elow.


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import torch
from diffusers import StableDiffusionPipeline
from diffusers.models.cross_attention import AttnProcessor2_0

pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to("cuda")
pipe.unet.set_attn_processor(AttnProcessor2_0())

prompt = "a photo of an astronaut riding a horse on mars"
image = pipe(prompt).images[0]
This should be as fast and memory efficient as xForm