though, you’ll use DiffusionPipeline for text-to-image generation with Latent Diffusion:


	Copied
>>> from diffusers import DiffusionPipeline

>>> generator = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256")
The DiffusionPipeline downloads and caches all modeling, tokenization, and scheduling components.
Because the model consists of roughly 1.4 billion parameters, we strongly recommend running it on GPU.
You can move the gen