Update README.md

README.md

@@ -21,11 +21,12 @@ license: creativeml-openrail-m
 # Flux.1-Dev-Quote-LoRA
 
 <Gallery />
+
 **The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
 
 ## Model description 
 
-**prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA**
+**prithivMLmods/Flux.1-Dev-Quote-LoRA**
 
 Image Processing Parameters 
 
@@ -34,15 +35,16 @@ Image Processing Parameters
 | LR Scheduler              | constant | Noise Offset              | 0.03   |
 | Optimizer                 | AdamW  | Multires Noise Discount   | 0.1    |
 | Network Dim               | 64     | Multires Noise Iterations | 10     |
-| Network Alpha             | 32     | Repeat & Steps           | 19 & 1850|
+| Network Alpha             | 32     | Repeat & Steps           | 17 & 1750 |
 | Epoch                     | 10    | Save Every N Epochs       | 1     |
 
     Labeling: florence2-en(natural language & English)
     
-    Total Images Used for Training : 24 
+    Total Images Used for Training : 18
 
 ## Best Dimensions
 
+- 768 x 1024 (Best)
 - 1024 x 1024 (Default)
     
 ## Setting Up
@@ -53,8 +55,8 @@ from pipelines import DiffusionPipeline
 base_model = "black-forest-labs/FLUX.1-dev"
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
 
-lora_repo = "prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA"
-trigger_word = "stam9"  
+lora_repo = "prithivMLmods/Flux.1-Dev-Quote-LoRA"
+trigger_word = "quoter"  
 pipe.load_lora_weights(lora_repo)
 
 device = torch.device("cuda")
@@ -72,7 +74,6 @@ pipe.to(device)
 
 You should use `quoter` to trigger the image generation.
 
-
 ## Download model
 
 Weights for this model are available in Safetensors format.