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resolve some of circular import issues for kohaku

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AUTOMATIC1111 2023-08-04 09:09:09 +03:00
parent 09165916fa
commit f0c1063a70
5 changed files with 17 additions and 15 deletions
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10
modules/sd_samplers_common.py
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@ -2,7 +2,7 @@ from collections import namedtuple
import numpy as np
import torch
from PIL import Image
from modules import devices, processing, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared
from modules import devices, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared
from modules.shared import opts, state
SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options'])
@ -35,7 +35,7 @@ def single_sample_to_image(sample, approximation=None):
x_sample = sample * 1.5
x_sample = sd_vae_taesd.model()(x_sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach()
else:
x_sample = processing.decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0] * 0.5 + 0.5
x_sample = decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0] * 0.5 + 0.5
x_sample = torch.clamp(x_sample, min=0.0, max=1.0)
x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
@ -44,6 +44,12 @@ def single_sample_to_image(sample, approximation=None):
return Image.fromarray(x_sample)
def decode_first_stage(model, x):
x = model.decode_first_stage(x.to(devices.dtype_vae))
return x
def sample_to_image(samples, index=0, approximation=None):
return single_sample_to_image(samples[index], approximation)