Model card auto-generated by SimpleTuner

README.md

@@ -106,7 +106,7 @@ widget:
     negative_prompt: 'blurry, cropped, ugly'
   output:
     url: ./assets/image_18_0.png
-- text: 'julie, in photograph style'
+- text: 'a fully-clothed photograph of an adult woman, in photograph style'
   parameters:
     negative_prompt: 'blurry, cropped, ugly'
   output:
@@ -124,7 +124,7 @@ The main validation prompt used during training was:
 
 
 ```
-julie, in photograph style
+a fully-clothed photograph of an adult woman, in photograph style
 ```
 
 ## Validation settings
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 1
-- Training steps: 31500
+- Training steps: 32000
 - Learning rate: 4e-05
 - Effective batch size: 2
   - Micro-batch size: 1
@@ -223,7 +223,7 @@ adapter_id = 'ptx0/flux-dreambooth-lora-r128-dev-reddit'
 pipeline = DiffusionPipeline.from_pretrained(model_id)
 pipeline.load_lora_weights(adapter_id)
 
-prompt = "julie, in photograph style"
+prompt = "a fully-clothed photograph of an adult woman, in photograph style"
 
 
 pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')