Update README.md

README.md

@@ -8,47 +8,38 @@ tags:
 - flux
 - diffusers
 - lora
-- replicate
+- stable-diffusion
+- text-to-image
 base_model: "black-forest-labs/FLUX.1-dev"
 pipeline_tag: text-to-image
-# widget:
-#   - text: >-
-#       prompt
-#     output:
-#       url: https://...
-instance_prompt: TOK
+inference: true  # Bu satırı ekleyin
 ---
 
 # Malika
 
 <Gallery />
 
+## Usage with 🧨 Diffusers
 
-## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
-
-```py
-from diffusers import AutoPipelineForText2Image
+```python
+from diffusers import DiffusionPipeline
 import torch
 
-# 1. Realistic Vision modelini yükle
-pipeline = AutoPipelineForText2Image.from_pretrained(
-    "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
+# Load base model
+pipeline = DiffusionPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-dev",
     torch_dtype=torch.float16
 ).to("cuda")
 
-# 2. LoRA'yı zorla yükle (alpha=0.5 ile gücünü azaltın)
+# Load your LoRA
 pipeline.load_lora_weights(
     "codermert/malikafinal",
     weight_name="lora.safetensors",
-    adapter_name="fluxx",
-    cross_attention_scale=0.5  # LoRA etkisini hafiflet
+    adapter_name="malika"
 )
 
-# 3. Promptta hem trigger hem stil vurgusu yapın
+# Generate image
 image = pipeline(
-    prompt="portrait of TOK, <fluxx>, photorealistic, 8K",  # TOK + adapter_name
+    prompt="portrait of TOK, <malika>, photorealistic, 8K",
     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)
+).images[0]