The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
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class LatentFormat:
scale_factor = 1.0
latent_rgb_factors = None
taesd_decoder_name = None
def process_in(self, latent):
return latent * self.scale_factor
def process_out(self, latent):
return latent / self.scale_factor
class SD15(LatentFormat):
def __init__(self, scale_factor=0.18215):
self.scale_factor = scale_factor
self.latent_rgb_factors = [
# R G B
[ 0.3512, 0.2297, 0.3227],
[ 0.3250, 0.4974, 0.2350],
[-0.2829, 0.1762, 0.2721],
[-0.2120, -0.2616, -0.7177]
]
self.taesd_decoder_name = "taesd_decoder"
class SDXL(LatentFormat):
def __init__(self):
self.scale_factor = 0.13025
self.latent_rgb_factors = [
# R G B
[ 0.3920, 0.4054, 0.4549],
[-0.2634, -0.0196, 0.0653],
[ 0.0568, 0.1687, -0.0755],
[-0.3112, -0.2359, -0.2076]
]
self.taesd_decoder_name = "taesdxl_decoder"
class SD_X4(LatentFormat):
def __init__(self):
self.scale_factor = 0.08333
class SC_Prior(LatentFormat):
def __init__(self):
self.scale_factor = 1.0
class SC_B(LatentFormat):
def __init__(self):
self.scale_factor = 1.0