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							| @ -18,8 +18,14 @@ xl_refiner_filename = os.path.join(modelfile_path, 'sd_xl_refiner_1.0.safetensor | |||||||
| xl_base, xl_base_clip, xl_base_vae, xl_base_clipvision = load_checkpoint_guess_config(xl_base_filename) | xl_base, xl_base_clip, xl_base_vae, xl_base_clipvision = load_checkpoint_guess_config(xl_base_filename) | ||||||
| del xl_base_clipvision | del xl_base_clipvision | ||||||
| 
 | 
 | ||||||
| CLIPTextEncodeOperator = CLIPTextEncode() | opCLIPTextEncode = CLIPTextEncode() | ||||||
| positive_embedding = CLIPTextEncodeOperator.encode(clip=xl_base_clip, text='a handsome man in forest') | opEmptyLatentImage = EmptyLatentImage() | ||||||
| negative_embedding = CLIPTextEncodeOperator.encode(clip=xl_base_clip, text='bad, ugly') | opKSamplerAdvanced = KSamplerAdvanced() | ||||||
|  | 
 | ||||||
|  | 
 | ||||||
|  | positive_embedding = opCLIPTextEncode.encode(clip=xl_base_clip, text='a handsome man in forest') | ||||||
|  | negative_embedding = opCLIPTextEncode.encode(clip=xl_base_clip, text='bad, ugly') | ||||||
|  | 
 | ||||||
|  | initial_latent_image = opEmptyLatentImage.generate(width=1024, height=1536, batch_size=1) | ||||||
| 
 | 
 | ||||||
| a = 0 | a = 0 | ||||||
|  | |||||||
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