save_lora_weights() for saving LoRA weights.load_lora_weights() for loading LoRA weights.load_textual_inversion() for loading textual inversion embeddings.The pipeline also inherits the following loading methods: Implemented for all pipelines (downloading, saving, running on a particular device, etc.).
Check the superclass documentation for the generic methods This model inherits from DiffusionPipeline. Pipeline for text-guided image inpainting using Stable Diffusion. feature_extractor ( CLIPImageProcessor) -Ī CLIPImageProcessor to extract features from generated images used as inputs to the safety_checker.Please refer to the model card for more details safety_checker ( StableDiffusionSafet圜hecker) -Ĭlassification module that estimates whether generated images could be considered offensive or harmful.Can be one ofĭDIMScheduler, LMSDiscreteScheduler, or PNDMScheduler. Variational Auto-Encoder (VAE) Model to encode and decode images to and from latent representations.įrozen text-encoder ( clip-vit-large-patch14).Ī UNet2DConditionModel to denoise the encoded image latents.Ī scheduler to be used in combination with unet to denoise the encoded image latents.
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