Update app.py

app.py

@@ -36,11 +36,11 @@ taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).
 good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device)
 
 txt2img_pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype).to(device)
-txt2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
+# txt2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
 
 # img2img model
 img2img_pipe = AutoPipelineForImage2Image.from_pretrained(base_model, vae=good_vae, transformer=txt2img_pipe.transformer, text_encoder=txt2img_pipe.text_encoder, tokenizer=txt2img_pipe.tokenizer, text_encoder_2=txt2img_pipe.text_encoder_2, tokenizer_2=txt2img_pipe.tokenizer_2, torch_dtype=dtype)
-img2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
+# img2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
 
 
 MAX_SEED = 2**32 - 1