Hoppsss
trygvebw
/ find_noise.py
Last active
March 11, 2024 12:50
A "reverse" version of the k_euler sampler for Stable Diffusion, which finds the noise that will reconstruct the supplied image
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| import torch | |
| import numpy as np | |
| import k_diffusion as K | |
| from PIL import Image | |
| from torch import autocast | |
| from einops import rearrange, repeat | |
| def pil_img_to_torch(pil_img, half=False): | |
| image = np.array(pil_img).astype(np.float32) / 255.0 |