Update README.md

README.md

@@ -35,12 +35,37 @@ You should use `TOK` to trigger the image generation.
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
 ```py
-from diffusers import AutoPipelineForText2Image
+from diffusers import AutoPipelineForText2Image, AutoencoderKL
 import torch
 
-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]
+# 1. Ana modeli yükle
+pipeline = AutoPipelineForText2Image.from_pretrained(
+    "SG161222/Realistic_Vision_V6.0_B1_noVAE",
+    torch_dtype=torch.float16,
+    variant="fp16"
+).to("cuda")
+
+# 2. VAE ekle (opsiyonel)
+pipeline.vae = AutoencoderKL.from_pretrained(
+    "stabilityai/sd-vae-ft-mse",
+    torch_dtype=torch.float16
+).to("cuda")
+
+# 3. LoRA'yı yükle
+pipeline.load_lora_weights(
+    "codermert/gamzekocc_fluxx",
+    weight_name="lora.safetensors",
+    adapter_name="fluxx_style"
+)
+
+# 4. Görüntü oluştur
+image = pipeline(
+    prompt="portrait of a cyber ninja, <fluxx_style>, ultra-detailed, 8K",
+    negative_prompt="blurry, cartoon, deformed",
+    num_inference_steps=30
+).images[0]
+
+image.save("cyber_ninja.png")
 ```
 
 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)