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diffusers
tests/testing_utils.py
.py
import functools import glob import importlib import importlib.metadata import inspect import io import logging import multiprocessing import os import random import re import struct import sys import tempfile import time import urllib.parse from collections import UserDict from contextlib import contextmanager from io...
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tests/conftest.py
.py
# Copyright 2026 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...
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tests/hooks/test_mag_cache.py
.py
# Copyright 2026 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 agreed to in writ...
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tests/hooks/test_group_offloading.py
.py
# Copyright 2026 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 agreed to in writ...
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tests/hooks/test_hooks.py
.py
# Copyright 2026 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 agreed to in writ...
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tests/schedulers/test_scheduler_flow_map_euler_discrete.py
.py
# Copyright 2026 The AnyFlow Team, NVIDIA Corp., 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-...
190
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tests/schedulers/test_scheduler_dpm_sde.py
.py
import torch from diffusers import DPMSolverSDEScheduler from ..testing_utils import require_torchsde, torch_device from .test_schedulers import SchedulerCommonTest @require_torchsde class DPMSolverSDESchedulerTest(SchedulerCommonTest): scheduler_classes = (DPMSolverSDEScheduler,) num_inference_steps = 10 ...
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tests/schedulers/test_scheduler_euler.py
.py
import torch from diffusers import EulerDiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class EulerDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (EulerDiscreteScheduler,) num_inference_steps = 10 def get_scheduler_config(self...
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tests/schedulers/test_scheduler_discrete_ddim.py
.py
import unittest import torch from diffusers import DiscreteDDIMScheduler class DiscreteDDIMSchedulerTest(unittest.TestCase): def get_scheduler(self, **kwargs): config = {"num_inference_steps": 8} config.update(kwargs) return DiscreteDDIMScheduler(**config) def test_set_timesteps(sel...
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tests/schedulers/test_scheduler_block_refinement.py
.py
import tempfile import unittest import torch from diffusers import BlockRefinementScheduler class BlockRefinementSchedulerTest(unittest.TestCase): def get_scheduler(self, **kwargs): config = { "block_length": 32, "num_inference_steps": 8, "threshold": 0.95, ...
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tests/schedulers/test_schedulers.py
.py
# coding=utf-8 # Copyright 2026 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...
870
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diffusers
tests/schedulers/test_scheduler_deis.py
.py
import tempfile import unittest import torch from diffusers import ( DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler, ) from .test_schedulers import SchedulerCommonTest class DEISMultistepSchedulerTest(SchedulerCommonTest): scheduler_cl...
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tests/schedulers/test_scheduler_edm_dpmsolver_multistep.py
.py
import tempfile import unittest import torch from diffusers import EDMDPMSolverMultistepScheduler from .test_schedulers import SchedulerCommonTest class EDMDPMSolverMultistepSchedulerTest(SchedulerCommonTest): scheduler_classes = (EDMDPMSolverMultistepScheduler,) forward_default_kwargs = (("num_inference_s...
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tests/schedulers/test_scheduler_edm_euler.py
.py
import inspect import tempfile import unittest from typing import Dict, List, Tuple import torch from diffusers import EDMEulerScheduler from .test_schedulers import SchedulerCommonTest class EDMEulerSchedulerTest(SchedulerCommonTest): scheduler_classes = (EDMEulerScheduler,) forward_default_kwargs = (("nu...
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tests/schedulers/test_scheduler_ddim_inverse.py
.py
import unittest import torch from diffusers import DDIMInverseScheduler from .test_schedulers import SchedulerCommonTest class DDIMInverseSchedulerTest(SchedulerCommonTest): scheduler_classes = (DDIMInverseScheduler,) forward_default_kwargs = (("num_inference_steps", 50),) def get_scheduler_config(sel...
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tests/schedulers/test_scheduler_dpm_single.py
.py
import tempfile import unittest import torch from diffusers import ( DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler, ) from .test_schedulers import SchedulerCommonTest class DPMSolverSinglestepSchedulerTest(SchedulerCommonTest): schedu...
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tests/schedulers/test_scheduler_heun.py
.py
import torch from diffusers import HeunDiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class HeunDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (HeunDiscreteScheduler,) num_inference_steps = 10 def get_scheduler_config(self, *...
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diffusers
tests/schedulers/test_scheduler_kdpm2_discrete.py
.py
import torch from diffusers import KDPM2DiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class KDPM2DiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (KDPM2DiscreteScheduler,) num_inference_steps = 10 def get_scheduler_config(self...
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tests/schedulers/test_scheduler_lcm.py
.py
import tempfile from typing import Dict, List, Tuple import torch from diffusers import LCMScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class LCMSchedulerTest(SchedulerCommonTest): scheduler_classes = (LCMScheduler,) forward_default_kwargs = (("num_inf...
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tests/schedulers/test_scheduler_ddim.py
.py
import torch from diffusers import DDIMScheduler from .test_schedulers import SchedulerCommonTest class DDIMSchedulerTest(SchedulerCommonTest): scheduler_classes = (DDIMScheduler,) forward_default_kwargs = (("eta", 0.0), ("num_inference_steps", 50)) def get_scheduler_config(self, **kwargs): con...
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diffusers
tests/schedulers/test_scheduler_ddim_parallel.py
.py
# Copyright 2025 ParaDiGMS authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless...
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diffusers
tests/schedulers/test_scheduler_dpm_multi.py
.py
import tempfile import unittest import torch from diffusers import ( DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler, ) from .test_schedulers import SchedulerCommonTest class DPMSolverMultistepSchedulerTest(SchedulerCommonTest): schedul...
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tests/schedulers/test_scheduler_kdpm2_ancestral.py
.py
import torch from diffusers import KDPM2AncestralDiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class KDPM2AncestralDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (KDPM2AncestralDiscreteScheduler,) num_inference_steps = 10 de...
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tests/schedulers/test_scheduler_score_sde_ve.py
.py
import tempfile import unittest import numpy as np import torch from diffusers import ScoreSdeVeScheduler class ScoreSdeVeSchedulerTest(unittest.TestCase): # TODO adapt with class SchedulerCommonTest (scheduler needs Numpy Integration) scheduler_classes = (ScoreSdeVeScheduler,) forward_default_kwargs = ...
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tests/schedulers/test_scheduler_vq_diffusion.py
.py
import unittest import torch import torch.nn.functional as F from diffusers import VQDiffusionScheduler from .test_schedulers import SchedulerCommonTest class VQDiffusionSchedulerTest(SchedulerCommonTest): scheduler_classes = (VQDiffusionScheduler,) def get_scheduler_config(self, **kwargs): config...
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diffusers
tests/schedulers/test_scheduler_ddpm_parallel.py
.py
# Copyright 2025 ParaDiGMS authors and The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless...
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diffusers
tests/schedulers/test_scheduler_unclip.py
.py
import unittest import torch from diffusers import UnCLIPScheduler from .test_schedulers import SchedulerCommonTest # UnCLIPScheduler is a modified DDPMScheduler with a subset of the configuration. class UnCLIPSchedulerTest(SchedulerCommonTest): scheduler_classes = (UnCLIPScheduler,) def get_scheduler_con...
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tests/schedulers/test_scheduler_tcd.py
.py
import torch from diffusers import TCDScheduler from .test_schedulers import SchedulerCommonTest class TCDSchedulerTest(SchedulerCommonTest): scheduler_classes = (TCDScheduler,) forward_default_kwargs = (("num_inference_steps", 10),) def get_scheduler_config(self, **kwargs): config = { ...
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tests/schedulers/test_scheduler_dpm_multi_inverse.py
.py
import tempfile import torch from diffusers import DPMSolverMultistepInverseScheduler, DPMSolverMultistepScheduler from .test_schedulers import SchedulerCommonTest class DPMSolverMultistepSchedulerTest(SchedulerCommonTest): scheduler_classes = (DPMSolverMultistepInverseScheduler,) forward_default_kwargs = ...
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diffusers
tests/schedulers/test_scheduler_entropy_bound.py
.py
import unittest import torch from diffusers import EntropyBoundScheduler class EntropyBoundSchedulerTest(unittest.TestCase): def get_scheduler(self, **kwargs): config = {"entropy_bound": 0.1, "num_inference_steps": 8} config.update(kwargs) return EntropyBoundScheduler(**config) def ...
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tests/schedulers/test_scheduler_lms.py
.py
import torch from diffusers import LMSDiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class LMSDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (LMSDiscreteScheduler,) num_inference_steps = 10 def get_scheduler_config(self, **kw...
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tests/schedulers/test_scheduler_sasolver.py
.py
import torch from diffusers import SASolverScheduler from ..testing_utils import require_torchsde, torch_device from .test_schedulers import SchedulerCommonTest @require_torchsde class SASolverSchedulerTest(SchedulerCommonTest): scheduler_classes = (SASolverScheduler,) forward_default_kwargs = (("num_infere...
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tests/schedulers/test_scheduler_consistency_model.py
.py
import torch from diffusers import CMStochasticIterativeScheduler from .test_schedulers import SchedulerCommonTest class CMStochasticIterativeSchedulerTest(SchedulerCommonTest): scheduler_classes = (CMStochasticIterativeScheduler,) num_inference_steps = 10 def get_scheduler_config(self, **kwargs): ...
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tests/schedulers/test_scheduler_pndm.py
.py
import tempfile import unittest import torch from diffusers import PNDMScheduler from .test_schedulers import SchedulerCommonTest class PNDMSchedulerTest(SchedulerCommonTest): scheduler_classes = (PNDMScheduler,) forward_default_kwargs = (("num_inference_steps", 50),) def get_scheduler_config(self, **...
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tests/schedulers/test_scheduler_ddpm.py
.py
import torch from diffusers import DDPMScheduler from .test_schedulers import SchedulerCommonTest class DDPMSchedulerTest(SchedulerCommonTest): scheduler_classes = (DDPMScheduler,) def get_scheduler_config(self, **kwargs): config = { "num_train_timesteps": 1000, "beta_start"...
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tests/schedulers/test_scheduler_unipc.py
.py
import tempfile import torch from diffusers import ( DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler, ) from .test_schedulers import SchedulerCommonTest class UniPCMultistepSchedulerTest(SchedulerCommonTest): scheduler_classes = (UniPCM...
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tests/schedulers/test_scheduler_euler_ancestral.py
.py
import torch from diffusers import EulerAncestralDiscreteScheduler from ..testing_utils import torch_device from .test_schedulers import SchedulerCommonTest class EulerAncestralDiscreteSchedulerTest(SchedulerCommonTest): scheduler_classes = (EulerAncestralDiscreteScheduler,) num_inference_steps = 10 de...
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tests/schedulers/test_scheduler_ipndm.py
.py
import tempfile import unittest import torch from diffusers import IPNDMScheduler from .test_schedulers import SchedulerCommonTest class IPNDMSchedulerTest(SchedulerCommonTest): scheduler_classes = (IPNDMScheduler,) forward_default_kwargs = (("num_inference_steps", 50),) def get_scheduler_config(self,...
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tests/quantization/test_pipeline_level_quantization.py
.py
# coding=utf-8 # Copyright 2025 The HuggingFace Team 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 clone of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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tests/quantization/utils.py
.py
from diffusers.utils import is_torch_available from ..testing_utils import ( backend_empty_cache, backend_max_memory_allocated, backend_reset_peak_memory_stats, torch_device, ) if is_torch_available(): import torch import torch.nn as nn class LoRALayer(nn.Module): """Wraps a line...
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tests/quantization/test_torch_compile_utils.py
.py
# coding=utf-8 # Copyright 2025 The HuggingFace Team 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 clone of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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tests/quantization/torchao/test_torchao.py
.py
# coding=utf-8 # Copyright 2026 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
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tests/quantization/modelopt/test_modelopt.py
.py
import copy import gc import os import tempfile import pytest from diffusers import NVIDIAModelOptConfig, SD3Transformer2DModel, StableDiffusion3Pipeline from diffusers.utils import is_nvidia_modelopt_available, is_torch_available from ...testing_utils import ( backend_empty_cache, backend_reset_peak_memory_...
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tests/quantization/bnb/test_4bit.py
.py
# coding=utf-8 # Copyright 2025 The HuggingFace Team 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 clone of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
688
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tests/quantization/bnb/test_mixed_int8.py
.py
# coding=utf-8 # Copyright 2025 The HuggingFace Team 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 clone of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
803
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diffusers
tests/quantization/quanto/test_quanto.py
.py
import gc import pytest from diffusers import FluxPipeline, FluxTransformer2DModel, QuantoConfig from diffusers.utils import is_torch_available from ...testing_utils import ( backend_empty_cache, backend_reset_peak_memory_stats, enable_full_determinism, nightly, require_accelerate, require_ac...
177
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tests/quantization/gguf/test_gguf.py
.py
import gc import numpy as np import pytest import torch import torch.nn as nn from diffusers import ( AuraFlowPipeline, AuraFlowTransformer2DModel, DiffusionPipeline, FluxControlPipeline, FluxPipeline, FluxTransformer2DModel, GGUFQuantizationConfig, HiDreamImageTransformer2DModel, ...
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tests/remote/test_remote_decode.py
.py
# coding=utf-8 # Copyright 2026 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...
537
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tests/remote/test_remote_encode.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/test_pipelines.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/pipeline_params.py
.py
# These are canonical sets of parameters for different types of pipelines. # They are set on subclasses of `PipelineTesterMixin` as `params` and # `batch_params`. # # If a pipeline's set of arguments has minor changes from one of the common sets # of arguments, do not make modifications to the existing common sets of a...
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tests/pipelines/test_pipeline_utils.py
.py
import contextlib import io import json import os import re import tempfile import uuid import pytest import torch from huggingface_hub import ModelCard, delete_repo from huggingface_hub.utils import is_jinja_available from PIL import Image from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer from di...
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tests/pipelines/test_pipelines_common.py
.py
import gc import inspect import json import os import tempfile import unittest from typing import Any, Callable, Dict import numpy as np import PIL.Image import pytest import torch import torch.nn as nn import diffusers from diffusers import ( AsymmetricAutoencoderKL, AutoencoderKL, AutoencoderTiny, C...
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tests/pipelines/test_pipelines_auto.py
.py
# coding=utf-8 # Copyright 2026 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...
578
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diffusers
tests/pipelines/test_pipelines_combined.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/test_pipelines_onnx_common.py
.py
from ..testing_utils import require_onnxruntime @require_onnxruntime class OnnxPipelineTesterMixin: """ This mixin is designed to be used with unittest.TestCase classes. It provides a set of common tests for each ONNXRuntime pipeline, e.g. saving and loading the pipeline, equivalence of dict and tuple...
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tests/pipelines/flux2/test_pipeline_flux2_klein_inpaint.py
.py
import random import pytest import torch from transformers import Qwen2TokenizerFast, Qwen3Config, Qwen3ForCausalLM from diffusers import ( AutoencoderKLFlux2, FlowMatchEulerDiscreteScheduler, Flux2KleinInpaintPipeline, Flux2Transformer2DModel, ) from ...testing_utils import floats_tensor, torch_devi...
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tests/pipelines/flux2/test_pipeline_flux2_klein_kv.py
.py
import pytest import torch from PIL import Image from transformers import Qwen2TokenizerFast, Qwen3Config, Qwen3ForCausalLM from diffusers import ( AutoencoderKLFlux2, FlowMatchEulerDiscreteScheduler, Flux2KleinKVPipeline, Flux2Transformer2DModel, ) from ...testing_utils import assert_tensors_close, t...
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tests/pipelines/flux2/test_pipeline_flux2_klein.py
.py
import gc import os import numpy as np import pytest import torch from PIL import Image from transformers import Qwen2TokenizerFast, Qwen3Config, Qwen3ForCausalLM from diffusers import ( AutoencoderKLFlux2, FlowMatchEulerDiscreteScheduler, Flux2KleinPipeline, Flux2Transformer2DModel, ) from ...testin...
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tests/pipelines/flux2/test_pipeline_flux2.py
.py
import torch from transformers import AutoProcessor, Mistral3Config, Mistral3ForConditionalGeneration from diffusers import ( AutoencoderKLFlux2, FlowMatchEulerDiscreteScheduler, Flux2Pipeline, Flux2Transformer2DModel, ) from ...testing_utils import assert_tensors_close, torch_device from ..testing_ut...
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tests/pipelines/stable_cascade/test_stable_cascade_prior.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_cascade/test_stable_cascade_decoder.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_cascade/test_stable_cascade_combined.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/easyanimate/test_easyanimate.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
295
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tests/pipelines/lumina2/test_pipeline_lumina2.py
.py
import unittest import torch from transformers import AutoTokenizer, Gemma2Config, Gemma2Model from diffusers import ( AutoencoderKL, FlowMatchEulerDiscreteScheduler, Lumina2Pipeline, Lumina2Transformer2DModel, ) from ..test_pipelines_common import PipelineTesterMixin class Lumina2PipelineFastTests...
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tests/pipelines/ace_step/test_ace_step.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/testing_utils/utils.py
.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...
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tests/pipelines/testing_utils/__init__.py
.py
from .cache import ( CacheTesterMixin, FasterCacheTesterMixin, FirstBlockCacheTesterMixin, MagCacheTesterMixin, PyramidAttentionBroadcastTesterMixin, TaylorSeerCacheTesterMixin, ) from .common import BasePipelineTesterConfig, PipelineTesterMixin from .memory import ( GroupOffloadTesterMixin,...
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tests/pipelines/testing_utils/common.py
.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...
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tests/pipelines/testing_utils/cache.py
.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...
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tests/pipelines/testing_utils/memory.py
.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...
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tests/pipelines/kandinsky3/test_kandinsky3.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/kandinsky3/test_kandinsky3_img2img.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/prx/test_pipeline_prx.py
.py
import unittest import numpy as np import torch from transformers import AutoTokenizer from transformers.models.t5gemma.configuration_t5gemma import T5GemmaConfig, T5GemmaModuleConfig from transformers.models.t5gemma.modeling_t5gemma import T5GemmaEncoder from diffusers.models import AutoencoderDC, AutoencoderKL from...
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tests/pipelines/prx/test_pipeline_prx_pixel.py
.py
import unittest import numpy as np import torch from transformers import Qwen2Tokenizer, Qwen3Config, Qwen3Model from diffusers.models.transformers.transformer_prx import PRXTransformer2DModel from diffusers.pipelines.prx.pipeline_prx_pixel import PRXPixelPipeline from diffusers.schedulers import FlowMatchEulerDiscre...
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tests/pipelines/glm_image/test_glm_image.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/controlnet_flux/test_controlnet_flux_inpaint.py
.py
import random import unittest import numpy as np import torch from transformers import AutoConfig, AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxControlNetInpaintPipeline, FluxControlNetModel, ...
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tests/pipelines/controlnet_flux/test_controlnet_flux.py
.py
# coding=utf-8 # Copyright 2025 HuggingFace Inc and The InstantX 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 b...
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tests/pipelines/controlnet_flux/test_controlnet_flux_img2img.py
.py
import unittest import numpy as np import torch from transformers import AutoConfig, AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel from diffusers import ( AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxControlNetImg2ImgPipeline, FluxControlNetModel, FluxTransform...
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tests/pipelines/controlnet_sd3/test_controlnet_inpaint_sd3.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/controlnet_sd3/test_controlnet_sd3.py
.py
# coding=utf-8 # Copyright 2025 HuggingFace Inc and The InstantX 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 b...
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tests/pipelines/cogvideo/test_cogvideox.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/cogvideo/test_cogvideox_fun_control.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/cogvideo/test_cogvideox_image2video.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/cogvideo/test_cogvideox_video2video.py
.py
# Copyright 2025 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/hunyuandit/test_hunyuan_dit.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/latent_diffusion/test_latent_diffusion.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/krea2/test_krea2.py
.py
# Copyright 2026 The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...
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tests/pipelines/bria/test_pipeline_bria.py
.py
# Copyright 2024 Bria AI 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 required ...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion_latent_upscale.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion_inpaint.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion_depth.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion_upscale.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py
.py
# coding=utf-8 # Copyright 2026 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...
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tests/pipelines/kandinsky5/test_kandinsky5_t2i.py
.py
# Copyright 2025 The Kandinsky Team and The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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tests/pipelines/kandinsky5/test_kandinsky5_i2v.py
.py
# Copyright 2025 The Kandinsky Team and The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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tests/pipelines/kandinsky5/test_kandinsky5_i2i.py
.py
# Copyright 2025 The Kandinsky Team and The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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tests/pipelines/kandinsky5/test_kandinsky5.py
.py
# Copyright 2025 The Kandinsky Team and The HuggingFace Team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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