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import os | |
import random | |
from comfy.sd import load_checkpoint_guess_config | |
from nodes import ( | |
VAEDecode, | |
KSamplerAdvanced, | |
EmptyLatentImage, | |
SaveImage, | |
CLIPTextEncode, | |
) | |
from modules.path import modelfile_path | |
xl_base_filename = os.path.join(modelfile_path, 'sd_xl_base_1.0.safetensors') | |
xl_refiner_filename = os.path.join(modelfile_path, 'sd_xl_refiner_1.0.safetensors') | |
xl_base, xl_base_clip, xl_base_vae, xl_base_clipvision = load_checkpoint_guess_config(xl_base_filename) | |
del xl_base_clipvision | |
opCLIPTextEncode = CLIPTextEncode() | |
opEmptyLatentImage = EmptyLatentImage() | |
opKSamplerAdvanced = KSamplerAdvanced() | |
positive_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='a handsome man in forest')[0] | |
negative_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='bad, ugly')[0] | |
initial_latent_image = opEmptyLatentImage.generate(width=1024, height=1536, batch_size=1)[0] | |
samples = opKSamplerAdvanced.sample( | |
add_noise="enable", | |
noise_seed=random.randint(1, 2 ** 64), | |
steps=25, | |
cfg=9, | |
sampler_name="euler", | |
scheduler="normal", | |
start_at_step=0, | |
end_at_step=25, | |
return_with_leftover_noise="enable", | |
model=xl_base, | |
positive=positive_conditions, | |
negative=negative_conditions, | |
latent_image=initial_latent_image, | |
) | |
a = 0 | |