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https://github.com/lllyasviel/Fooocus.git
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@@ -1,19 +1,12 @@
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import os
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import os
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import random
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import random
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import torch
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from comfy.sd import load_checkpoint_guess_config
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from comfy.sd import load_checkpoint_guess_config
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from comfy.model_management import unload_model
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from nodes import VAEDecode, KSamplerAdvanced, EmptyLatentImage, SaveImage, CLIPTextEncode
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from nodes import (
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VAEDecode,
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KSamplerAdvanced,
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EmptyLatentImage,
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SaveImage,
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CLIPTextEncode,
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)
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from modules.path import modelfile_path
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from modules.path import modelfile_path
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xl_base_filename = os.path.join(modelfile_path, 'sd_xl_base_1.0.safetensors')
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xl_base_filename = os.path.join(modelfile_path, 'sd_xl_base_1.0.safetensors')
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xl_refiner_filename = os.path.join(modelfile_path, 'sd_xl_refiner_1.0.safetensors')
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xl_refiner_filename = os.path.join(modelfile_path, 'sd_xl_refiner_1.0.safetensors')
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@@ -25,6 +18,7 @@ opEmptyLatentImage = EmptyLatentImage()
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opKSamplerAdvanced = KSamplerAdvanced()
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opKSamplerAdvanced = KSamplerAdvanced()
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opVAEDecode = VAEDecode()
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opVAEDecode = VAEDecode()
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with torch.no_grad():
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positive_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='a handsome man in forest')[0]
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positive_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='a handsome man in forest')[0]
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negative_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='bad, ugly')[0]
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negative_conditions = opCLIPTextEncode.encode(clip=xl_base_clip, text='bad, ugly')[0]
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@@ -45,7 +39,6 @@ samples = opKSamplerAdvanced.sample(
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negative=negative_conditions,
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negative=negative_conditions,
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latent_image=initial_latent_image,
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latent_image=initial_latent_image,
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)[0]
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)[0]
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unload_model()
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vae_decoded = opVAEDecode.decode(samples=samples, vae=xl_base_vae)[0]
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vae_decoded = opVAEDecode.decode(samples=samples, vae=xl_base_vae)[0]
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