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add cheap VAE approximation coeffs for SDXL

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AUTOMATIC1111 2023-07-14 20:27:41 +03:00
parent 471a5a66b7
commit ac2d47ff4c
1 changed files with 16 additions and 6 deletions
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22
modules/sd_vae_approx.py
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@ -64,12 +64,22 @@ def model():
def cheap_approximation(sample): def cheap_approximation(sample):
# https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/2 # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/2
coefs = torch.tensor([ if shared.sd_model.is_sdxl:
[0.298, 0.207, 0.208], coeffs = [
[0.187, 0.286, 0.173], [ 0.3448, 0.4168, 0.4395],
[-0.158, 0.189, 0.264], [-0.1953, -0.0290, 0.0250],
[-0.184, -0.271, -0.473], [ 0.1074, 0.0886, -0.0163],
]).to(sample.device) [-0.3730, -0.2499, -0.2088],
]
else:
coeffs = [
[ 0.298, 0.207, 0.208],
[ 0.187, 0.286, 0.173],
[-0.158, 0.189, 0.264],
[-0.184, -0.271, -0.473],
]
coefs = torch.tensor(coeffs).to(sample.device)
x_sample = torch.einsum("lxy,lr -> rxy", sample, coefs) x_sample = torch.einsum("lxy,lr -> rxy", sample, coefs)