Update app.py

app.py

@@ -1,12 +1,23 @@
-from diffusers import DiffusionPipeline
+from diffusers import DiffusionPipeline, StableDiffusionPipeline
+import torch
 
-# FLUX modelini yükle
-pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
-pipeline.to("cuda")
+# Model ve LoRA'yı yükle
+model_id = "black-forest-labs/FLUX.1-dev"
+lora_model_path = "codermert/tugce2-lora"
 
-# Kendi LoRA modelini yükle
-pipeline.unet.load_attn_procs("codermert/tugce2-lora")
+# Pipeline'ı oluştur
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.to("cuda")
 
-# Prompt ile resim oluştur
-image = pipeline("A portrait of a woman smiling in a park").images[0]
-image.save("output.png")
+# LoRA'yı yükle
+pipe.unet.load_attn_procs(lora_model_path)
+
+# Prompt oluştur
+prompt = "A portrait of a woman with brown hair, smiling, high quality, detailed"
+negative_prompt = "blurry, low quality, distorted"
+
+# Görüntü oluştur
+image = pipe(prompt=prompt, negative_prompt=negative_prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
+
+# Görüntüyü kaydet
+image.save("generated_image.png")