Spaces:
				
			
			
	
			
			
		Runtime error
		
	
	
	
			
			
	
	
	
	
		
		
		Runtime error
		
	Update app.py
Browse files
    	
        app.py
    CHANGED
    
    | @@ -31,7 +31,7 @@ ghibli_style_lora_path = hf_hub_download(repo_id="InstantX/FLUX.1-dev-LoRA-Ghibl | |
| 31 |  | 
| 32 | 
             
            # init InstantCharacter pipeline
         | 
| 33 | 
             
            pipe = InstantCharacterFluxPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
         | 
| 34 | 
            -
            pipe.to(device)
         | 
| 35 |  | 
| 36 | 
             
            # load InstantCharacter
         | 
| 37 | 
             
            pipe.init_adapter(
         | 
| @@ -40,6 +40,8 @@ pipe.init_adapter( | |
| 40 | 
             
                subject_ipadapter_cfg=dict(subject_ip_adapter_path=ip_adapter_path, nb_token=1024), 
         | 
| 41 | 
             
            )
         | 
| 42 |  | 
|  | |
|  | |
| 43 | 
             
            # load matting model
         | 
| 44 | 
             
            birefnet = AutoModelForImageSegmentation.from_pretrained(birefnet_path, trust_remote_code=True)
         | 
| 45 | 
             
            birefnet.to('cuda')
         | 
| @@ -302,4 +304,4 @@ with block: | |
| 302 |  | 
| 303 | 
             
                gr.Markdown(article)
         | 
| 304 |  | 
| 305 | 
            -
            block.launch()
         | 
|  | |
| 31 |  | 
| 32 | 
             
            # init InstantCharacter pipeline
         | 
| 33 | 
             
            pipe = InstantCharacterFluxPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
         | 
| 34 | 
            +
            #pipe.to(device)
         | 
| 35 |  | 
| 36 | 
             
            # load InstantCharacter
         | 
| 37 | 
             
            pipe.init_adapter(
         | 
|  | |
| 40 | 
             
                subject_ipadapter_cfg=dict(subject_ip_adapter_path=ip_adapter_path, nb_token=1024), 
         | 
| 41 | 
             
            )
         | 
| 42 |  | 
| 43 | 
            +
            pipe.enable_sequential_cpu_offload()
         | 
| 44 | 
            +
             | 
| 45 | 
             
            # load matting model
         | 
| 46 | 
             
            birefnet = AutoModelForImageSegmentation.from_pretrained(birefnet_path, trust_remote_code=True)
         | 
| 47 | 
             
            birefnet.to('cuda')
         | 
|  | |
| 304 |  | 
| 305 | 
             
                gr.Markdown(article)
         | 
| 306 |  | 
| 307 | 
            +
            block.launch(share = True)
         | 
 
			
