File size: 697 Bytes
e402ae6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
#!/usr/bin/env python3
import torch
import numpy as np
from diffusers import StableDiffusionXLPipeline
path = "hf-internal-testing/tiny-stable-diffusion-xl-pipe"
pipe = StableDiffusionXLPipeline.from_pretrained(path)
pipe.unet.set_default_attn_processor()
prompt = "An astronaut riding a green horse on Mars"
steps = 3
batch_size, height, width, ch = 1, 32, 32, 4
num_elems = batch_size * height * width * ch
latents = (torch.arange(num_elems) / num_elems)[:, None, None, None].reshape(batch_size, ch, width, height)
print("latents", latents.abs().sum())
image = pipe(prompt, latents=latents, num_inference_steps=3, output_type="np", guidance_scale=7.5).images[0]
print(np.abs(image).sum())
|