




'''simple docstring'''





from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_librosa_available,
    is_note_seq_available,
    is_onnx_available,
    is_torch_available,
    is_transformers_available,
)


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_pt_objects import *  # noqa F403
else:
  from .consistency_models import ConsistencyModelPipeline
  from .dance_diffusion import DanceDiffusionPipeline
  from .ddim import DDIMPipeline
  from .ddpm import DDPMPipeline
  from .dit import DiTPipeline
  from .latent_diffusion import LDMSuperResolutionPipeline
  from .latent_diffusion_uncond import LDMPipeline
  from .pipeline_utils import AudioPipelineOutput, DiffusionPipeline, ImagePipelineOutput
  from .pndm import PNDMPipeline
  from .repaint import RePaintPipeline
  from .score_sde_ve import ScoreSdeVePipeline
  from .stochastic_karras_ve import KarrasVePipeline

try:
  if not (is_torch_available() and is_librosa_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_librosa_objects import *  # noqa F403
else:
  from .audio_diffusion import AudioDiffusionPipeline, Mel

try:
  if not (is_torch_available() and is_transformers_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
  from .alt_diffusion import AltDiffusionImgaImgPipeline, AltDiffusionPipeline
  from .audioldm import AudioLDMPipeline
  from .controlnet import (
      StableDiffusionControlNetImgaImgPipeline,
      StableDiffusionControlNetInpaintPipeline,
      StableDiffusionControlNetPipeline,
  )
  from .deepfloyd_if import (
      IFImgaImgPipeline,
      IFImgaImgSuperResolutionPipeline,
      IFInpaintingPipeline,
      IFInpaintingSuperResolutionPipeline,
      IFPipeline,
      IFSuperResolutionPipeline,
  )
  from .kandinsky import (
      KandinskyImgaImgPipeline,
      KandinskyInpaintPipeline,
      KandinskyPipeline,
      KandinskyPriorPipeline,
  )
  from .kandinskya_a import (
      KandinskyVaaControlnetImgaImgPipeline,
      KandinskyVaaControlnetPipeline,
      KandinskyVaaImgaImgPipeline,
      KandinskyVaaInpaintPipeline,
      KandinskyVaaPipeline,
      KandinskyVaaPriorEmbaEmbPipeline,
      KandinskyVaaPriorPipeline,
  )
  from .latent_diffusion import LDMTextToImagePipeline
  from .paint_by_example import PaintByExamplePipeline
  from .semantic_stable_diffusion import SemanticStableDiffusionPipeline
  from .shap_e import ShapEImgaImgPipeline, ShapEPipeline
  from .stable_diffusion import (
      CycleDiffusionPipeline,
      StableDiffusionAttendAndExcitePipeline,
      StableDiffusionDepthaImgPipeline,
      StableDiffusionDiffEditPipeline,
      StableDiffusionImageVariationPipeline,
      StableDiffusionImgaImgPipeline,
      StableDiffusionInpaintPipeline,
      StableDiffusionInpaintPipelineLegacy,
      StableDiffusionInstructPixaPixPipeline,
      StableDiffusionLatentUpscalePipeline,
      StableDiffusionLDMaDPipeline,
      StableDiffusionModelEditingPipeline,
      StableDiffusionPanoramaPipeline,
      StableDiffusionParadigmsPipeline,
      StableDiffusionPipeline,
      StableDiffusionPixaPixZeroPipeline,
      StableDiffusionSAGPipeline,
      StableDiffusionUpscalePipeline,
      StableUnCLIPImgaImgPipeline,
      StableUnCLIPPipeline,
  )
  from .stable_diffusion_safe import StableDiffusionPipelineSafe
  from .text_to_video_synthesis import TextToVideoSDPipeline, TextToVideoZeroPipeline, VideoToVideoSDPipeline
  from .unclip import UnCLIPImageVariationPipeline, UnCLIPPipeline
  from .unidiffuser import ImageTextPipelineOutput, UniDiffuserModel, UniDiffuserPipeline, UniDiffuserTextDecoder
  from .versatile_diffusion import (
      VersatileDiffusionDualGuidedPipeline,
      VersatileDiffusionImageVariationPipeline,
      VersatileDiffusionPipeline,
      VersatileDiffusionTextToImagePipeline,
  )
  from .vq_diffusion import VQDiffusionPipeline


try:
  if not (is_torch_available() and is_transformers_available() and is_invisible_watermark_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_transformers_and_invisible_watermark_objects import *  # noqa F403
else:
  from .stable_diffusion_xl import StableDiffusionXLImgaImgPipeline, StableDiffusionXLPipeline

try:
  if not is_onnx_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_onnx_objects import *  # noqa F403
else:
  from .onnx_utils import OnnxRuntimeModel

try:
  if not (is_torch_available() and is_transformers_available() and is_onnx_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_transformers_and_onnx_objects import *  # noqa F403
else:
  from .stable_diffusion import (
      OnnxStableDiffusionImgaImgPipeline,
      OnnxStableDiffusionInpaintPipeline,
      OnnxStableDiffusionInpaintPipelineLegacy,
      OnnxStableDiffusionPipeline,
      OnnxStableDiffusionUpscalePipeline,
      StableDiffusionOnnxPipeline,
  )

try:
  if not (is_torch_available() and is_transformers_available() and is_k_diffusion_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
  from .stable_diffusion import StableDiffusionKDiffusionPipeline

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_flax_objects import *  # noqa F403
else:
  from .pipeline_flax_utils import FlaxDiffusionPipeline


try:
  if not (is_flax_available() and is_transformers_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_flax_and_transformers_objects import *  # noqa F403
else:
  from .controlnet import FlaxStableDiffusionControlNetPipeline
  from .stable_diffusion import (
      FlaxStableDiffusionImgaImgPipeline,
      FlaxStableDiffusionInpaintPipeline,
      FlaxStableDiffusionPipeline,
  )
try:
  if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ..utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
  from .spectrogram_diffusion import MidiProcessor, SpectrogramDiffusionPipeline



"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE	:		str   =   logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	:		Any   =   {
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}






class      _SCREAMING_SNAKE_CASE							(			UpperCAmelCase				):



   '''simple docstring'''



   __UpperCAmelCase	:							Tuple    =    "opt"
   __UpperCAmelCase	:							Any    =    ["past_key_values"]







   def __init__(	self ,				_SCREAMING_SNAKE_CASE=50272 ,				_SCREAMING_SNAKE_CASE=768 ,				_SCREAMING_SNAKE_CASE=12 ,				_SCREAMING_SNAKE_CASE=3072 ,				_SCREAMING_SNAKE_CASE=2048 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=False ,				_SCREAMING_SNAKE_CASE=None ,				_SCREAMING_SNAKE_CASE=0.1 ,				_SCREAMING_SNAKE_CASE=0.0 ,				_SCREAMING_SNAKE_CASE=12 ,				_SCREAMING_SNAKE_CASE="relu" ,				_SCREAMING_SNAKE_CASE=0.0 ,				_SCREAMING_SNAKE_CASE=0.02 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=1 ,				_SCREAMING_SNAKE_CASE=2 ,				_SCREAMING_SNAKE_CASE=2 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=True ,				**_SCREAMING_SNAKE_CASE ,				):


      '''simple docstring'''

      super().__init__(
          pad_token_id=_SCREAMING_SNAKE_CASE ,				bos_token_id=_SCREAMING_SNAKE_CASE ,				eos_token_id=_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE ,				)
      __lowerCamelCase    		=					vocab_size
      __lowerCamelCase    		=					max_position_embeddings
      __lowerCamelCase    		=					num_attention_heads
      __lowerCamelCase    		=					word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
      __lowerCamelCase    		=					ffn_dim
      __lowerCamelCase    		=					hidden_size
      __lowerCamelCase    		=					num_hidden_layers
      __lowerCamelCase    		=					dropout
      __lowerCamelCase    		=					attention_dropout
      __lowerCamelCase    		=					activation_function
      __lowerCamelCase    		=					init_std
      __lowerCamelCase    		=					layerdrop
      __lowerCamelCase    		=					use_cache
      __lowerCamelCase    		=					do_layer_norm_before
      # We keep these variables at `True` for backward compatibility.
      __lowerCamelCase    		=					enable_bias
      __lowerCamelCase    		=					layer_norm_elementwise_affine

      # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
      # with checkpoints that have been fine-tuned before transformers v4.20.1
      # see https://github.com/facebookresearch/metaseq/pull/164
      __lowerCamelCase    		=					_remove_final_layer_norm






