Update app.py

app.py

@@ -6,9 +6,9 @@ import torch
 from PIL import Image
 from diffusers import StableDiffusionPipeline
 # Load the model
-# model_id = "nitrosocke/Ghibli-Diffusion"
+model_id = "nitrosocke/Ghibli-Diffusion"
 # model_id = "openfree/flux-chatgpt-ghibli-lora"
-# pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
+pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
 
 
 
@@ -25,8 +25,10 @@ from diffusers import StableDiffusionPipeline
 # lora_model_id = "openfree/flux-chatgpt-ghibli-lora"
 # pipe.load_lora_weights(lora_model_id)
 
-pipe = AutoPipelineForImage2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16,token=True)
-pipe.load_lora_weights('openfree/flux-chatgpt-ghibli-lora', weight_name='flux-chatgpt-ghibli-lora.safetensors')
+# pipe = AutoPipelineForImage2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16,token=True)
+# pipe.load_lora_weights('openfree/flux-chatgpt-ghibli-lora', weight_name='flux-chatgpt-ghibli-lora.safetensors')
+pipeline.load_lora_weights("alvarobartt/ghibli-characters-flux-lora")
+
 
 # Move pipeline to GPU if available
 device = "cuda" if torch.cuda.is_available() else "cpu"