Text-to-Image Generation
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Usage example
	


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import torch
from diffusers import StableDiffusionSAGPipeline
from accelerate.utils import set_seed

pipe = StableDiffusionSAGPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16)
pipe = pipe.to("cuda")

seed = 8978
prompt = "."
guidance_scale = 7.5
num_images_per_prompt = 1

sag_scale = 1.0

set_seed(seed)
images = pipe(
    prompt, num_images_per_prompt