update

app.py

@@ -31,7 +31,7 @@ def monkeypatching(alpha, in_prompt): #, prompt, pipe): finetuned_lora_weights
         counter +=1
     else :
         tune_lora_scale(pipe.unet, alpha) #1.00)
-    prompt = "style of sks, " + str(in_prompt)   #"baby lion"
+    prompt = "style of hclu, " + str(in_prompt)   #"baby lion"
     image = pipe(prompt, num_inference_steps=50, guidance_scale=7).images[0]
     image.save("./illust_lora.jpg") #"./contents/illust_lora.jpg")
     return image
@@ -44,7 +44,7 @@ def accelerate_train_lora(steps):
       --pretrained_model_name_or_path={MODEL_NAME}  \
       --instance_data_dir={INSTANCE_DIR} \
       --output_dir={OUTPUT_DIR} \
-      --instance_prompt="style of sks" \
+      --instance_prompt="style of hclu" \
       --resolution=512 \
       --train_batch_size=1 \
       --gradient_accumulation_steps=1 \