PrunaAI

/

runwayml-stable-diffusion-v1-5-turbo-tiny-green-smashed

like 15

Follow

Pruna AI 228

• "dill._dill._create_code",
• "diffusers.models.autoencoders.vae.Encoder",
• "torch.utils._contextlib._DecoratorContextManager.clone",
• "diffusers.models.unets.unet_2d_blocks.UNetMidBlock2DCrossAttn.forward",
• "typing.cast",
• "diffusers.models.embeddings.Timesteps",
• "diffusers.models.unets.unet_2d_blocks.DownBlock2D.forward",
• "_frozen_importlib.ModuleSpec",
• "transformers.models.clip.modeling_clip.CLIPTextTransformer",
• "diffusers.configuration_utils.FrozenDict",
• "diffusers.models.unets.unet_2d_blocks.UNetMidBlock2DCrossAttn",
• "transformers.models.clip.modeling_clip.CLIPVisionTransformer",
• "diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline",
• "transformers.models.clip.modeling_clip.CLIPTextEmbeddings",
• "typing.TypeVar",
• "transformers.models.clip.tokenization_clip.CLIPTokenizer",
• "transformers.activations.QuickGELUActivation",
• "dill._dill._import_module",
• "torch.storage._load_from_bytes",
• "torch.FloatTensor",
• "torch.float32",
• "torch.nn.modules.sparse.Embedding",
• "diffusers.models.unets.unet_2d_blocks.CrossAttnUpBlock2D",
• "torch.utils._contextlib.context_decorator",
• "transformers.models.clip.configuration_clip.CLIPConfig",
• "diffusers.models.unets.unet_2d_blocks.UNetMidBlock2D",
• "pit.x_fast.compile.X_Fast_Compiler",
• "typing.List",
• "transformers.models.clip.modeling_clip.CLIPMLP",
• "PIL.Image.Image",
• "diffusers.models.attention.BasicTransformerBlock",
• "diffusers.models.unets.unet_2d_blocks.DownBlock2D",
• "dill._dill._create_function",
• "diffusers.models.downsampling.Downsample2D.forward",
• "diffusers.models.unets.unet_2d_blocks.CrossAttnDownBlock2D.forward",
• "torch.nn.modules.container.ModuleList",
• "pruna_engine.SmashConfig.SmashConfig",
• "diffusers.models.unets.unet_2d_condition.UNet2DConditionModel.forward",
• "diffusers.models.transformers.transformer_2d.Transformer2DModel",
• "DeepCache.extension.deepcache.__dict__",
• "numpy.dtype",
• "transformers.models.clip.modeling_clip.CLIPTextModel",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.clip.modeling_clip.CLIPVisionModel",
• "collections.OrderedDict",
• "diffusers.models.unets.unet_2d_blocks.UpBlock2D.forward",
• "diffusers.models.unets.unet_2d_blocks.UpBlock2D",
• "torch.nn.modules.linear.Linear",
• "transformers.models.clip.tokenization_clip.BasicTokenizer",
• "numpy.core.multiarray._reconstruct",
• "diffusers.models.unets.unet_2d_blocks.CrossAttnDownBlock2D",
• "dill._dill._create_array",
• "diffusers.models.downsampling.Downsample2D",
• "diffusers.image_processor.VaeImageProcessor",
• "typing.Any",
• "pit.hyper_tile.hyper_tile.__dict__",
• "numpy.ndarray",
• "dill._dill._create_cell",
• "torch._utils._rebuild_parameter",
• "pit.step_caching.step_caching.DeepCachePipelineHelper",
• "regex._regex.compile",
• "pit.hyper_tile.hyper_tile.HypertilesHelper",
• "torch.utils._contextlib.F",
• "torch.nn.modules.dropout.Dropout",
• "transformers.tokenization_utils.Trie",
• "torch.nn.modules.normalization.LayerNorm",
• "diffusers.models.unets.unet_2d_condition.UNet2DConditionModel",
• "diffusers.models.transformers.transformer_2d.Transformer2DModel.forward",
• "typing.Dict",
• "_frozen_importlib_external.SourceFileLoader",
• "transformers.models.clip.modeling_clip.CLIPEncoder",
• "pit.diffusers2.diffusers2.Diffusers2Compiler",
• "diffusers.models.unets.unet_2d_blocks.CrossAttnUpBlock2D.forward",
• "dill._dill._load_type",
• "diffusers.models.resnet.ResnetBlock2D.forward",
• "dill._dill",
• "transformers.models.clip.image_processing_clip.CLIPImageProcessor",
• "diffusers.models.resnet.ResnetBlock2D",
• "typing.Callable",
• "torch._C.Generator",
• "diffusers.models.unets.unet_2d_blocks.DownEncoderBlock2D",
• "diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.__dict__",
• "transformers.models.clip.configuration_clip.CLIPTextConfig",
• "diffusers.pipelines.stable_diffusion.safety_checker.StableDiffusionSafetyChecker",
• "torch.utils._contextlib._NoParamDecoratorContextManager",
• "torch.nn.modules.activation.SiLU",
• "diffusers.models.upsampling.Upsample2D",
• "diffusers.models.autoencoders.vae.Decoder",
• "_operator.getitem",
• "sacred.config.custom_containers.ReadOnlyList",
• "torch.utils._contextlib._wrap_generator",
• "diffusers.models.attention.FeedForward",
• "transformers.models.clip.configuration_clip.CLIPVisionConfig",
• "diffusers.models.attention_processor.AttnProcessor2_0",
• "torch.nn.modules.normalization.GroupNorm",
• "typing.Union",
• "diffusers.models.activations.GEGLU",
• "diffusers.models.embeddings.TimestepEmbedding",
• "diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL",
• "builtins.getattr",
• "torch.utils._contextlib._DecoratorContextManager",
• "dill._dill._eval_repr",
• "transformers.models.clip.modeling_clip.CLIPVisionEmbeddings",
• "diffusers.models.unets.unet_2d_blocks.UpDecoderBlock2D",
• "tokenizers.AddedToken",
• "builtins.setattr",
• "torch.autograd.grad_mode.no_grad",
• "DeepCache.extension.deepcache.DeepCacheSDHelper",
• "torch.nn.modules.conv.Conv2d",
• "diffusers.models.upsampling.Upsample2D.forward",
• "builtins.__dict__",
• "diffusers.models.attention_processor.Attention",
• "transformers.models.clip.modeling_clip.CLIPEncoderLayer",
• "transformers.models.clip.modeling_clip.CLIPAttention",
• "diffusers.schedulers.scheduling_pndm.PNDMScheduler"

How to fix it?