  See https://github.com/google-research/vdm/blob/dc27b98a554f65cdc654b800da5aa1846545d41b/model_vdm.py#L298  unfuse_qkv_projections  < source > ( unet: bool = True vae: bool = True  )   Parameters   unet (bool, defaults to True) — To apply fusion on the UNet.   vae (bool, defaults to True) — To apply fusion on the VAE.    Disable QKV projection fusion if enabled. This API is 🧪 experimental.  AltDiffusionImg2ImgPipeline  class diffusers.AltDiffusionImg2ImgPipeline  < source > ( vae: AutoencoderKL text_encoder: RobertaSeriesModelWithTransformation tokenizer: XLMRobertaTokenizer unet: UNet2DConditionModel scheduler: KarrasDiffusionSchedulers safety_checker: StableDiffusionSafetyChecker feature_extractor: CLIPImageProcessor image_encoder: CLIPVisionModelWithProjection = None requires_safety_checker: bool = True  )   Parameters   vae (AutoencoderKL) —