Model card auto-generated by SimpleTuner

README.md

@@ -18,7 +18,7 @@ widget:
     negative_prompt: 'blurry, cropped, ugly'
   output:
     url: ./assets/image_0_0.png
-- text: 'simei and wukong'
+- text: 'wukong'
   parameters:
     negative_prompt: 'blurry, cropped, ugly'
   output:
@@ -35,7 +35,7 @@ The main validation prompt used during training was:
 
 
 ```
-simei and wukong
+wukong
 ```
 
 ## Validation settings
@@ -59,8 +59,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 299
-- Training steps: 1500
+- Training epochs: 27
+- Training steps: 500
 - Learning rate: 0.0001
 - Max grad norm: 1.0
 - Effective batch size: 1
@@ -100,9 +100,9 @@ You may reuse the base model text encoder for inference.
 
 ## Datasets
 
-### simeiwukong
+### newwukong
 - Repeats: 0
-- Total number of images: 5
+- Total number of images: 18
 - Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: True
@@ -124,7 +124,7 @@ lora_scale = 1.0
 wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
 wrapper.merge_to()
 
-prompt = "simei and wukong"
+prompt = "wukong"
 
 pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
 image = pipeline(