffusers/pipelines | hf_public_repos/diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.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 |
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