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			34 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
		
		
			
		
	
	
			34 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
|   | from PIL import Image | ||
|  | import numpy as np | ||
|  | 
 | ||
|  | from modules import scripts_postprocessing, gfpgan_model | ||
|  | import gradio as gr | ||
|  | 
 | ||
|  | from modules.ui_components import FormRow | ||
|  | 
 | ||
|  | 
 | ||
|  | class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing): | ||
|  |     name = "GFPGAN" | ||
|  |     order = 2000 | ||
|  | 
 | ||
|  |     def ui(self): | ||
|  |         with FormRow(): | ||
|  |             gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="GFPGAN visibility", value=0, elem_id="extras_gfpgan_visibility") | ||
|  | 
 | ||
|  |         return { | ||
|  |             "gfpgan_visibility": gfpgan_visibility, | ||
|  |         } | ||
|  | 
 | ||
|  |     def process(self, pp: scripts_postprocessing.PostprocessedImage, gfpgan_visibility): | ||
|  |         if gfpgan_visibility == 0: | ||
|  |             return | ||
|  | 
 | ||
|  |         restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image, dtype=np.uint8)) | ||
|  |         res = Image.fromarray(restored_img) | ||
|  | 
 | ||
|  |         if gfpgan_visibility < 1.0: | ||
|  |             res = Image.blend(pp.image, res, gfpgan_visibility) | ||
|  | 
 | ||
|  |         pp.image = res | ||
|  |         pp.info["GFPGAN visibility"] = round(gfpgan_visibility, 3) |