Update README.md

README.md

@@ -12,47 +12,50 @@ base_model: "black-forest-labs/FLUX.1-dev"
 pipeline_tag: text-to-image
 instance_prompt: DHANUSH
 ---
+
 # Tugce_Flux
+
 Trained on Replicate using:
+
 https://replicate.com/ostris/flux-dev-lora-trainer/train
 
+
 ## Trigger words
 You should use `tugce` to trigger the image generation.
 
+
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
-```python
+```py
 from diffusers import AutoPipelineForText2Image
 import torch
 
-# Load the model and LoRA weights
+# Model ve LoRA'yı yükle
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('codermert/tugce2-lora', weight_name='flux_train_replicate.safetensors')
 
-# Define different aspect ratios
-aspect_ratios = [
+# Farklı boyutlar
+sizes = [
     (512, 512),  # 1:1
-    (768, 768),  # 3:3 (same as 1:1 but larger)
-    (640, 512),  # 5:4
     (768, 512),  # 3:2
-    (896, 512),  # 7:4
+    (640, 480),  # 4:3
+    (896, 504),  # 16:9
 ]
 
-# Generate images for each aspect ratio
-for width, height in aspect_ratios:
+# Prompt
+prompt = "tugce in a beautiful garden"
+
+# Her boyut için görüntü oluştur
+for width, height in sizes:
     image = pipeline(
-        'tugce in a beautiful garden',
+        prompt,
         width=width,
         height=height
     ).images[0]
     
-    # Save the image
+    # Görüntüyü kaydet
     image.save(f"tugce_{width}x{height}.png")
-    print(f"Generated: tugce_{width}x{height}.png")
+    print(f"Oluşturuldu: tugce_{width}x{height}.png")
 ```
 
-This code will generate images in various aspect ratios. You can modify the `aspect_ratios` list to include any desired dimensions.
-
-Remember to use the trigger word `tugce` in your prompts to activate the LoRA model.
-
 For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)