Update README.md

README.md

@@ -19,40 +19,10 @@ pipeline_tag: text-to-image
 instance_prompt: TOK
 ---
 
-# Malikafinal
+# Malika
 
 <Gallery />
 
-## About this LoRA
-
-This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
-
-It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train
-
-
-## Trigger words
-
-You should use `TOK` to trigger the image generation.
-
-
-## Run this LoRA with an API using Replicate
-
-```py
-import replicate
-
-input = {
-    "prompt": "TOK",
-    "lora_weights": "https://huggingface.co/codermert/malikafinal/resolve/main/lora.safetensors"
-}
-
-output = replicate.run(
-    "black-forest-labs/flux-dev-lora",
-    input=input
-)
-for index, item in enumerate(output):
-    with open(f"output_{index}.webp", "wb") as file:
-        file.write(item.read())
-```
 
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
@@ -60,21 +30,25 @@ for index, item in enumerate(output):
 from diffusers import AutoPipelineForText2Image
 import torch
 
-pipeline = AutoPipelineForText2Image.from_pretrained('prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0', torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('codermert/malikafinal', weight_name='lora.safetensors')
-image = pipeline('TOK').images[0]
+# 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/malikafinal",
+    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]
 ```
 
 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)
-
-
-## Training details
-
-- Steps: 2002
-- Learning rate: 0.0004
-- LoRA rank: 16
-
-
-## Contribute your own examples
-
-You can use the [community tab](https://huggingface.co/codermert/malikafinal/discussions) to add images that show off what you’ve made with this LoRA.