repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/server/server.py | examples/server/server.py | import asyncio
import logging
import os
import random
import tempfile
import traceback
import uuid
import aiohttp
import torch
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel
from diffusers.pipelin... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pytorch_xla/training/text_to_image/train_text_to_image_xla.py | examples/research_projects/pytorch_xla/training/text_to_image/train_text_to_image_xla.py | import argparse
import os
import random
import time
from pathlib import Path
import datasets
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
import torch_xla.core.xla_model as xm
import torch_xla.debug.profiler as xp
import torch_xla.distributed.parallel_loader as pl
impor... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pytorch_xla/inference/flux/flux_inference.py | examples/research_projects/pytorch_xla/inference/flux/flux_inference.py | from argparse import ArgumentParser
from pathlib import Path
from time import perf_counter
import structlog
import torch
import torch_xla.core.xla_model as xm
import torch_xla.debug.metrics as met
import torch_xla.debug.profiler as xp
import torch_xla.distributed.xla_multiprocessing as xmp
import torch_xla.runtime as ... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/vae/vae_roundtrip.py | examples/research_projects/vae/vae_roundtrip.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/gligen/train_gligen_text.py | examples/research_projects/gligen/train_gligen_text.py | # from accelerate.utils import write_basic_config
#
# write_basic_config()
import argparse
import logging
import math
import os
import shutil
from pathlib import Path
import accelerate
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
import transformers
from accelerate import Accelerator
from... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/gligen/dataset.py | examples/research_projects/gligen/dataset.py | import os
import random
import torch
import torchvision.transforms as transforms
from PIL import Image
def recalculate_box_and_verify_if_valid(x, y, w, h, image_size, original_image_size, min_box_size):
scale = image_size / min(original_image_size)
crop_y = (original_image_size[1] * scale - image_size) // 2
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/gligen/make_datasets.py | examples/research_projects/gligen/make_datasets.py | import argparse
import os
import random
import torch
import torchvision
import torchvision.transforms as TS
from PIL import Image
from ram import inference_ram
from ram.models import ram
from tqdm import tqdm
from transformers import (
AutoModelForZeroShotObjectDetection,
AutoProcessor,
Blip2ForConditional... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/ip_adapter/tutorial_train_plus.py | examples/research_projects/ip_adapter/tutorial_train_plus.py | import argparse
import itertools
import json
import os
import random
import time
from pathlib import Path
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration
from ip_adapter.resampler import Resampler
from ip_adapter.utils import is_torch2_a... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/ip_adapter/tutorial_train_ip-adapter.py | examples/research_projects/ip_adapter/tutorial_train_ip-adapter.py | import argparse
import itertools
import json
import os
import random
import time
from pathlib import Path
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration
from ip_adapter.ip_adapter import ImageProjModel
from ip_adapter.utils import is_to... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/ip_adapter/tutorial_train_sdxl.py | examples/research_projects/ip_adapter/tutorial_train_sdxl.py | import argparse
import itertools
import json
import os
import random
import time
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration
from ip_adapter.ip_adapter import ImageProjModel
from ip_adapter... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/ip_adapter/tutorial_train_faceid.py | examples/research_projects/ip_adapter/tutorial_train_faceid.py | import argparse
import itertools
import json
import os
import random
import time
from pathlib import Path
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration
from ip_adapter.attention_processor_faceid import LoRAAttnProcessor, LoRAIPAttnProc... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py | examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py | examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py | examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py | examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py | examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py | examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py | examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/anytext_controlnet.py | examples/research_projects/anytext/anytext_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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/anytext.py | examples/research_projects/anytext/anytext.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
# Copyright (c) Alibaba, Inc. and its affiliates.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lic... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/RecMv1_enhance.py | examples/research_projects/anytext/ocr_recog/RecMv1_enhance.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .common import Activation
class ConvBNLayer(nn.Module):
def __init__(
self, num_channels, filter_size, num_filters, stride, padding, channels=None, num_groups=1, act="hard_swish"
):
super(ConvBNLayer, self).__init__()
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/common.py | examples/research_projects/anytext/ocr_recog/common.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class Hswish(nn.Module):
def __init__(self, inplace=True):
super(Hswish, self).__init__()
self.inplace = inplace
def forward(self, x):
return x * F.relu6(x + 3.0, inplace=self.inplace) / 6.0
# out = max(0, min(1, slo... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/RecSVTR.py | examples/research_projects/anytext/ocr_recog/RecSVTR.py | import numpy as np
import torch
import torch.nn as nn
from torch.nn import functional
from torch.nn.init import ones_, trunc_normal_, zeros_
def drop_path(x, drop_prob=0.0, training=False):
"""Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
the original name is mislead... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/RecModel.py | examples/research_projects/anytext/ocr_recog/RecModel.py | from torch import nn
from .RecCTCHead import CTCHead
from .RecMv1_enhance import MobileNetV1Enhance
from .RNN import Im2Im, Im2Seq, SequenceEncoder
backbone_dict = {"MobileNetV1Enhance": MobileNetV1Enhance}
neck_dict = {"SequenceEncoder": SequenceEncoder, "Im2Seq": Im2Seq, "None": Im2Im}
head_dict = {"CTCHead": CTCH... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/RNN.py | examples/research_projects/anytext/ocr_recog/RNN.py | import torch
from torch import nn
from .RecSVTR import Block
class Swish(nn.Module):
def __int__(self):
super(Swish, self).__int__()
def forward(self, x):
return x * torch.sigmoid(x)
class Im2Im(nn.Module):
def __init__(self, in_channels, **kwargs):
super().__init__()
s... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/anytext/ocr_recog/RecCTCHead.py | examples/research_projects/anytext/ocr_recog/RecCTCHead.py | from torch import nn
class CTCHead(nn.Module):
def __init__(
self, in_channels, out_channels=6625, fc_decay=0.0004, mid_channels=None, return_feats=False, **kwargs
):
super(CTCHead, self).__init__()
if mid_channels is None:
self.fc = nn.Linear(
in_channels,
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/autoencoderkl/train_autoencoderkl.py | examples/research_projects/autoencoderkl/train_autoencoderkl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py | examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py | # Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py | examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py | # Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/wuerstchen/text_to_image/modeling_efficient_net_encoder.py | examples/research_projects/wuerstchen/text_to_image/modeling_efficient_net_encoder.py | import torch.nn as nn
from torchvision.models import efficientnet_v2_l, efficientnet_v2_s
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.models.modeling_utils import ModelMixin
class EfficientNetEncoder(ModelMixin, ConfigMixin):
@register_to_config
def __init__(self,... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/wuerstchen/text_to_image/__init__.py | examples/research_projects/wuerstchen/text_to_image/__init__.py | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false | |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/dreambooth_inpaint/train_dreambooth_inpaint.py | examples/research_projects/dreambooth_inpaint/train_dreambooth_inpaint.py | import argparse
import itertools
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils import ProjectConfiguration, set... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/dreambooth_inpaint/train_dreambooth_inpaint_lora.py | examples/research_projects/dreambooth_inpaint/train_dreambooth_inpaint_lora.py | import argparse
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils import ProjectConfiguration, set_seed
from huggin... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py | examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py | examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py | examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py | import argparse
import inspect
import logging
import math
import os
from pathlib import Path
import accelerate
import datasets
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils import ProjectConfiguration
from datasets import... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/multi_token_textual_inversion/multi_token_clip.py | examples/research_projects/multi_token_textual_inversion/multi_token_clip.py | """
The main idea for this code is to provide a way for users to not need to bother with the hassle of multiple tokens for a concept by typing
a photo of <concept>_0 <concept>_1 ... and so on
and instead just do
a photo of <concept>
which gets translated to the above. This needs to work for both inference and training.... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/multi_token_textual_inversion/textual_inversion_flax.py | examples/research_projects/multi_token_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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/multi_token_textual_inversion/textual_inversion.py | examples/research_projects/multi_token_textual_inversion/textual_inversion.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py | examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/sd3_lora_colab/compute_embeddings.py | examples/research_projects/sd3_lora_colab/compute_embeddings.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/multi_subject_dreambooth/train_multi_subject_dreambooth.py | examples/research_projects/multi_subject_dreambooth/train_multi_subject_dreambooth.py | import argparse
import itertools
import json
import logging
import math
import uuid
import warnings
from os import environ, listdir, makedirs
from os.path import basename, join
from pathlib import Path
from typing import List
import datasets
import numpy as np
import torch
import torch.nn.functional as F
import torch.... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/intel_opts/inference_bf16.py | examples/research_projects/intel_opts/inference_bf16.py | import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
parser = argparse.ArgumentParser("Stable Diffusion script with intel optimization", add_help=False)
parser.add_argument("--dpm", action="store_true", help="Enable DPMSol... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/intel_opts/textual_inversion_dfq/text2images.py | examples/research_projects/intel_opts/textual_inversion_dfq/text2images.py | import argparse
import math
import os
import torch
from neural_compressor.utils.pytorch import load
from PIL import Image
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, StableDiffusionPipeline, UNet2DConditionModel
def parse_args():
parser = argparse.ArgumentParser()
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/intel_opts/textual_inversion_dfq/textual_inversion.py | examples/research_projects/intel_opts/textual_inversion_dfq/textual_inversion.py | import argparse
import itertools
import math
import os
import random
from pathlib import Path
from typing import Iterable
import numpy as np
import PIL
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration, set_se... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/intel_opts/textual_inversion/textual_inversion_bf16.py | examples/research_projects/intel_opts/textual_inversion/textual_inversion_bf16.py | import argparse
import itertools
import math
import os
import random
from pathlib import Path
import intel_extension_for_pytorch as ipex
import numpy as np
import PIL
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py | examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py | import argparse
import copy
import itertools
import logging
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils impor... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/colossalai/inference.py | examples/research_projects/colossalai/inference.py | import torch
from diffusers import StableDiffusionPipeline
model_id = "path-to-your-trained-model"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")
prompt = "A photo of sks dog in a bucket"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
imag... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/colossalai/train_dreambooth_colossalai.py | examples/research_projects/colossalai/train_dreambooth_colossalai.py | import argparse
import math
import os
from pathlib import Path
import colossalai
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.logging import disable_existing_loggers... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/flux_lora_quantization/compute_embeddings.py | examples/research_projects/flux_lora_quantization/compute_embeddings.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py | examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/controlnet/train_controlnet_webdataset.py | examples/research_projects/controlnet/train_controlnet_webdataset.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py | examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py | examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/sana/train_sana_sprint_diffusers.py | examples/research_projects/sana/train_sana_sprint_diffusers.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 Sana-Sprint team. All rights reserved.
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of ... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/consistency_training/train_cm_ct_unconditional.py | examples/research_projects/consistency_training/train_cm_ct_unconditional.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/control_lora/control_lora.py | examples/research_projects/control_lora/control_lora.py | import cv2
import numpy as np
import torch
from PIL import Image
from diffusers import (
AutoencoderKL,
ControlNetModel,
StableDiffusionXLControlNetPipeline,
UNet2DConditionModel,
)
from diffusers.utils import load_image, make_image_grid
pipe_id = "stabilityai/stable-diffusion-xl-base-1.0"
lora_id = ... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/promptdiffusion/pipeline_prompt_diffusion.py | examples/research_projects/promptdiffusion/pipeline_prompt_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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/promptdiffusion/convert_original_promptdiffusion_to_diffusers.py | examples/research_projects/promptdiffusion/convert_original_promptdiffusion_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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/promptdiffusion/promptdiffusioncontrolnet.py | examples/research_projects/promptdiffusion/promptdiffusioncontrolnet.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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/rdm/pipeline_rdm.py | examples/research_projects/rdm/pipeline_rdm.py | import inspect
from typing import Callable, List, Optional, Union
import torch
from PIL import Image
from retriever import Retriever, normalize_images, preprocess_images
from transformers import CLIPImageProcessor, CLIPModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPip... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/rdm/retriever.py | examples/research_projects/rdm/retriever.py | import os
from typing import List
import faiss
import numpy as np
import torch
from datasets import Dataset, load_dataset
from PIL import Image
from transformers import CLIPImageProcessor, CLIPModel, PretrainedConfig
from diffusers import logging
logger = logging.get_logger(__name__) # pylint: disable=invalid-name... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/realfill/train_realfill.py | examples/research_projects/realfill/train_realfill.py | import argparse
import copy
import itertools
import logging
import math
import os
import random
import shutil
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
import torchvision.transforms.v2 as transforms_v2
import transformers
from accelerate impo... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/realfill/infer.py | examples/research_projects/realfill/infer.py | import argparse
import os
import torch
from PIL import Image, ImageFilter
from transformers import CLIPTextModel
from diffusers import DPMSolverMultistepScheduler, StableDiffusionInpaintPipeline, UNet2DConditionModel
parser = argparse.ArgumentParser(description="Inference")
parser.add_argument(
"--model_path",
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pixart/run_pixart_alpha_controlnet_pipeline.py | examples/research_projects/pixart/run_pixart_alpha_controlnet_pipeline.py | import torch
import torchvision.transforms as T
from controlnet_aux import HEDdetector
from diffusers.utils import load_image
from examples.research_projects.pixart.controlnet_pixart_alpha import PixArtControlNetAdapterModel
from examples.research_projects.pixart.pipeline_pixart_alpha_controlnet import PixArtAlphaCont... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pixart/train_pixart_controlnet_hf.py | examples/research_projects/pixart/train_pixart_controlnet_hf.py | # 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/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pixart/pipeline_pixart_alpha_controlnet.py | examples/research_projects/pixart/pipeline_pixart_alpha_controlnet.py | # Copyright 2025 PixArt-Alpha 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
#
# Unl... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/pixart/controlnet_pixart_alpha.py | examples/research_projects/pixart/controlnet_pixart_alpha.py | from typing import Any, Dict, Optional
import torch
from torch import nn
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.models import PixArtTransformer2DModel
from diffusers.models.attention import BasicTransformerBlock
from diffusers.models.modeling_outputs import Transforme... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/diffusion_dpo/train_diffusion_dpo_sdxl.py | examples/research_projects/diffusion_dpo/train_diffusion_dpo_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 bram-w, 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/lic... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/diffusion_dpo/train_diffusion_dpo.py | examples/research_projects/diffusion_dpo/train_diffusion_dpo.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 bram-w, 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/lic... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/lora/train_text_to_image_lora.py | examples/research_projects/lora/train_text_to_image_lora.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/sdxl_flax/sdxl_single_aot.py | examples/research_projects/sdxl_flax/sdxl_single_aot.py | import time
import jax
import jax.numpy as jnp
import numpy as np
from flax.jax_utils import replicate
from jax import pmap
# Let's cache the model compilation, so that it doesn't take as long the next time around.
from jax.experimental.compilation_cache import compilation_cache as cc
from diffusers import FlaxStabl... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/sdxl_flax/sdxl_single.py | examples/research_projects/sdxl_flax/sdxl_single.py | # Show best practices for SDXL JAX
import time
import jax
import jax.numpy as jnp
import numpy as np
from flax.jax_utils import replicate
# Let's cache the model compilation, so that it doesn't take as long the next time around.
from jax.experimental.compilation_cache import compilation_cache as cc
from diffusers im... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py | examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/unconditional_image_generation/train_unconditional.py | examples/unconditional_image_generation/train_unconditional.py | import argparse
import inspect
import logging
import math
import os
import shutil
from datetime import timedelta
from pathlib import Path
import accelerate
import datasets
import torch
import torch.nn.functional as F
from accelerate import Accelerator, InitProcessGroupKwargs
from accelerate.logging import get_logger
f... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/unconditional_image_generation/test_unconditional.py | examples/unconditional_image_generation/test_unconditional.py | # coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/inference/image_to_image.py | examples/inference/image_to_image.py | import warnings
from diffusers import StableDiffusionImg2ImgPipeline # noqa F401
warnings.warn(
"The `image_to_image.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionImg2ImgPipeline` instead."
)
| python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/inference/inpainting.py | examples/inference/inpainting.py | import warnings
from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline # noqa F401
warnings.warn(
"The `inpainting.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionInpaintPipeline` instead."
)
| python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/flux-control/train_control_flux.py | examples/flux-control/train_control_flux.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/flux-control/train_control_lora_flux.py | examples/flux-control/train_control_lora_flux.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/test_lcm_lora.py | examples/consistency_distillation/test_lcm_lora.py | # coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py | examples/consistency_distillation/train_lcm_distill_lora_sdxl.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 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... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py | examples/consistency_distillation/train_lcm_distill_sdxl_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py | examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/train_lcm_distill_sd_wds.py | examples/consistency_distillation/train_lcm_distill_sd_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py | examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/reinforcement_learning/run_diffuser_locomotion.py | examples/reinforcement_learning/run_diffuser_locomotion.py | import d4rl # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline
config = {
"n_samples": 64,
"horizon": 32,
"num_inference_steps": 20,
"n_guide_steps": 2, # can set to 0 for faster sampling, does not use value network
"scale_grad_by_std": True,
"scale": 0.1,... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/reinforcement_learning/diffusion_policy.py | examples/reinforcement_learning/diffusion_policy.py | import numpy as np
import numpy.core.multiarray as multiarray
import torch
import torch.nn as nn
from huggingface_hub import hf_hub_download
from torch.serialization import add_safe_globals
from diffusers import DDPMScheduler, UNet1DModel
add_safe_globals(
[
multiarray._reconstruct,
np.ndarray,
... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | false |
huggingface/diffusers | https://github.com/huggingface/diffusers/blob/47378066c002573613a1dba686570fbd5a1cf48a/examples/model_search/pipeline_easy.py | examples/model_search/pipeline_easy.py | # coding=utf-8
# Copyright 2025 suzukimain
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | python | Apache-2.0 | 47378066c002573613a1dba686570fbd5a1cf48a | 2026-01-04T14:42:56.953111Z | true |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/noxfile.py | noxfile.py | import nox
@nox.session(reuse_venv=True, name="test-pydantic-v1")
def test_pydantic_v1(session: nox.Session) -> None:
session.install("-r", "requirements-dev.lock")
session.install("pydantic<2")
session.run("pytest", "--showlocals", "--ignore=tests/functional", *session.posargs)
| python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/scripts/detect-breaking-changes.py | scripts/detect-breaking-changes.py | from __future__ import annotations
import sys
from typing import Iterator
from pathlib import Path
import rich
import griffe
from rich.text import Text
from rich.style import Style
def public_members(obj: griffe.Object | griffe.Alias) -> dict[str, griffe.Object | griffe.Alias]:
if isinstance(obj, griffe.Alias):... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/scripts/utils/ruffen-docs.py | scripts/utils/ruffen-docs.py | # fork of https://github.com/asottile/blacken-docs adapted for ruff
from __future__ import annotations
import re
import sys
import argparse
import textwrap
import contextlib
import subprocess
from typing import Match, Optional, Sequence, Generator, NamedTuple, cast
MD_RE = re.compile(
r"(?P<before>^(?P<indent> *)... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_models.py | src/openai/_models.py | from __future__ import annotations
import os
import inspect
import weakref
from typing import TYPE_CHECKING, Any, Type, Tuple, Union, Generic, TypeVar, Callable, Optional, cast
from datetime import date, datetime
from typing_extensions import (
List,
Unpack,
Literal,
ClassVar,
Protocol,
Require... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | true |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_response.py | src/openai/_response.py | from __future__ import annotations
import os
import inspect
import logging
import datetime
import functools
from types import TracebackType
from typing import (
TYPE_CHECKING,
Any,
Union,
Generic,
TypeVar,
Callable,
Iterator,
AsyncIterator,
cast,
overload,
)
from typing_extensio... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_constants.py | src/openai/_constants.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
import httpx
RAW_RESPONSE_HEADER = "X-Stainless-Raw-Response"
OVERRIDE_CAST_TO_HEADER = "____stainless_override_cast_to"
# default timeout is 10 minutes
DEFAULT_TIMEOUT = httpx.Timeout(timeout=600, connect=5.0)
DEFAULT_MAX_RETRIES ... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_exceptions.py | src/openai/_exceptions.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional, cast
from typing_extensions import Literal
import httpx
from ._utils import is_dict
from ._models import construct_type
if TYPE_CHECKING:
fro... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_legacy_response.py | src/openai/_legacy_response.py | from __future__ import annotations
import os
import inspect
import logging
import datetime
import functools
from typing import (
TYPE_CHECKING,
Any,
Union,
Generic,
TypeVar,
Callable,
Iterator,
AsyncIterator,
cast,
overload,
)
from typing_extensions import Awaitable, ParamSpec, ... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_resource.py | src/openai/_resource.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import time
from typing import TYPE_CHECKING
import anyio
if TYPE_CHECKING:
from ._client import OpenAI, AsyncOpenAI
class SyncAPIResource:
_client: OpenAI
def __init__(self, clien... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_qs.py | src/openai/_qs.py | from __future__ import annotations
from typing import Any, List, Tuple, Union, Mapping, TypeVar
from urllib.parse import parse_qs, urlencode
from typing_extensions import Literal, get_args
from ._types import NotGiven, not_given
from ._utils import flatten
_T = TypeVar("_T")
ArrayFormat = Literal["comma", "repeat"... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | false |
openai/openai-python | https://github.com/openai/openai-python/blob/d3e632171c7842abf97b26379f564531d80ad096/src/openai/_base_client.py | src/openai/_base_client.py | from __future__ import annotations
import sys
import json
import time
import uuid
import email
import asyncio
import inspect
import logging
import platform
import email.utils
from types import TracebackType
from random import random
from typing import (
TYPE_CHECKING,
Any,
Dict,
Type,
Union,
Ge... | python | Apache-2.0 | d3e632171c7842abf97b26379f564531d80ad096 | 2026-01-04T14:43:29.641198Z | true |
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