Update README.md

README.md

@@ -27,47 +27,11 @@ You should use `mert` to trigger the image generation.
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
 ```py
+from diffusers import AutoPipelineForText2Image
 import torch
-from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline
-
-# Ana model yükleme
-pipeline = StableDiffusionXLPipeline.from_single_file(
-    "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors",
-    torch_dtype=torch.float16
-).to("cuda")
-
-# Refiner model yükleme
-refiner = StableDiffusionXLImg2ImgPipeline.from_single_file(
-    "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/sd_xl_refiner_1.0.safetensors", 
-    torch_dtype=torch.float16
-).to("cuda")
-
-# LoRA ağırlıklarını yükleme ve birleştirme
+pipeline = AutoPipelineForText2Image.from_pretrained('prithivMLmods/Canopus-LoRA-Flux-FaceRealism', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('codermert/mert2_flux', weight_name='flux_train_replicate.safetensors')
-pipeline.fuse_lora(lora_scale=0.9)
-
-# Prompt tanımlama
-prompt = "close up portrait, Amidst the interplay of light and shadows in a photography studio,a soft spotlight traces the contours of a face,highlighting a figure clad in a sleek black turtleneck. The garment,hugging the skin with subtle luxury,complements the Caucasian model's understated makeup,embodying minimalist elegance. Behind,a pale gray backdrop extends,its fine texture shimmering subtly in the dim light,artfully balancing the composition and focusing attention on the subject. In a palette of black,gray,and skin tones,simplicity intertwines with profundity,as every detail whispers untold stories."
-
-# İlk aşama görüntü oluşturma
-image = pipeline(
-    prompt=prompt,
-    num_inference_steps=24,
-    guidance_scale=3.5,
-    width=768,
-    height=1024,
-).images[0]
-
-# Refiner ile görüntüyü iyileştirme
-refined_image = refiner(
-    prompt=prompt,
-    image=image,
-    num_inference_steps=30,
-    guidance_scale=3.5,
-).images[0]
-
-# Son görüntüyü kaydetme
-refined_image.save("example_refined.png")
+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)