image.save("cat.png") By deleting components you aren’t using and flushing the GPU VRAM, you should be able to run PixArtAlphaPipeline with under 8GB GPU VRAM.  If you want a report of your memory-usage, run this script. Text embeddings computed in 8-bit can impact the quality of the generated images because of the information loss in the representation space caused by the reduced precision. It’s recommended to compare the outputs with and without 8-bit. While loading the text_encoder, you set load_in_8bit to True. You could also specify load_in_4bit to bring your memory requirements down even further to under 7GB.  PixArtAlphaPipeline  class diffusers.PixArtAlphaPipeline  < source > ( tokenizer: T5Tokenizer text_encoder: T5EncoderModel vae: AutoencoderKL transformer: Transformer2DModel scheduler: DPMSolverMultistepScheduler  )   Parameters   vae (AutoencoderKL) —