Update README.md

README.md

@@ -38,25 +38,9 @@ You should use `TOK` to trigger the image generation.
 from diffusers import AutoPipelineForText2Image
 import torch
 
-# 1. Realistic Vision modelini yükle
-pipeline = AutoPipelineForText2Image.from_pretrained(
-    "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
-    torch_dtype=torch.float16
-).to("cuda")
-
-# 2. LoRA'yı zorla yükle (alpha=0.5 ile gücünü azaltın)
-pipeline.load_lora_weights(
-    "codermert/gamzekocc_fluxx",
-    weight_name="lora.safetensors",
-    adapter_name="fluxx",
-    cross_attention_scale=0.5  # LoRA etkisini hafiflet
-)
-
-# 3. Promptta hem trigger hem stil vurgusu yapın
-image = pipeline(
-    prompt="portrait of TOK, <fluxx>, photorealistic, 8K",  # TOK + adapter_name
-    negative_prompt="blurry, deformed"
-).images[0]
+pipeline = AutoPipelineForText2Image.from_pretrained('prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('codermert/gamzekocc_fluxx', weight_name='lora.safetensors')
+image = pipeline('your prompt').images[0]
 ```
 
 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)